
## Full Description
**Job Summary**:

• *Job Type**

• *Seniority**

• *Years of Experience**

Information not provided

• *Tech Stacks**

Container GitLab Amazon S3 AWS Docker Jenkins GitLab CI Kubeflow CI ELK EC2 Git Azure Java Grafana Prometheus Kubernetes Scala Python

• *_Job Responsibilities:_**

- Building and maintaining the infrastructure necessary for deploying, monitoring, and scaling machine learning models within the bank.

- Develop and maintain pipelines for model training, evaluation, and deployment.

- Implement monitoring and alerting systems to track model performance and data quality in production.

- Automate processes for model retraining, versioning, and rollback.

- Collaborate with data scientists and software engineers to optimize models for performance, scalability, and reliability.

- Ensure compliance with regulatory requirements and security standards in all ML operations.

- Research and implement best practices for ML Ops to improve efficiency and reduce operational overhead.

• *_

Job Requirement:_**

- Bachelor’s degree in Computer Science, Engineering, or a related field.

- Familiarity with machine learning concepts and techniques.

- Strong understanding of cloud computing platforms and containerization technologies.

- Proven experience in software development and/or data engineering.

- Experience with deploying and managing machine learning models in production environments.

- Proficiency in programming languages such as Python, Java, or Scala.

- Knowledge of DevOps principles and practices.

- Proficiency in cloud platforms like AWS, Azure, or GCP.

- Experience with containerization tools like Docker and Kubernetes.

- Knowledge of CI/CD pipelines and automation tools like Jenkins or GitLab CI.

- Familiarity with version control systems such as Git.

• *_

Required Tool and Program Proficiency:_**

- Proficient in cloud services such as AWS S3, EC2, SageMaker, or equivalent.

- Experience with container orchestration platforms like Kubernetes.

- Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK stack.

- Knowledge of ML Ops platforms like Kubeflow or MLflow is a plus.



## Qualifications
* This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS partner 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
* 5+ 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
* 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
* Bachelor's degree
* Experience developing strategies that influence leadership decisions at the organizational level
* 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
## Benefits
* Work/Life Balance
* We value work-life harmony
* The base pay for this position ranges from $133,200/year in our lowest geographic market up to $220,200/year in our highest geographic market
* Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits
## 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
* Lead the development and execution of comprehensive AAIS portfolio partner enablement strategy, ensuring alignment with overall GTM objectives and service team priorities
* Design and implement scalable partner training programs, leveraging AI-powered tools and platforms to maximize reach and effectiveness across AWS Partner Network
* Own and optimize AWS partner enablement tools (including Partner Central) for AAIS content management, ensuring high-quality, accessible resources for partner teams
* Build and maintain measurement frameworks to evaluate enablement effectiveness, providing data-driven insights to optimize partner performance and program impact
* Coordinate and execute strategic enablement initiatives including roadshows, training events, and certification programs across regions
* Develop and maintain comprehensive partner enablement content, ensuring consistency across the AAIS portfolio while maximizing use of AI for scale
* Create and manage feedback loops between partner teams, field enablement, and GTM leadership to continuously improve enablement effectiveness
* Drive integration with existing AWS partner scaling programs while identifying opportunities for AAIS-specific enhancements
* Partner with cross-functional teams (Marketing, Training, Service teams) to ensure aligned messaging and maximize resource utilization across enablement initiatives

## Full Description
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 our 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 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 partner 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. Lead the development and execution of comprehensive AAIS portfolio partner enablement strategy, ensuring alignment with overall GTM objectives and service team priorities

2. Design and implement scalable partner training programs, leveraging AI-powered tools and platforms to maximize reach and effectiveness across AWS Partner Network

3. Own and optimize AWS partner enablement tools (including Partner Central) for AAIS content management, ensuring high-quality, accessible resources for partner teams

4. Build and maintain measurement frameworks to evaluate enablement effectiveness, providing data-driven insights to optimize partner performance and program impact

5. Coordinate and execute strategic enablement initiatives including roadshows, training events, and certification programs across regions

6. Develop and maintain comprehensive partner enablement content, ensuring consistency across the AAIS portfolio while maximizing use of AI for scale

7. Create and manage feedback loops between partner teams, field enablement, and GTM leadership to continuously improve enablement effectiveness

8. Drive integration with existing AWS partner scaling programs while identifying opportunities for AAIS-specific enhancements

9. Partner with cross-functional teams (Marketing, Training, Service teams) to ensure aligned messaging and maximize resource utilization across enablement initiatives

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

• 5+ 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

• 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience

• Bachelor's degree

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

PREFERRED QUALIFICATIONS

• MBA

• Experience influencing innovation through a partner ecosystem with either solutions or programs that have demonstrated success at enterprise customers

• Technical skills highly preferred (SQL, Reporting, Dashboarding) to manage programs end to end.

• Experience explaining complex technical concepts to various business and technical audiences

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

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.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,200/year in our lowest geographic market up to $220,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.



## Qualifications
* Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent years of IT experience
* 5+ years Experience deploying and administering NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g., Cray, HPE, IBM)
* 5+ years coordinating and supporting Linux-based operating systems
* 5+ years Proficiency in programming languages such as Python, Go, C/C++; experience with Git and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins)
* Advanced knowledge of Kubernetes, Docker, Terraform, Ansible, Jenkins, GitOps, Git, and Linux
* 5+ years Experience with the software development lifecycle: design, development, testing, packaging, and deployment (preferably using Python or Go)
## Benefits
* The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits
* Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training
* The full salary range for certain locations is listed below
* For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process
* U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance
* Please see the Cisco careers site to discover more benefits and perks
* Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time
* U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:
* 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
* 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
* Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
* Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
* 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
* Additional paid time away may be requested to deal with critical or emergency issues for family members
* Optional 10 paid days per full calendar year to volunteer
* For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies
* Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan
* For quota-based incentive pay, Cisco typically pays as follows:
* .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
* 1.5% of incentive target for each 1% of attainment between 50% and 75%;
* 1% of incentive target for each 1% of attainment between 75% and 100%; and
* Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation
* For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target
* Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid
* For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined
* Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements
## Responsibilities
* Working alongside top AI experts, you'll contribute to ethical AI products and solutions that solve real-world problems and shape the future of technology
* Leverage SRE practices to reduce toil and maintain Service Level Objectives (SLOs) for internal AI platforms
* Lead, build, and run fully automated pipelines through CI/CD systems for operational excellence and continuous improvements
* Ensure the availability, scalability, latency, and efficiency of NVIDIA DGX and Cisco-UCS infrastructure using fault-tolerant engineering approaches
* Drive capacity planning, performance analysis, instrumentation, and other non-functional requirements
* Automate operational capabilities using Python, Ansible, Terraform, Go, and related technologies
* Deliver automation through CI/CD pipelines and chatbot integrations
* Implement metrics-driven processes to maintain high service quality

## Full Description
The application window is expected to close on: 12-25-25

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Work location: Remote withing USA

Meet the Team

At Cisco, the AI Infrastructure Services team is at the forefront of integrating artificial intelligence into our platforms, transforming collaboration, security, networking,observability, and more. We design, build, and maintain high-performance compute and AI platforms-including NVIDIA DGX and Cisco-UCS infrastructure-to empower Cisco's business and drive innovation. Working alongside top AI experts, you'll contribute to ethical AI products and solutions that solve real-world problems and shape the future of technology.

Your Impact

As an AI Site Reliability Engineer, you will:

- Leverage SRE practices to reduce toil and maintain Service Level Objectives (SLOs) for internal AI platforms.

- Lead, build, and run fully automated pipelines through CI/CD systems for operational excellence and continuous improvements.

- Ensure the availability, scalability, latency, and efficiency of NVIDIA DGX and Cisco-UCS infrastructure using fault-tolerant engineering approaches.

- Drive capacity planning, performance analysis, instrumentation, and other non-functional requirements.

- Automate operational capabilities using Python, Ansible, Terraform, Go, and related technologies.

- Deliver automation through CI/CD pipelines and chatbot integrations.

- Implement metrics-driven processes to maintain high service quality.

Minimum Qualifications

- Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent years of IT experience.

- 5+ years Experience deploying and administering NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g., Cray, HPE, IBM).

- 5+ years coordinating and supporting Linux-based operating systems.

- 5+ years Proficiency in programming languages such as Python, Go, C/C++; experience with Git and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins).

- 5+ years experience deploying enterprise-grade Kubernetes clusters (RedHat OpenShift preferred) and/or Google Anthos.

- Advanced knowledge of Kubernetes, Docker, Terraform, Ansible, Jenkins, GitOps, Git, and Linux.

- 5+ years Experience with the software development lifecycle: design, development, testing, packaging, and deployment (preferably using Python or Go).

Preferred Qualifications

- Master's degree or equivalent experience in a relevant field.

- Certifications in Linux, networking, cloud, or related technologies.

- Previous experience as a compute or site/systems reliability engineer.

- Experience with hybrid cloud, virtualization, and container technologies.

- Familiarity with Agile and DevOps operating models, including project tracking tools (e.g., Jira, Rally).

- Excellent collaboration, leadership, and communication skills.

Why Cisco?

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $165,000.00 to $241,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:

• 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

• 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

• Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

• Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

• 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

• Additional paid time away may be requested to deal with critical or emergency issues for family members

• Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

• .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

• 1.5% of incentive target for each 1% of attainment between 50% and 75%;

• 1% of incentive target for each 1% of attainment between 75% and 100%; and

• Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$165,000.00 - $277,600.00

Non-Metro New York state & Washington state:

$146,700.00 - $247,000.00

• For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

• * Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.



## Qualifications
* As needed by the specific problem, you design, evaluate, and maintain ontologies
* Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required
* Minimum of 1 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration
* Minimum of 2 year and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases
* Minimum of 2 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)
* Minimum of 5 years of hands-on experience with cloud platforms (AWS, Azure, GCP)
* Minimum of 5 years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)
* Minimum of 2 years of practical experience with NLP techniques, prompt engineering, and LLMs for enterprise-scale applications
* Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation
* You have team lead experience
* Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones
* You have external client-facing consulting experience
* Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field
* Broad experience in diverse ML techniques and agentic systems
* 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
## Benefits
* 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
* Role Location Annual Salary Range
* California $73,800 to $220,400
* Cleveland $68,300 to $176,300
* Colorado $73,800 to $190,400
* Maryland $73,800 to $190,400
* Massachusetts $73,800 to $202,700
* Minnesota $73,800 to $190,400
* New York/New Jersey $68,300 to $220,400
## Responsibilities
* As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems
* You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems
* You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios)
* As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value
* You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals
* Build Knowledge Graph solutions that transform clients’ data architecture
* Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly
* Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies
* Develop strong relationships with clients and gain the trust of key advisors
* Make the business case for the semantic layer solution recommended to the client
* Pitch in on Accenture sales efforts when needed
* Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns
* Travel may be required for this role
* The amount of travel will vary from 0% to 100% depending on business need and client requirements

## Full Description
We Are:

Accenture is helping companies use generative AI and semantic layer to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Advanced Data & AI team brings together ourExperienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems.

• You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.

• You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).

• As needed by the specific problem, you design, evaluate, and maintain ontologies.

• As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value.

• You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work:

• Build Knowledge Graph solutions that transform clients’ data architecture.

• Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly

• Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies

• Develop strong relationships with clients and gain the trust of key advisors

• Make the business case for the semantic layer solution recommended to the client

• Pitch in on Accenture sales efforts when needed

• Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns.

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 experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required.

• Minimum of 1 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration

• Minimum of 2 year and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases

• Minimum of 2 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)

• Minimum of 5 years of hands-on experience with cloud platforms (AWS, Azure, GCP)

• Minimum of 5 years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)

• Minimum of 2 years of practical experience with NLP techniques, prompt engineering, and LLMs for enterprise-scale applications.

• Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation.

Bonus Points If:

• You have team lead experience

• Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.

• You have external client-facing consulting experience

• Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

• Broad experience in diverse ML techniques and agentic systems.

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 accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here.

Role Location Annual Salary Range

California $73,800 to $220,400

Cleveland $68,300 to $176,300

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Maryland $73,800 to $190,400

Massachusetts $73,800 to $202,700

Minnesota $73,800 to $190,400

New York/New Jersey $68,300 to $220,400

Washington $78,500 to $202,700

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

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## Qualifications
* Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast‑paced environments
* Are comfortable using emerging technologies (i.e
* Codex, ChatGPT, OpenAI API, etc.)
* Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you’re missing to make both your team and our customers succeed
* Have high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization
* For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information
## Responsibilities
* We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post‑AGI support team with us
* In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team
* You’ll partner closely with cross‑functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience
* Your work will bring us toward industry‑leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space
* You will be crucial to the success of the most innovative, disruptive, and high‑scale AI solutions being built with OpenAI
* Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms
* Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer
* Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues
* Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes
* Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go‑To‑Market teams
* Orchestrate agentic improvements to our operations that will level‑up our entire team
* Foster a supportive and productive work culture within the User Operations team
* Provide support coverage in on‑call shifts and during holidays and weekends based on business needs
* to script or engineer code (e.g., Python or similar) for automating repetitive tasks and integrating tools
* Have expert‑level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts
* Naturally question established norms, skillfully identify root causes, and proactively drive innovation and process improvements
* Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry
* Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth
* Have proven experience building strong relationships with customers and cross‑functionally to drive resolution to complex issues

## Full Description
OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post‑AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early‑stage startups to established global enterprises.

About the Role

We are looking for dedicated, experienced, and passionate individuals to help solve some of the most difficult problems faced by our customers and build our post‑AGI support team with us. In this role, you will interact directly with customers through support tickets and Slack messages, troubleshooting complex issues and resolving novel, often undefined technical problems while setting a positive precedent for the rest of the team. You’ll partner closely with cross‑functional teams to drive initiatives that reduce bugs, improve features, and build the systems that elevate our customer experience. Your work will bring us toward industry‑leading response times and service levels, while strengthening our internal customer feedback operations in an increasingly intricate space. You will help scale our support organization by improving operational processes and leveraging our own technology to build the next version of the support team in the new AI world. You will be crucial to the success of the most innovative, disruptive, and high‑scale AI solutions being built with OpenAI.

If you thrive in environments that value impact, collaboration, and fast‑paced problem‑solving, you might be the perfect fit for our team.

We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

You’ll be responsible for:

• Work directly with customers, solving their most complex problems and providing ownership and education on the use of our platforms.

• Be among the foremost experts on everything related to OpenAI products, even where our AI does not have the answer.

• Be among the last line of defense before our core Product and Engineering teams, and partner with engineering and customer teams to resolve issues.

• Use scripting and emerging AI capabilities to improve internal tooling and automate recurring processes.

• Take learnings from resolving customer issues and create our approach to scaling these solutions, partnering with product and Go‑To‑Market teams.

• Orchestrate agentic improvements to our operations that will level‑up our entire team.

• Foster a supportive and productive work culture within the User Operations team.

• Provide support coverage in on‑call shifts and during holidays and weekends based on business needs.

You might thrive in this role if you have:

• Have 8+ years of experience in user operations, technical support, or support engineering roles, ideally within tech startups or fast‑paced environments.

• Are comfortable using emerging technologies (i.e. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python or similar) for automating repetitive tasks and integrating tools.

• Have expert‑level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts.

• Naturally question established norms, skillfully identify root causes, and proactively drive innovation and process improvements.

• Are among the very best critical thinkers, problem solvers, and communicators of complex technical issues in the industry.

• Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth.

• Have proven experience building strong relationships with customers and cross‑functionally to drive resolution to complex issues.

• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you’re missing to make both your team and our customers succeed.

• Have high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership and prioritization.

Preferred: Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

#J-18808-Ljbffr



## Qualifications
* A Mid-Level to Upper Mid-Level Full-Stack Engineer (NOT junior, NOT senior, NOT a manager)
* 5–8 years of hands-on IC engineering experience
* focused only on APIs or infrastructure
* Hands-on experience with user-facing products, experimentation, UI + backend
* Preferably 2–5+ years at a VC-backed SaaS or product company
* People Who Have Worked in the USA Long Enough
* “only 1 year of USA experience”
* “limited experience in USA”
* 2+ years of full-time work experience at US tech companies
* being from massive corporations
* lacking product-centric work
* not having customer-facing ownership
* agency background
* freelance for 16 years
* consulting instead of building internal products
* Full-time ICs who shipped and owned a product roadmap
* A 5–8 year full-stack engineer who has:
* Experience at high-growth startups (not big enterprise)
* Strong product sense + customer-facing feature experience
* Solid backend + frontend balance
* Full-time IC roles (not agency, not freelance, not consulting)
* 2+ years working at US tech companies
* They want a mid-level full-stack product engineer with real startup experience, US work history, and hands-on feature-building—not infra, not SRE, not enterprise, not freelancers, and not managers
* 5-7 years of full-stack software engineering experience and you can build products end-to-end (frontend + backend)
* Bonus: fluency in NextJS + React + Typescript stack, comfortable making UX decisions
* 1-2 years of proven experience building and shipping user-facing LLM products
* Bonus: you have iterated on a product through evals & CI/CD
* Ability to thrive in a fast-paced environment, startup experience
* Excellent communication skills (oral & written)
* Bonus: also excellent at communicating with AI (prompting)
* Front-end: Typescript, React, Next.js
## Benefits
* Learn an insane amount about the nuts & bolts of clean energy finance
## Responsibilities
* Full-stack engineers who build customer-facing features
* You won’t just be building features — you’ll be co-designing the processes and systems that define how we ship high-quality AI products at Crux
* Collaborate directly with customers
* Build products from 0 -> 1
* Pick the tools & frameworks we use

## Full Description
Please dont apply unless you fit below.

What This Client Is Actually Looking For1. A Mid-Level to Upper Mid-Level Full-Stack Engineer (NOT junior, NOT senior, NOT a manager)

They repeatedly reject:

• “too junior”

• “too senior”

• “director level”

• “management-focused vs IC”

Target level:

5–8 years of hands-on IC engineering experience

Not junior, not leadership, not executive

2. True Full-Stack, Product-Centric Engineers

They reject candidates who are:

• too frontend

• too backend

• too cloud/SRE/DevOps

• focused only on APIs or infrastructure

• not product/feature-focused

They want:

Full-stack engineers who build customer-facing features

Hands-on experience with user-facing products, experimentation, UI + backend

3. Strong Startup Experience (High-Growth, SaaS, Product-Led)

They consistently reject:

• big company engineers

• agency contractors

• freelancers

• consultants

• people who work “for others” instead of inside a product org

• people without startup experience

They want:

Engineers who have built software inside a high-growth tech startup

Preferably 2–5+ years at a VC-backed SaaS or product company

4. People Who Have Worked in the USA Long Enough

They reject:

• “only 1 year of USA experience”

• “limited experience in USA”

They prefer:

2+ years of full-time work experience at US tech companies

5. Not Too Corporate, Not Too Enterprise

Rejected for:

• being from massive corporations

• lacking product-centric work

• not having customer-facing ownership

They want:

Engineers used to startup environments where you ship quickly, own features, and iterate.

6. Solid Internal Product Engineering — Not Agencies, Not Contractors

Rejected for:

• agency background

• freelance for 16 years

• consulting instead of building internal products

They want:

Full-time ICs who shipped and owned a product roadmap.

Summary: The Ideal Candidate Profile

A 5–8 year full-stack engineer who has:

Experience at high-growth startups (not big enterprise)

Strong product sense + customer-facing feature experience

Solid backend + frontend balance

Full-time IC roles (not agency, not freelance, not consulting)

Built internal tools, platforms, AND external user features

2+ years working at US tech companies

No over-seniority or management-heavy roles

One-Sentence Summary

They want a mid-level full-stack product engineer with real startup experience, US work history, and hands-on feature-building—not infra, not SRE, not enterprise, not freelancers, and not managers.

The Role

The traditional process for financing clean energy is manual, opaque, and slow. We’ve built products that solve part of that problem — now we’re expanding their breadth and depth with AI. We’re hiring our first AI Product Engineer to work hand-in-hand with customers, product, commercial, and legal teams to reimagine the way transactions happen in clean energy finance, starting with diligence.

You won’t just be building features — you’ll be co-designing the processes and systems that define how we ship high-quality AI products at Crux.

Much of this framework doesn’t exist yet — and you’ll help invent it using first principles.

What you'll do

Collaborate directly with customers

Build products from 0 -> 1

Pick the tools & frameworks we use

Learn an insane amount about the nuts & bolts of clean energy finance

Raise the bar for our engineering culture

Skills

1) 5-7 years of full-stack software engineering experience and you can build products end-to-end (frontend + backend)

Bonus: fluency in NextJS + React + Typescript stack, comfortable making UX decisions

2) 1-2 years of proven experience building and shipping user-facing LLM products

Bonus: you have iterated on a product through evals & CI/CD

3) Ability to thrive in a fast-paced environment, startup experience

4) Excellent communication skills (oral & written)

Bonus: also excellent at communicating with AI (prompting)

• Front-end: Typescript, React, Next.js

• Back-end: Supabase, Postgres

Employment Type: FULL_TIME



## Qualifications
* 12+ years of leadership experience in product management and technology
* 15+ years general experience in Technology/Product Management
* Deep understanding of AI technologies and trends, focused on education technology
## Responsibilities
* Develop a strategy for generative AI across education products
* Enhance learning outcomes and personalize experiences using AI technologies
* Build an AI innovation roadmap for Higher Ed, School, and Work businesses
* Conduct financial analysis to assess cost-benefit and ROI of implementing generative AI

## Full Description
Key Responsibilities

• Develop a strategy for generative AI across education products.

• Enhance learning outcomes and personalize experiences using AI technologies.

• Build an AI innovation roadmap for Higher Ed, School, and Work businesses.

• Conduct financial analysis to assess cost-benefit and ROI of implementing generative AI.

Requirements

• 12+ years of leadership experience in product management and technology.

• 15+ years general experience in Technology/Product Management.

• Deep understanding of AI technologies and trends, focused on education technology.




## Full Description
Edge Performance Engineer - AI

Location:

Remote - Canada or Greater Toronto Area

A leading innovator in edge-based AI solutions is seeking a highly skilled Edge Performance Engineer to join their growing team. This cutting-edge role is at the intersection of hardware and AI, focusing on the optimization of GPU-accelerated vision pipelines running at the edge. This is a rare opportunity to influence the design and deployment of real-time computer vision systems across industrial and automation environments, with the support of a well-funded and visionary organization.

In this position, you'll take full ownership of the edge system performance lifecycle, from profiling and model optimization to system integration and observability. You'll work cross-functionally with machine learning, DevOps, and cloud engineering teams to ensure consistent, high-throughput inference at the edge. The ideal candidate thrives in resource-constrained environments and enjoys solving complex system-level challenges involving hardware acceleration, system bottlenecks, and runtime tuning.

Key Responsibilities

• Optimize performance of GPU-accelerated computer vision pipelines on edge hardware (e.g., NVIDIA Jetson, x86/ARM systems).

• Improve throughput and reduce latency through advanced model optimization techniques (e.g., quantization, TensorRT, ONNX Runtime).

• Profile and resolve system-level constraints across CPU, GPU, memory, storage, and network layers.

• Collaborate with machine learning teams to deploy robust models that meet real-world resource constraints.

• Integrate edge systems with observability and orchestration frameworks to ensure maintainability and scale.

• Develop dashboards and tools to monitor edge performance KPIs like frame rate, latency, uptime, and resource usage.

• Participate in root cause investigations for performance-related incidents on production systems.

• Provide technical input on system design and hardware selection for new edge deployments.

What You'll Bring

• 5+ years of experience in software engineering with a focus on high-performance or real-time systems.

• Strong background in GPU-accelerated development using CUDA, TensorRT, cuDNN, or equivalent vendor tools.

• Proficiency in Python and at least one systems language such as C++ or Rust.

• Proven experience in deploying and optimizing deep learning inference pipelines in production environments.

• Advanced Linux skills and comfort using observability tools (e.g., perf, strace, eBPF).

• Experience working with Docker and CI/CD workflows targeting edge devices.

• Deep debugging capabilities across application, system, and hardware levels.

Preferred Qualifications

• Background in edge AI, robotics, or industrial automation applications.

• Familiarity with video processing frameworks (e.g., GStreamer).

• Understanding of edge-specific challenges such as thermal throttling, intermittent connectivity, and limited bandwidth.

• Exposure to Kubernetes or other edge orchestration frameworks.

Why Join

• Work at the forefront of AI and computer vision innovation.

• Solve tangible, high-impact problems in real-world deployments.

• Join a mission-driven team with strong technical leadership and cross-functional collaboration.

• Enjoy a flexible, remote-first work culture with top-tier talent across Canada and beyond.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at 46Gs4yS




## Full Description
About WorldGuide AI

WorldGuide AI is developing a platform designed to simplify personalized travel planning. Our goal is to create a unified tool that allows travelers to manage itineraries, bookings, and collaboration efficiently. We are a small, focused team building the foundational technology for our web and mobile applications.

The Opportunity

We are seeking a highly motivated Software Developer Intern to join our core engineering team for a part-time or full-time internship. This is a hands-on role where you will work directly alongside experienced engineers, contributing to the development of our core product features. You will be instrumental in implementing key integrations with external travel services and building relevant user-facing components.

What You'll Do

As a key member of our small team, you will focus on core software engineering tasks:

• Feature Development:

Implement new travel service integrations and relevant user-facing components.

• Engineering Lifecycle:

Participate actively in the full software development lifecycle-from writing initial code and reviewing specifications to testing and deployment.

• Debugging & Testing:

Collaborate on identifying, debugging, and resolving software defects to ensure application stability and reliability.

• API Integration:

Assist in consuming and integrating external APIs for necessary travel-related data services.

• Code Quality:

Contribute to maintaining a clean, well-tested, and documented codebase.

What We're Looking For (Required Qualifications)

• Academic:

Currently pursuing a post-graduate program in Computer Science, Software Engineering, or a related field

• Fundamentals:

A strong grasp of computer science principles, including Data Structures and Algorithms

• Core Technology:

Proven professional or project experience with JavaScript/TypeScript.

• Web Knowledge:

Understanding of how to build or interact with REST APIs.

• Communication:

Strong verbal and written communication skills and a dedicated, collaborative approach to learning and problem-solving.

Why Join WorldGuide AI?

• Foundational Impact:

You will work on core, visible components of a product that is currently being built.

• Direct Mentorship:

Benefit from direct guidance and a steep learning curve working closely with experienced developers.

• Agile Environment:

Experience the focused, fast-paced environment of a startup in its earliest stages.

• Flexibility:

This is a remote position open to candidates located anywhere in Canada.




## Full Description
Alberta Blue Cross is an Alberta based organization dedicated to delivering exceptional customer experience and community leadership. We’re committed to providing the best health coverage to over 1.8 million members and take an active role in promoting wellness. We believe in what we do—and place trust in our employees to deliver our vision.Working at Alberta Blue Cross means having a career whereyou’ll be recognized for your contributions. We value diversity, encourage our team members to maintain a healthy work-life balance and provide opportunities for career growth.**OVERVIEW:**We are looking for a strategic and collaborative Manager, AI Governance to lead the development and implementation of our AI governance practices. This role plays a pivotal part in fostering trust in our AI assets by ensuring they are responsibly developed and effectively governed. This role is central to aligning AI initiatives with our corporate objectives, organizational values, and regulatory requirements.The successful candidate will be responsible for designing and operationalizing AI governance frameworks, policies, and tools that enable the secure, compliant, and value-driven use of AI and machine learning. In addition to governance leadership, this role leads stakeholder engagement through the AI Centre of Excellence and champions continuous learning and cross-functional collaboration to enhance AI literacy and drive responsible adoption across the organization. The Manager, AI Governance, serves as a strategic partner to data, technology, legal, security, and business teams, ensuring our AI systems reflect our commitment to ethical innovation and responsible technology leadership.**WHAT YOU WILL DO:*** Establish and Operationalize AI Governance Frameworks – Develop and maintain comprehensive governance frameworks, including policies, procedures, and best practices that promote the ethical, responsible, and compliant use of AI technologies.* Integrate Governance Across the AI Lifecycle – Collaborate with cross-functional teams to embed governance practices throughout the AI development and deployment lifecycle, ensuring consistency and accountability.* Ensure Regulatory and Ethical Compliance – Partner with legal, privacy, and risk teams to ensure AI systems meet applicable laws, regulations, and ethical standards.* Monitor and Report on Governance Performance – Prepare and deliver regular updates to senior leadership on the status of AI governance initiatives, including performance metrics, compliance status, and risk management activities.* Support Audits and Assessments – Facilitate regular reviews of AI systems and initiatives to validate adherence to governance standards and address any gaps or ethical concerns.* Maintain Governance Documentation and Asset Inventory – Oversee the creation and ongoing management of governance documentation, including policies, standards, and a centralized inventory of AI initiatives and assets.* Serve as a Governance and Compliance Liaison – Act as the primary point of contact for internal and external stakeholders on matters related to AI governance, compliance, and responsible use.* Facilitate the AI Center of Excellence – Lead the coordination of the AI Center of Excellence, fostering collaboration across a community of AI practitioners to drive strategic adoption and measurable business impact.* Engage with External Partners and Industry Leaders – Build and maintain relationships with academic institutions, industry bodies, and regulatory organizations to stay informed on emerging trends, evolving governance frameworks, and best practices in AI.* Anticipate and Address Emerging AI Risks and Opportunities – Stay ahead of evolving AI trends, technologies, and risks. Proactively assess implications and coordinate with accountable teams to define governance responses and policy positions.* Champion Responsible Enablement of AI Innovation – Balance governance and compliance with enablement by partnering with Learning & Development on AI literacy and evangelism, and across the enterprise to ensure governance frameworks support responsible experimentation, scalable deployment, and business value realization.**WHAT YOU WILL HAVE:*** A degree in a relevant field such as Information Management, Computer Science, Information Technology, Law, Business, or an equivalent combination of education and experience.* Five years plus experience in AI Governance or related fields, ideally within complex or regulated environments.* Proven ability to lead enterprise-level initiatives, with a strong track record of aligning governance strategies to business objectives and driving measurable outcomes.* Demonstrated experience in designing and operationalizing governance policies, procedures, and tools that support compliance, transparency, and value creation.* Strong understanding of AI/ML technologies, governance frameworks, regulatory requirements, and ethical considerations related to responsible AI use.* Strong communication and relationship-building skills, with the ability to influence and collaborate across technical, business, legal, and compliance teams.* Familiarity with global and industry-specific regulations, standards, and best practices related to AI, data privacy, and digital ethics.* Excellent leadership, communication, and stakeholder engagement skills, with the ability to influence across business and technical teams.* Leadership experience, encompassing building out new corporate functions and teams from scratch.* Demonstrated ability to stay current with industry trends, emerging technologies, and best practices.* Proactively seeks out opportunities for professional development through courses, certifications, conferences, or self-directed learning.* Leadership experience in establishing and scaling new corporate functions and teams from the ground up.This position will remain open until January 9, 2026.Alberta Blue Cross is an inclusive employer committed to a workplace that reflects the diversity of the communities we serve. We empower and are advocates for our team members by welcoming, respecting and valuing their unique perspectives, backgrounds, and experiences.We offer the opportunity to work in an innovative, high-energy team-focused environment. If you have the qualifications we are looking for, apply online atWe believe in what we do—and place trust in our employees to deliver our vision./* The Blue Cross symbol and name are registered marks of the Canadian Association of Blue Cross Plans, an association of independent Blue Cross plans. Licensed to ABC Benefits Corporation for use in operating the Alberta Blue Cross Plan. † Blue Shield is a registered trade-mark of the Blue Cross Blue Shield Association.Alberta Blue Cross is an Alberta based not-for-profit, dedicated to delivering exceptional customer experience and community leadership. We are committed to providing the best health coverage to over 1.8 million members and take an active role in promoting the wellness of all Albertans.

#J-18808-Ljbffr



Ml Ops Specialist, Ai/ml

Full Description