Qualifications

• with strong retail domain expertise to lead and implement enterprise-level data governance strategies for AI/ML initiatives

• 10+ years in Data Governance/Data Stewardship (3–5 years in AI/ML data)

• Strong experience with enterprise data platforms & large-scale environments

• Hands-on knowledge of AI/ML pipelines, MLOps tools (MLflow, Azure ML, SageMaker, Databricks)

• Experience with data governance tools (Collibra, Alation, Atlan, Informatica)

• Working knowledge of SQL & Python

• Familiarity with Snowflake, BigQuery, Redshift

• Strong understanding of GDPR, CCPA & Responsible AI practices

• 5 more items(s)

Responsibilities

• Define and enforce AI data governance policies

• Ensure data quality, lineage, and compliance

• Lead cross-functional governance initiatives

• Drive adoption of best practices in AI/ML data management

• 1 more items(s)

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Job description

Title: AI Governance Specialist (Retail Domain)

We're looking for an experienced AI Governance Specialist

with strong retail domain expertise to lead and implement enterprise-level data governance strategies for AI/ML initiatives.

Key Requirements:

10+ years in Data Governance/Data Stewardship (3–5 years in AI/ML data)

Strong experience with enterprise data platforms & large-scale environments...

Hands-on knowledge of AI/ML pipelines, MLOps tools (MLflow, Azure ML, SageMaker, Databricks)

Experience with data governance tools (Collibra, Alation, Atlan, Informatica)

Working knowledge of SQL & Python

Familiarity with Snowflake, BigQuery, Redshift

Strong understanding of GDPR, CCPA & Responsible AI practices

What You'll Do:

Define and enforce AI data governance policies

Ensure data quality, lineage, and compliance

Lead cross-functional governance initiatives

Drive adoption of best practices in AI/ML data management

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Qualifications

• A bachelor's degree in Business, Analytics, Computer Science, Engineering, or a related field, with five years of relevant experience; or a graduate degree with approximately three years of related work experience

• Significant experience in management consulting and proven success in developing and deploying AI solutions across various sectors

• Demonstrated ability to lead small teams and mentor junior professionals, ensuring project success

• A deep understanding of AI fundamentals, cloud platforms (e.g., AWS, Azure), and compliance with data privacy regulations

• The willingness to travel and work beyond standard hours when necessary

• 2 more items(s)

Benefits

• Enjoy a comprehensive compensation and benefits package rewarding your performance, including a base salary ranging from $205,000 to $235,000, medical and dental coverage, and a flexible vacation policy

Responsibilities

• As a Director within EY-Parthenon's AI Business Solutions team, you will lead the development, solutioning, and deployment of innovative AI solutions for some of the world's most dynamic organizations

• This role is crucial for solving complex problems and enhancing performance across various sectors, guiding clients in navigating the AI landscape

• Engage directly with clients to assess their needs, leading workshops and proposing AI-driven solutions that align with their business objectives

• Utilize your deep knowledge of AI and Machine Learning to lead the design and implementation of practical, scalable AI solutions

• Manage large datasets and ensure data quality, while developing robust data pipelines for AI applications

• Lead project workstreams, prioritizing tasks and managing time efficiently to meet tight deadlines

• Drive value for our clients with your business acumen and consultative approach

• Foster strong relationships with clients, positioning yourself as a trusted advisor

• 5 more items(s)

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Job description

At EY, we're committed to helping you shape your future with confidence. Join a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Be part of EY and contribute to building a better working world.

Position Overview

As a Director within EY-Parthenon's AI Business Solutions team, you will lead the development, solutioning, and deployment of innovative AI... solutions for some of the world's most dynamic organizations. This role is crucial for solving complex problems and enhancing performance across various sectors, guiding clients in navigating the AI landscape.

Your Responsibilities

• Engage directly with clients to assess their needs, leading workshops and proposing AI-driven solutions that align with their business objectives.

• Utilize your deep knowledge of AI and Machine Learning to lead the design and implementation of practical, scalable AI solutions.

• Manage large datasets and ensure data quality, while developing robust data pipelines for AI applications.

• Lead project workstreams, prioritizing tasks and managing time efficiently to meet tight deadlines.

• Drive value for our clients with your business acumen and consultative approach.

• Foster strong relationships with clients, positioning yourself as a trusted advisor.

Qualifications

• A bachelor's degree in Business, Analytics, Computer Science, Engineering, or a related field, with five years of relevant experience; or a graduate degree with approximately three years of related work experience.

• Significant experience in management consulting and proven success in developing and deploying AI solutions across various sectors.

• Demonstrated ability to lead small teams and mentor junior professionals, ensuring project success.

• A deep understanding of AI fundamentals, cloud platforms (e.g., AWS, Azure), and compliance with data privacy regulations.

• The willingness to travel and work beyond standard hours when necessary.

Preferred Qualifications

• An MBA or graduate degree with a focus on client advisory or strategic planning.

• Experience with firm-approved AI tools, including Microsoft Copilot.

Why Join Us?

Joining EY means being part of a diverse and inclusive culture where you'll gain future-focused skills and world-class experiences. Enjoy a comprehensive compensation and benefits package rewarding your performance, including a base salary ranging from $205,000 to $235,000, medical and dental coverage, and a flexible vacation policy.

If you are ready to shape your future with confidence, we encourage you to apply today!

EY is proud to be an equal opportunity employer committed to building a better working world.

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Qualifications

• This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed

• You must be uncomfortable with status quo, curious about new programs and initiatives impacting our customers, partners, and employees, and possess the ability to ask the right questions

• This function needs to have a bias for action, make informed decisions, demonstrating a proactive approach to projects and tasks

• You must be comfortable taking risks and raising the bar for new ways of doing things

• Strong analytical, Think Big, Invent & Simplify skills are crucial for success in this position

• 5+ years of developing, negotiating and executing business agreements experience

• Bachelor's degree

• Experience developing strategies that influence leadership decisions at the organizational level

• Experience managing programs across cross functional teams, building processes and coordinating release schedules

• Experience in Go-To-Market, Business Development, Sales, or Consulting

• These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation

• 8 more items(s)

Benefits

• Work/Life Balance

• We value work-life harmony

• Your Amazon package will include sign-on payments and restricted stock units (RSUs)

• Final compensation will be determined based on factors including experience, qualifications, and location

• Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave

• 2 more items(s)

Responsibilities

• This role will be pivotal in driving the successful implementation of key strategic initiatives and ensuring alignment with overall business objectives, to achieve our vision as a single organization

• This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence

• Contribute to AAIS portfolio strategy development, architecting comprehensive strategies and analytics frameworks to drive data-driven decision making across regions

• Design and implement field and partner enablement programs, including training, and engagement models to transform sales effectiveness through innovative technology solutions

• Partner with GTM leadership to translate business questions into analytical frameworks that drive strategic initiatives and operational excellence

• Develop geo-specific GTM plans and "Get to Green" plans, implementing scalable mechanisms that drive organizational effectiveness across multiple regions

• Build strategic relationships with field and partner leadership, serving as a primary liaison between AAIS GTM leaders and regional stakeholders

• Partner with business teams to deliver deep-dive analyses, highlighting business opportunities and risks, while managing feedback loops between field teams, partners, and GTM leadership

• Lead cross-organizational initiatives with partner teams to integrate solutions and streamline business processes

• Foster organizational alignment through effective communication of strategy and goals across all levels, driving proven results

• Analyze business dynamics and architect scalable solutions, identifying opportunities for AAIS-specific enhancements to AWS field and partner scaling programs

• Roll up sleeves and build sophisticated data models and data analysis as needed

• Proactively perform advanced analytics that support the business priorities, identify anomalies, and improve business process

• Ensure quality and consistency of analytical outputs across team deliverables

• Oversee the development and maintenance of recurring reporting frameworks including AAIS initiatives and goals

• 12 more items(s)

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DESCRIPTION

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide ou...r customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

Our vision in the Applied AI Solutions Go-To-Market team is to be a leading provider of AI and Agentic business applications, leveraging Amazon’s unique experience and expertise, used by millions of companies around the world to manage their day-to-day operations. Our mission is to accelerate our customers’ businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We approach this challenge by blending vision with curiosity, and Amazon’s real-world experience, to build opinionated, turn-key solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

We are seeking an experienced and strategic-minded Senior Tech BD to join the Applied AI Solutions GTM acceleration team and work closely with senior leaders, to ensure that we are aligned and working as single organization to achieve our strategic goals. This role will be pivotal in driving the successful implementation of key strategic initiatives and ensuring alignment with overall business objectives, to achieve our vision as a single organization.

This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed.

You must be uncomfortable with status quo, curious about new programs and initiatives impacting our customers, partners, and employees, and possess the ability to ask the right questions. This function needs to have a bias for action, make informed decisions, demonstrating a proactive approach to projects and tasks. You must be comfortable taking risks and raising the bar for new ways of doing things. Strong analytical, Think Big, Invent & Simplify skills are crucial for success in this position.

Key job responsibilities

1. Contribute to AAIS portfolio strategy development, architecting comprehensive strategies and analytics frameworks to drive data-driven decision making across regions.

2. Design and implement field and partner enablement programs, including training, and engagement models to transform sales effectiveness through innovative technology solutions.

3. Partner with GTM leadership to translate business questions into analytical frameworks that drive strategic initiatives and operational excellence

4. Develop geo-specific GTM plans and "Get to Green" plans, implementing scalable mechanisms that drive organizational effectiveness across multiple regions.

5. Build strategic relationships with field and partner leadership, serving as a primary liaison between AAIS GTM leaders and regional stakeholders.

6. Partner with business teams to deliver deep-dive analyses, highlighting business opportunities and risks, while managing feedback loops between field teams, partners, and GTM leadership.

7. Lead cross-organizational initiatives with partner teams to integrate solutions and streamline business processes.

8. Foster organizational alignment through effective communication of strategy and goals across all levels, driving proven results.

9. Analyze business dynamics and architect scalable solutions, identifying opportunities for AAIS-specific enhancements to AWS field and partner scaling programs.

10. Roll up sleeves and build sophisticated data models and data analysis as needed.

11. Proactively perform advanced analytics that support the business priorities, identify anomalies, and improve business process.

12. Ensure quality and consistency of analytical outputs across team deliverables. Oversee the development and maintenance of recurring reporting frameworks including AAIS initiatives and goals.

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

BASIC QUALIFICATIONS

• 5+ years of developing, negotiating and executing business agreements experience

• Bachelor's degree

• Experience developing strategies that influence leadership decisions at the organizational level

• Experience managing programs across cross functional teams, building processes and coordinating release schedules

• Experience in Go-To-Market, Business Development, Sales, or Consulting

PREFERRED QUALIFICATIONS

• MBA

• 3+ years of working with Business Application Technologies, including, but not limited to End User Compute (EUC), Supply Chain, Contact Center as a Service, Consumer Data Applications, Encrypted Communications, and/or Communication Developer Services experience

• Experience interpreting data and making business recommendations

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Irvine - 147,900.00 - 200,100.00 USD annually

USA, CA, Mountain View - 162,700.00 - 220,200.00 USD annually

USA, CA, San Diego - 147,900.00 - 200,100.00 USD annually

USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually

USA, IL, Chicago - 147,900.00 - 200,100.00 USD annually

USA, NY, New York - 162,700.00 - 220,200.00 USD annually

USA, TX, Austin - 147,900.00 - 200,100.00 USD annually

USA, TX, Dallas - 147,900.00 - 200,100.00 USD annually

USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually

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Job description

Pay: From CA$150,000.00 per year

Job description:

Blackbook.ai is one of Australia’s most successful and progressive technology consulting companies, and we have joined various progressive markets across the globe with our most recent expansion in Calgary, Alberta. Our mission is to hire, train local candidates to deliver services back into companies in the local community. Our use of Digital RP...A, Intelligent Automation and AI to deliver on our client’s pursuit of bottom-line benefits; has resulted in a company that can claim a 100% success rate in solution delivery. We have an agile approach to tackling problems. We understand that there isn’t one solution to every problem! Our unique approach to problem-solving will see you working directly with our customers, capturing additional requirements and developing intuitive solutions while drawing on the vast knowledge of existing team members.

The Senior Consultant role will see you working closely with the our Sales team to lead post sales engagements, design and develop solutions, and conduct discoveries with end Clients. Candidates must effectively communicate with members of a delivery team, stakeholders, and teams while championing their success.

Your responsibilities will likely include the following:

• Engage directly with clients to complete process discovery and drive enablement of AI and Data solutions.

• Develop, test, and deploy technology solutions in automation, digital, data or AI.

• Collaborate with the internal development team and other teams across different regions

• Collaborate with business users to understand process requirements.

• Maintain and troubleshoot existing digital workflows.

• Continuously learn several technologies and methodologies such as UiPath, Power Platform, Azure, AWS, React.js, .net, SQL, Python, Prompt Engineering etc.

To be considered for the position, you will have experience or have been exposed to the following:

• 5+ Years Software Engineering, Computer Science, IT, or similar

• Data Engineering/Modelling Expertise

• Have a can-do attitude

• Possess excellent written and verbal communication skills

• Strong problem-solving skills and attention to detail

• Solutions-focused and critical thinking skills

• Willingness to learn and adapt to new technologies

• Professional English-speaking skills

• Full working rights in the Canada and went to High School in Alberta.

Highly regarded:

• Knowledge of Azure, Databricks and Power Platform will be highly regarded

Blackbook.ai can offer a fast-paced and collaborative delivery environment with an emphasis on culture and teamwork, ensuring all projects are delivered with our high standards. We have a large team of dedicated consultants able to work alongside and guide you through your journey and offer on-the-job training and development with access to multiple certifications.

Blackbook.ai can offer a competitve remuneration package.

If you are looking to grow with our business by combining your energy and enthusiasm with Blackbook’s solutions, please apply with your resume and cover letter.

Job Type: Full-time

Benefits:

• Casual dress

• Company events

• Paid time off

• Tuition reimbursement

• Wellness program

• Work from home

Application question(s):

• What is your salary expectations (not including benefits in this total) for this role?

• Will you now, or in the future, require sponsorship for employment visa status?

Education:

• Bachelor's Degree (required)

Work Location: Hybrid remote in Calgary, AB T2P 0R3

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Qualifications

• Strong foundational knowledge of computer vision - object detection, image classification, semantic segmentation, pose estimation, or related areas

• Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX

• Familiarity with common CV architectures (CNNs, Vision Transformers, diffusion models, etc.)

• Comfortable reading and understanding ML research papers

• Solid understanding of data preprocessing, augmentation, and annotation best practices for visual data

• Detail-oriented and systematic in evaluating model outputs

• Clear, concise written communicator who can explain technical concepts effectively in English

• Self-motivated and reliable when working independently

• Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence

• MS or PhD in Computer Science, Electrical Engineering, or a related field with a focus on CV or ML

• Published research in top CV/ML venues (CVPR, ICCV, ECCV, NeurIPS, ICML, etc.)

• Experience with 3D vision, video understanding, generative models, or multimodal AI

• Familiarity with MLOps tools, experiment tracking, and model evaluation pipelines

• Background in specialized domains such as medical imaging, remote sensing, robotics, or autonomous driving

• Experience with annotation platforms and data quality workflows at scale

• Proficiency in Python and scientific computing libraries (NumPy, OpenCV, scikit-learn)

• No prior RLHF or AI training experience

• Engagement: 1099 independent contractor

• 15 more items(s)

Benefits

• Location: Fully remote - work from anywhere on the accepted locations list

• Compensation: $30-$70/hr based on location and seniority

• Note: the majority of projects run at around $30/hr - higher rates apply to senior profiles and specific project types

• Payment: Weekly via PayPal or Stripe

• Important: Hours are project-dependent and can vary week to week

• 2 more items(s)

Responsibilities

• Help train and evaluate AI models that perceive, interpret, and understand the visual world - from image recognition and object detection to segmentation and visual reasoning:

• Evaluate AI-generated outputs on image recognition, object detection, segmentation, and visual reasoning tasks

• Assess the quality, accuracy, and robustness of computer vision model predictions

• Identify failure modes, edge cases, and biases in visual AI systems

• Create, review, and refine training data annotations for CV pipelines

• Write detailed technical evaluations and suggest concrete improvements

• Work across diverse visual domains - natural images, medical imaging, autonomous systems, document understanding

• End result: the model learns to see, interpret, and reason about visual data the way a trained expert would

• RLHF in one line: Generate code expert engineers rank, edit, and justify convert that feedback into reward signals reinforcement learning tunes the model toward code you'd actually ship

• Hours: Minimum 15 hrs/week, up to 40+ hrs/week available - hours vary by project and are not guaranteed week to week

• 7 more items(s)

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Job description

Before applying

This role is open to contractors in accepted locations only. Please confirm your country is on the list before applying - we're unable to process applications from unlisted locations. List of accepted countries and locations.

For US applicants

This is a 1099 independent contractor role. It is not compatible with F-1 OPT, STEM OPT, or any visa status that requires W-2 employment,... guaranteed hours, or employer sponsorship.

We are unable to provide offer letters or employment verification for this role.

What You'll Be Doing

Help train and evaluate AI models that perceive, interpret, and understand the visual world - from image recognition and object detection to segmentation and visual reasoning:

• Evaluate AI-generated outputs on image recognition, object detection, segmentation, and visual reasoning tasks

• Assess the quality, accuracy, and robustness of computer vision model predictions

• Identify failure modes, edge cases, and biases in visual AI systems

• Create, review, and refine training data annotations for CV pipelines

• Write detailed technical evaluations and suggest concrete improvements

• Work across diverse visual domains - natural images, medical imaging, autonomous systems, document understanding

End result: the model learns to see, interpret, and reason about visual data the way a trained expert would.

RLHF in one line: Generate code expert engineers rank, edit, and justify convert that feedback into reward signals reinforcement learning tunes the model toward code you'd actually ship.

What You'll Need

• Strong foundational knowledge of computer vision - object detection, image classification, semantic segmentation, pose estimation, or related areas

• Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX

• Familiarity with common CV architectures (CNNs, Vision Transformers, diffusion models, etc.)

• Comfortable reading and understanding ML research papers

• Solid understanding of data preprocessing, augmentation, and annotation best practices for visual data

• Detail-oriented and systematic in evaluating model outputs

• Clear, concise written communicator who can explain technical concepts effectively in English

• Self-motivated and reliable when working independently

Identity verification: Applicants will be required to verify their identity and confirm they have valid documentation to work as an independent contractor in their country of residence.

Nice to Have

• MS or PhD in Computer Science, Electrical Engineering, or a related field with a focus on CV or ML

• Published research in top CV/ML venues (CVPR, ICCV, ECCV, NeurIPS, ICML, etc.)

• Experience with 3D vision, video understanding, generative models, or multimodal AI

• Familiarity with MLOps tools, experiment tracking, and model evaluation pipelines

• Background in specialized domains such as medical imaging, remote sensing, robotics, or autonomous driving

• Experience with annotation platforms and data quality workflows at scale

• Proficiency in Python and scientific computing libraries (NumPy, OpenCV, scikit-learn)

What You Don't Need

• No prior RLHF or AI training experience

Logistics

• Location: Fully remote - work from anywhere on the accepted locations list

• Compensation: $30-$70/hr based on location and seniority. Note: the majority of projects run at around $30/hr - higher rates apply to senior profiles and specific project types

• Hours: Minimum 15 hrs/week, up to 40+ hrs/week available - hours vary by project and are not guaranteed week to week

• Engagement: 1099 independent contractor

• Payment: Weekly via PayPal or Stripe

Important: Hours are project-dependent and can vary week to week. We recommend keeping other work options open alongside this engagement rather than relying on it as your sole source of income.

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Qualifications

• Ideal candidates will have a Bachelor's degree, 5-10 years of experience in professional services, and hands-on experience with generative AI tools

• This hybrid role requires strong stakeholder management skills and a genuine curiosity about AI's practical applications

Responsibilities

• You will design and build low-code AI solutions, engage with stakeholders, and coach teams on AI adoption

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A leading accounting and advisory firm in Houston is seeking an AI Coach to act as the key AI resource across teams. You will design and build low-code AI solutions, engage with stakeholders, and coach teams on AI adoption. Ideal candidates will have a Bachelor's degree, 5-10 years of experience in professional services, and hands-on experience with generative AI tools.

This hybrid role requires ...strong stakeholder management skills and a genuine curiosity about AI's practical applications.

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Qualifications

• Ensure smooth integration of AI-driven experiences with existing user interfaces and workflows

• A minimum of 5-8 years of product management experience, especially in AI-powered platforms

• Experience delivering agentic or conversational AI experiences

• Strong knowledge of user-centered design principles for AI systems

• Ability to lead cross-functional teams effectively

• Experience in complex, multi-product environments

• Experience with agent orchestration frameworks or data platforms

• Background in enterprise or developer-facing platforms

• Familiarity with AI trust, explainability, and human-in-the-loop patterns

• Experience with UX research focused on AI usability and trust testing

• 7 more items(s)

Benefits

• Our competitive pay ranges from $156,400 to $234,700 annually, and we offer a comprehensive benefits package, including healthcare and retirement plans

Responsibilities

• The Senior Product Manager for AI-Enhanced User Experience will lead user engagement, activation, and value creation through AI-driven experiences across our platform

• You will be accountable for designing interactions that adapt based on user intent, role, and context

• This position encompasses user experience strategy for AI administration and the interaction layer of our AI Assistant, Terry, defining how administrative tasks transition into agentic experiences

• As the owner of the product roadmap, you will spearhead cross-functional collaboration between design, content strategy, and engineering to ensure the delivery of seamless and scalable AI administrative experiences

• Oversee the full user experience for AI-powered administrative capabilities

• Ensure energy, momentum, and clarity throughout AI interactions, from initial use to advanced workflows

• Confirm that AI-driven experiences enhance outcomes without hindering user progress

• Establish where AI administration concludes, and user experience starts across modalities (GUI, CLI, API, IDE, etc.)

• Lead as the product owner for agent interaction models and workflows

• Collaborate with designers and content strategists to define agent behaviors, tone, feedback patterns, and control mechanisms

• Translate user intent into cohesive workflows and experience requirements

• Facilitate collaboration among design, content, engineering, and core teams

• Manage the prioritization and sequencing of tasks to optimize experience quality, technical feasibility, and delivery speed

• Influence outcomes through clarity and alignment within a matrixed organization

• Execution & Delivery

• Develop clear, outcome-focused requirements for AI-assisted experiences

• Work alongside engineering to ensure the user experience aligns with agent capabilities and system behaviors

• Guarantee the launch of AI features with appropriate safeguards and user feedback mechanisms

• Maintain high usability standards as AI capabilities evolve

• Measurement & Continuous Improvement

• Define and monitor success metrics for agent adoption, task completion, and user trust in AI workflows

• Utilize data and feedback to refine experiences and eliminate friction

• Identify opportunities for improved engagement through enhanced orchestration and guidance

• Engage with design, content, engineering, and core platform teams

• Partner with other product leaders to ensure consistency across agent experiences

• 22 more items(s)

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About Us

At Teradata, we empower individuals with superior information to enhance decision-making. Our comprehensive cloud analytics and data platform for AI delivers unified data, reliable AI, and quicker innovations, helping our customers improve their business performance and enrich customer experiences.

Your Role

• The Senior Product Manager for AI-Enhanced User Experience will lead user eng...agement, activation, and value creation through AI-driven experiences across our platform. You will be accountable for designing interactions that adapt based on user intent, role, and context.

• This position encompasses user experience strategy for AI administration and the interaction layer of our AI Assistant, Terry, defining how administrative tasks transition into agentic experiences.

• As the owner of the product roadmap, you will spearhead cross-functional collaboration between design, content strategy, and engineering to ensure the delivery of seamless and scalable AI administrative experiences.

Key Responsibilities:

• Oversee the full user experience for AI-powered administrative capabilities.

• Ensure energy, momentum, and clarity throughout AI interactions, from initial use to advanced workflows.

• Confirm that AI-driven experiences enhance outcomes without hindering user progress.

• Establish where AI administration concludes, and user experience starts across modalities (GUI, CLI, API, IDE, etc.).

AI Experience Leadership

• Lead as the product owner for agent interaction models and workflows.

• Collaborate with designers and content strategists to define agent behaviors, tone, feedback patterns, and control mechanisms.

• Translate user intent into cohesive workflows and experience requirements.

• Ensure smooth integration of AI-driven experiences with existing user interfaces and workflows.

Cross-Functional Leadership

• Facilitate collaboration among design, content, engineering, and core teams.

• Manage the prioritization and sequencing of tasks to optimize experience quality, technical feasibility, and delivery speed.

• Influence outcomes through clarity and alignment within a matrixed organization.

Execution & Delivery

• Develop clear, outcome-focused requirements for AI-assisted experiences.

• Work alongside engineering to ensure the user experience aligns with agent capabilities and system behaviors.

• Guarantee the launch of AI features with appropriate safeguards and user feedback mechanisms.

• Maintain high usability standards as AI capabilities evolve.

Measurement & Continuous Improvement

• Define and monitor success metrics for agent adoption, task completion, and user trust in AI workflows.

• Utilize data and feedback to refine experiences and eliminate friction.

• Identify opportunities for improved engagement through enhanced orchestration and guidance.

Who You'll Collaborate With

• Engage with design, content, engineering, and core platform teams.

• Partner with other product leaders to ensure consistency across agent experiences.

Your Qualifications

• A minimum of 5-8 years of product management experience, especially in AI-powered platforms.

• Experience delivering agentic or conversational AI experiences.

• Strong knowledge of user-centered design principles for AI systems.

• Ability to lead cross-functional teams effectively.

• Experience in complex, multi-product environments.

What You'll Bring

• Experience with agent orchestration frameworks or data platforms.

• Background in enterprise or developer-facing platforms.

• Familiarity with AI trust, explainability, and human-in-the-loop patterns.

• Experience with UX research focused on AI usability and trust testing.

Why Join Teradata?

We cherish our people-first culture, offering a flexible work model that honors your decisions on when and where to work. Your well-being is a priority, and we are devoted to nurturing an inclusive environment that celebrates diversity.

Our competitive pay ranges from $156,400 to $234,700 annually, and we offer a comprehensive benefits package, including healthcare and retirement plans. Details will be shared during the hiring process.

Teradata is an equal opportunity employer that values diversity and seeks applicants from all backgrounds. If you need accommodations during the interview, please inform your recruiter, and we will assist you.

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Qualifications

• The candidate should have experience in computational modeling, a background in Python programming, and familiarity with cheminformatics

Responsibilities

• This hybrid position offers the opportunity to work on innovative projects within a collaborative environment, contributing to publications and multidisciplinary research

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Job description

A leading cancer research institution in Houston seeks a Molecular Modeling Scientist to leverage macromolecular modeling techniques and machine learning for novel cancer therapeutics. The candidate should have experience in computational modeling, a background in Python programming, and familiarity with cheminformatics. This hybrid position offers the opportunity to work on innovative projects wi...thin a collaborative environment, contributing to publications and multidisciplinary research.

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Qualifications

• Education: Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, or a related technical field

• Coding Prowess: Strong fundamentals in Rust and Python

• 3D & Networking Fluency: A solid grasp of 3D geometry (kinematics) and networking basics (TCP/UDP, bandwidth optimization)

• Systems Thinker: Experience working in Linux environments and a passion for navigating complex open-source codebases

• The "Builder" Mindset: You’ve built things—whether it’s a game in XR, a custom drone, or a contribution to an open-source library

• Experience with Unreal Engine (Blueprints/C++) or OpenXR

• Knowledge of custom shader writing or GPU profiling

• Familiarity with modern build systems like Nix or Bazel

• A history of contributing to open-source projects

• 6 more items(s)

Benefits

• You'll shape technology that's redefining the possibilities of robotics and human interaction

• Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate

• We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities

Responsibilities

• You will solve the "unreliable transport" problem, ensuring our robots move fluidly even when the network doesn't want to cooperate

• Architect Immersive Interfaces: Help develop our primary XR application used by operators to control humanoid robots

• Optimize Data Pipelines: Build and tune low-latency streaming protocols (Rust) that function over real-world WiFi, Wired and bluetooth networks

• Bridge the Stack: Develop software that interfaces directly with hardware SDKs for robot sensing, motion capture, and control

• Innovate in XR: Build frontend systems for AR devices (Android/Embedded Linux) using OpenXR and frameworks like StereoKit or Unity

• Scale and Monitor: Use Python to build test harnesses and automation scripts, ensuring our fleet remains reliable as it grows

• 3 more items(s)

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Job description

Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona’s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, re...liable products at massive scale, while building a customer-focused team to achieve these aims.

Teleoperation Software Engineering Internship

Location:

Houston, Texas or Pensacola, Florida

Duration:

12–16 weeks The Mission

At Persona AI, the Teleoperation Team is the bridge between human intuition and artificial intelligence. We aren't just building a remote control; we are building a high-fidelity, low-latency "nervous system" for our humanoid fleet.

As a Teleoperation Intern, you will work across our entire hardware and software stack, integrating firmware, backend infrastructure, retargeting, and XR interfaces. You will solve the "unreliable transport" problem, ensuring our robots move fluidly even when the network doesn't want to cooperate. If you’re obsessed with sub-millisecond latency, real-time rendering, and the future of robotics, we want you on the front lines.

What You’ll Do

• Architect Immersive Interfaces: Help develop our primary XR application used by operators to control humanoid robots.

• Optimize Data Pipelines: Build and tune low-latency streaming protocols (Rust) that function over real-world WiFi, Wired and bluetooth networks.

• Bridge the Stack: Develop software that interfaces directly with hardware SDKs for robot sensing, motion capture, and control.

• Innovate in XR: Build frontend systems for AR devices (Android/Embedded Linux) using OpenXR and frameworks like StereoKit or Unity.

• Scale and Monitor: Use Python to build test harnesses and automation scripts, ensuring our fleet remains reliable as it grows.

What We’re Looking For

• Education: Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, or a related technical field.

• Coding Prowess: Strong fundamentals in Rust and Python. Familiarity with C++ is a plus.

• 3D & Networking Fluency: A solid grasp of 3D geometry (kinematics) and networking basics (TCP/UDP, bandwidth optimization).

• Systems Thinker: Experience working in Linux environments and a passion for navigating complex open-source codebases.

• The "Builder" Mindset: You’ve built things—whether it’s a game in XR, a custom drone, or a contribution to an open-source library.

Bonus Points

• Experience with Unreal Engine (Blueprints/C++) or OpenXR.

• Knowledge of custom shader writing or GPU profiling.

• Familiarity with modern build systems like Nix or Bazel.

• A history of contributing to open-source projects.

Program Details

We review applications on a rolling basis, so applying early is strongly recommended. Our internships are competitive, and early applicants often have the best chance to be matched with available projects.

Now Reviewing Applications For

• Fall 2026 (August-December)

• Spring 2027 (January-May)

Why join Persona AI?

• You'll shape technology that's redefining the possibilities of robotics and human interaction.

• Work alongside passionate teammates who value diversity, creativity, and continuous learning.

• Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.

• We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.

Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.

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Qualifications

• This opportunity is for an Artificial Intelligence (AI)/Machine Learning (ML) Engineer with hands‑on experience in image, video, and LiDAR data processing to build advanced analytics and machine learning solutions

• Experience with front‑end development using React is a strong plus

• Software & API Development

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or related fields

• 5-7 years of hands‑on experience in AI/ML engineering with focus on computer vision

• Strong proficiency in Python and popular ML/CV libraries:

• PyTorch, Tensor Flow, OpenCV, scikit‑learn

• Num Py, pandas

• Image/video processing libraries (Pillow, FFmpeg, Open3D, PCL)

• Experience with LiDAR/point‑cloud processing (Open3D, PDAL, PyTorch3D or similar)

• Experience with Azure AI/ML stack (Azure ML, Data Lake, Functions, Dev Ops)

• Solid understanding of deep‑learning architectures (CNNs, transformers for vision, 3D models)

• Experience in model evaluation, benchmarking, and optimization

• Strong problem‑solving skills, ability to work with noisy/unstructured multimodal data

• Travel up to 15% of the time

• The selected candidate must be authorized to work in the United States

• Familiarity with MLOps tools (DVC, MLflow, Kubeflow)

• 14 more items(s)

Benefits

• Opportunity to work on cutting‑edge AI/ML solutions in image, video, and 3D analytics

• Collaborative environment with strong learning and growth support

• Exposure to enterprise‑scale Azure AI projects

• Health (medical, dental, vision) and disability coverage

• Retirement savings plan

• Paid sick leave, paid vacation, paid parental leave, and paid bereavement/voting time

• Compensation

• Expected Salary (all locations): $97,000 – $141,350 per annum

• WSP USA reserves the right to pay more or less based on internal equity and specific geographic location

• 6 more items(s)

Responsibilities

• New York, Washington DC, Denver, Seattle, Los Angeles, Chicago, Austin, or Dallas

• Image, Video & LiDAR Data Analytics

• Develop and optimize computer‑vision models for image classification, object detection, segmentation, OCR, and anomaly detection

• Build pipelines for processing large‑scale video streams (real‑time or batch)

• Work with LiDAR point‑cloud data for feature extraction, 3D object detection, scene reconstruction, and spatial analytics

• Implement preprocessing, augmentation, and feature engineering workflows for multimodal datasets

• Machine Learning & Deep Learning Development

• Design, train, evaluate, and deploy deep‑learning models using frameworks such as PyTorch, Tensor Flow, OpenCV, MM Detection, Detectron2, etc

• Apply techniques such as transfer learning, fine‑tuning, and model optimization (quantization, pruning)

• Maintain reproducible experimentation using MLflow, notebooks, and version‑control best practices

• Azure Cloud & MLOps

• Build and deploy models on Azure Machine Learning, Azure Databricks, and Azure Cognitive Services

• Develop scalable data pipelines using Azure Data Lake, Azure Functions, Azure Storage, Event Hubs, etc

• Implement CI/CD workflows, containerization (Docker), and model deployment using AKS, ACI, or serverless options

• Build Python‑based microservices for model inference and data processing

• Develop REST APIs to integrate machine‑learning models into downstream applications

• Build lightweight front‑end dashboards using React for visualization of image/video results (optional)

• Work closely with product, engineering, and domain teams to translate requirements into technical solutions

• Document workflows, architectures, and best practices

• 16 more items(s)

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Job description

Position: AI / ML Engineer - Image Analytics

This opportunity is for an Artificial Intelligence (AI)/Machine Learning (ML) Engineer with hands‑on experience in image, video, and LiDAR data processing to build advanced analytics and machine learning solutions. Experience with front‑end development using React is a strong plus.

This role may be based in:

New York, Washington DC, Denver, Seattle, L...os Angeles, Chicago, Austin, or Dallas.

Image, Video & LiDAR Data Analytics

• Develop and optimize computer‑vision models for image classification, object detection, segmentation, OCR, and anomaly detection.

• Build pipelines for processing large‑scale video streams (real‑time or batch).

• Work with LiDAR point‑cloud data for feature extraction, 3D object detection, scene reconstruction, and spatial analytics.

• Implement preprocessing, augmentation, and feature engineering workflows for multimodal datasets.

Machine Learning & Deep Learning Development

• Design, train, evaluate, and deploy deep‑learning models using frameworks such as PyTorch, Tensor Flow, OpenCV, MM Detection, Detectron2, etc.

• Apply techniques such as transfer learning, fine‑tuning, and model optimization (quantization, pruning).

• Maintain reproducible experimentation using MLflow, notebooks, and version‑control best practices.

Azure Cloud & MLOps

• Build and deploy models on Azure Machine Learning, Azure Databricks, and Azure Cognitive Services.

• Develop scalable data pipelines using Azure Data Lake, Azure Functions, Azure Storage, Event Hubs, etc.

• Implement CI/CD workflows, containerization (Docker), and model deployment using AKS, ACI, or serverless options.

Software & API Development

• Build Python‑based microservices for model inference and data processing.

• Develop REST APIs to integrate machine‑learning models into downstream applications.

• Build lightweight front‑end dashboards using React for visualization of image/video results (optional).

Cross‑functional Collaboration

• Work closely with product, engineering, and domain teams to translate requirements into technical solutions.

• Document workflows, architectures, and best practices.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or related fields.

• 5-7 years of hands‑on experience in AI/ML engineering with focus on computer vision.

• Strong proficiency in Python and popular ML/CV libraries:

• PyTorch, Tensor Flow, OpenCV, scikit‑learn

• Num Py, pandas

• Image/video processing libraries (Pillow, FFmpeg, Open3D, PCL)

• Experience with LiDAR/point‑cloud processing (Open3D, PDAL, PyTorch3D or similar).

• Experience with Azure AI/ML stack (Azure ML, Data Lake, Functions, Dev Ops).

• Solid understanding of deep‑learning architectures (CNNs, transformers for vision, 3D models).

• Experience in model evaluation, benchmarking, and optimization.

• Strong problem‑solving skills, ability to work with noisy/unstructured multimodal data.

• Travel up to 15% of the time.

• The selected candidate must be authorized to work in the United States.

Preferred Qualifications

• Experience with React.js for building simple visualization dashboards.

• Experience with multimodal AI (image + text, video + sensor data).

• Exposure to edge deployments (NVIDIA Jetson, ONNX Runtime, Tensor

RT).

• Familiarity with MLOps tools (DVC, MLflow, Kubeflow).

What We Offer

• Opportunity to work on cutting‑edge AI/ML solutions in image, video, and 3D analytics.

• Collaborative environment with strong learning and growth support.

• Exposure to enterprise‑scale Azure AI projects.

Benefits

• Health (medical, dental, vision) and disability coverage.

• Retirement savings plan.

• Paid sick leave, paid vacation, paid parental leave, and paid bereavement/voting time.

Compensation

• Expected Salary (all locations): $97,000 – $141,350 per annum.

• WSP USA reserves the right to pay more or less based on internal equity and specific geographic location.

Equal Opportunity Employer – WSP USA (and all of its U.S. companies) is an Equal Opportunity Employer regardless of race, age, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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Qualifications

• A Cloud Architect interested in solving some of the hardest problems in enterprise AI transformation—designing multi-agent systems that actually work, building composable architectures that blend AI and traditional distributed systems, and transforming established industries

• Minimum of 2 years of hands-on experience building interesting and innovative applications, or equivalent open-source contribution (several projects as ongoing contributor)

• Minimum of 2 years of experience explaining complex AI concepts to a non-technical audience

• Minimum of 2 years of experience designing software systems that incorporate AI components—understanding when AI is appropriate, designing around its limitations, and creating fallback mechanisms

• Minimum of 4 years of experience working in an agile team

• Minimum of 2 years of experience and understanding of AI system observability and debugging (LLM tracing, analyzing failure modes)

• Bachelor's degree or equivalent (minimum 12 years) work experience

• (If Associate’s Degree, must have minimum 6 years work experience)

• Experience building with LLM APIs (Claude, GPT-4, etc.) and understanding prompt engineering patterns

• Experience designing multi-agent systems with distinct roles (planning, execution, evaluation, coordination)

• Experience designing and building MCP Server and Client including standard connection, tools and data exposure as well as specific tools

• Experience with agentic frameworks (LangChain, LlamaIndex, or custom orchestration patterns)

• Experience analyzing and transforming existing systems—understanding legacy architectures through systematic dependency analysis, git history mining, and architectural discovery before modification (brownfield work is most of enterprise AI)

• Hands-on experience with vector databases and RAG architectures (Qdrant, Pinecone, ChromaDB, Weaviate)

• Understanding of graph databases and knowledge graphs (Neo4j, Neptune) for semantic relationships and ontology modeling

• Hands-on experience with cloud platforms (AWS, Azure, or GCP)—specifically choosing and configuring components for AI-native architectures

• Experience with event-driven architectures and streaming technologies (Kafka, Kinesis, EventBridge, event streaming platforms) for real-time AI feedback loops

• Experience with microservices architectures and composable system design

• Experience with containerization and orchestration (Docker, Kubernetes, ECS)

• Understanding of observability and monitoring for AI systems (LLM tracing, token usage, latency, cost tracking)

• Experience with production AI operations—LLMOps, prompt versioning, model lifecycle management, or managing AI systems at scale

• Experience with real-time communication protocols (WebSockets, Server-Sent Events, HTTP/2) for human-AI interaction patterns

• Experience with distributed transactional data stores and their consistency models

• Functional programming experience, particularly patterns relevant to AI systems (immutability, pure functions, composition)

• Understanding of information retrieval, semantic search, or embedding-based similarity

• Prior experience in traditional ML/data science (helpful but not required—we're often doing something quite different)

• Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States

• 24 more items(s)

Benefits

• Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off

• Role Location Annual Salary Range

• California $70,350 to $196,000

• Cleveland $59,100 to $156,800

• Colorado $63,800 to $169,300

• Massachusetts $63,800 to $180,300

• Minnesota $63,800 to $169,300

• New York $66,300 to $196,000

• New Jersey $68,000 to $196,000

• 6 more items(s)

Responsibilities

• Leveraging deep expertise across cloud platforms and technologies, this practice works collaboratively with clients to design scalable, secure, and resilient cloud environments

• Most software developers, engineers, and architects get to build software systems

• Travel may be required for this role

• The amount of travel will vary from 0 to 100% depending on business need and client requirements

• 1 more items(s)

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Job description

We Are

Accenture is recognized as a global leader in AI and cloud transformation, helping businesses across industries migrate, manage, and optimize their cloud environments. Through partnerships with leading cloud providers such as Nvidia, AWS, Microsoft Azure, and Google Cloud, Accenture offers end-to-end services that drive innovation and business agility.

The Cloud Advisory Practice focuses ...on helping organizations define, plan, and implement innovative AI and cloud strategies that drive business value. Leveraging deep expertise across cloud platforms and technologies, this practice works collaboratively with clients to design scalable, secure, and resilient cloud environments. The practice offers guidance in key areas such as agentic AI infrastructure & hosting, modern cloud foundation, security and resiliency, full-stack FinOps, and cloud-native development approaches, ensuring that clients achieve agility, operational efficiency, and long-term growth. By aligning AI and cloud initiatives with business goals, the practice helps organizations realize the full potential of cloud innovation while navigating industry-specific challenges and regulations

You Are

A Cloud Architect interested in solving some of the hardest problems in enterprise AI transformation—designing multi-agent systems that actually work, building composable architectures that blend AI and traditional distributed systems, and transforming established industries.

The Work

Most software developers, engineers, and architects get to build software systems. Very few get to transform how industries operate. We're combining AI technology, industry expertise, and entrepreneurial experience to fundamentally reimagine core business processes across financial services, healthcare, procurement, retail, and logistics. We partner with our clients to build better products and experiences at enterprise scale.

• We're doing this by leveraging agentic architectures, multi-agent orchestration patterns, and composable AI systems alongside proven distributed patterns (Event Sourcing, Event-Driven Architecture, Microservices, Domain-Driven Design, CQRS) and technologies such as (Claude API, Neo4j, Qdrant, PostgreSQL, event streaming platforms, vector databases, cloud platforms) to build AI-native solutions for the enterprise.

• Most of our work fits what we call AI Transformation Decoupling: we design and build state-of-the-art agentic systems to wrap legacy cores, establish real-time feedback loops, add new AI-native functionality, and methodically transform existing systems into composable, event-driven architectures that support human-AI collaboration at scale.

• Before we change anything, we use AI agents to systematically understand what exists—mapping dependencies, analyzing git history, discovering hidden coupling, and identifying knowledge concentration—transforming months of manual analysis into days of comprehensive intelligence. This means transformations informed by reality, not assumptions, and changes that don't break production because we discovered the constraints first. You'll learn patterns proven in production, understand when each applies and why, and build systems that scale because they're architecturally sound—not just technically sophisticated.

• Our team is deeply hands-on, highly technical, and prides itself on being battle-hardened, lead-from-the-front AI transformation thought leaders

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

• Minimum of 2 years of hands-on experience building interesting and innovative applications, or equivalent open-source contribution (several projects as ongoing contributor).

• Minimum of 2 years of experience explaining complex AI concepts to a non-technical audience. If you can explain what RAG, semantic search, or multi-agent orchestration are to a layperson, you've got this.

• Minimum of 2 years of experience designing software systems that incorporate AI components—understanding when AI is appropriate, designing around its limitations, and creating fallback mechanisms.

• Minimum of 4 years of experience working in an agile team.

• Minimum of 2 years of experience and understanding of AI system observability and debugging (LLM tracing, analyzing failure modes)

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Bonus Points if you Have

• Experience building with LLM APIs (Claude, GPT-4, etc.) and understanding prompt engineering patterns

• Experience designing multi-agent systems with distinct roles (planning, execution, evaluation, coordination)

• Experience designing and building MCP Server and Client including standard connection, tools and data exposure as well as specific tools

• Experience with agentic frameworks (LangChain, LlamaIndex, or custom orchestration patterns)

• Experience analyzing and transforming existing systems—understanding legacy architectures through systematic dependency analysis, git history mining, and architectural discovery before modification (brownfield work is most of enterprise AI)

• Hands-on experience with vector databases and RAG architectures (Qdrant, Pinecone, ChromaDB, Weaviate)

• Understanding of graph databases and knowledge graphs (Neo4j, Neptune) for semantic relationships and ontology modeling

• Hands-on experience with cloud platforms (AWS, Azure, or GCP)—specifically choosing and configuring components for AI-native architectures

• Experience with event-driven architectures and streaming technologies (Kafka, Kinesis, EventBridge, event streaming platforms) for real-time AI feedback loops

• Experience with microservices architectures and composable system design

• Experience with containerization and orchestration (Docker, Kubernetes, ECS)

• Understanding of observability and monitoring for AI systems (LLM tracing, token usage, latency, cost tracking)

• Experience with production AI operations—LLMOps, prompt versioning, model lifecycle management, or managing AI systems at scale

• Experience with real-time communication protocols (WebSockets, Server-Sent Events, HTTP/2) for human-AI interaction patterns

• Experience with distributed transactional data stores and their consistency models

• Functional programming experience, particularly patterns relevant to AI systems (immutability, pure functions, composition)

• Understanding of information retrieval, semantic search, or embedding-based similarity

• Prior experience in traditional ML/data science (helpful but not required—we're often doing something quite different)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 06/30/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $70,350 to $196,000

Cleveland $59,100 to $156,800

Colorado $63,800 to $169,300

District of Columbia $68,000 to $180,300

Illinois $59,100 to $169,300

Maryland $63,800 to $169,300

Massachusetts $63,800 to $180,300

Minnesota $63,800 to $169,300

New York $66,300 to $196,000

New Jersey $68,000 to $196,000

Washington $80,200 to $180,300

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

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AI Governance Specialist (Retail Domain)

Zero to AI Engineer