## Qualifications
* Ship secure, reliable features using React / Next.js and Node.js
* Deep full-stack experience (TypeScript, React, Node)
* Familiarity with cloud infrastructure (AWS / Azure / GCP) and Docker / K8s
* Strong grasp of API design, security, and performance optimization
* Bonus points for: AI/ML exposure, DevOps/IaC, or startup experience
## Responsibilities
* Design, build, and scale full-stack systems in TypeScript
* Own performance, observability, and quality from idea → production
* Help shape engineering culture through code reviews and knowledge-sharing

## Full Description
🚀 Senior Full-Stack Engineer

📍 Cambridge, MA 💼 Full-time 🕒 Start: ASAP 💰 Competitive Salary + Equity

Join a fast-growing startup at the intersection of AI and systems optimization, building intelligent, data-driven products that make a real impact.

What you’ll do

• Design, build, and scale full-stack systems in TypeScript

• Ship secure, reliable features using React / Next.js and Node.js

•Own performance, observability, and quality from idea → production

• Help shape engineering culture through code reviews and knowledge-sharing

What you bring

• Deep full-stack experience (TypeScript, React, Node)

• Familiarity with cloud infrastructure (AWS / Azure / GCP) and Docker / K8s

• Strong grasp of API design, security, and performance optimization

• Bonus points for: AI/ML exposure, DevOps/IaC, or startup experience



## Qualifications
* BS or MS degree in Computer Science or a related field is required, with a strong academic background
* 6+ years of relevant software development experience, with a focus on backend and data-centric applications
* Proficient in Java, Python, or similar object-oriented languages
* Expertise in web front-end technologies such as React, Preact, Ruby, Ruby on Rails, JavaScript, Oracle JET, etc
* Strong software engineering fundamentals, including expertise in data structures, algorithms, RESTful services, and microservices architecture
* Hands-on experience with cloud-native development on major cloud platforms (OCI, Azure, GCP, AWS) is essential
* In-depth knowledge of data architecture, including database design, data modeling, analytics, metadata management, and data-access controls
* Proficiency in Oracle Database and search technologies such as Opensearch, Pinecone, and Oracle Golden Gate Replication
* Experience with data pipeline orchestration using tools like Kafka, Flink, and RabbitMQ
* Understanding of system design and distributed systems architecture best practices
* Familiarity with cloud engineering infrastructure and containerization (Kubernetes, Docker)
* Excellent communication skills for conveying complex technical concepts to both technical and non-technical stakeholders
* Demonstrated technical leadership and a passion for mentoring junior team members
* Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates
## Benefits
* Enjoy a collaborative and dynamic team environment that values innovation and creativity
* Competitive compensation and benefits package, including professional development opportunities
* Make a meaningful impact on the lives of patients and healthcare providers worldwide
* US: Hiring Range in USD from: $96,800 to $223,400 per annum
* May be eligible for bonus and equity
* Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business
* Oracle US offers a comprehensive benefits package which includes the following:
* Medical, dental, and vision insurance, including expert medical opinion
* Short term disability and long term disability
* Life insurance and AD&D
* Supplemental life insurance (Employee/Spouse/Child)
* Health care and dependent care Flexible Spending Accounts
* Pre-tax commuter and parking benefits
* 401(k) Savings and Investment Plan with company match
* Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position
* Accrued Vacation is provided to all other employees eligible for vacation benefits
* For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment
* Vacation accrual is prorated for employees working between 20 and 34 hours per week
* Employees working fewer than 20 hours per week are not eligible for vacation
* 11 paid holidays
* Paid sick leave: 72 hours of paid sick leave upon date of hire
* Refreshes each calendar year
* Unused balance will carry over each year up to a maximum cap of 112 hours
* Paid parental leave
* Adoption assistance
* Employee Stock Purchase Plan
* Financial planning and group legal
* Voluntary benefits including auto, homeowner and pet insurance
* We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options
## Responsibilities
* Your expertise in data platform engineering will drive the creation of a robust and intelligent system, enhancing the healthcare experience for patients and clinicians alike
* Lead the design and implementation of the CDA data platform, ensuring it is scalable, secure, and optimized for AI-driven applications
* Collaborate closely with the CDA team, including AI researchers, software developers, and healthcare domain experts, to define and refine the platform's architecture
* Implement data modeling and database design to support complex healthcare data structures and relationships
* Integrate search technologies and natural language processing (NLP) capabilities to enable conversational search, semantic search, and summarization features
* Build and optimize data pipelines using ETL/ELT processes and tools like Kafka, Flink, and RabbitMQ for efficient data flow
* Ensure data security and privacy by implementing access controls, encryption, and compliance with healthcare regulations
* Mentor and guide junior engineers, fostering a culture of knowledge-sharing and technical excellence
* Stay updated with the latest advancements in cloud-native AI/ML technologies and propose innovative solutions to enhance the CDA platform

## Full Description
Job Description

As a Principal Member of Technical Staff, you will be a key contributor to the development and success of our next-generation CDA platform, which leverages the power of generative AI and cloud-native technologies. Your expertise in data platform engineering will drive the creation of a robust and intelligent system, enhancing the healthcare experience for patients and clinicians alike.

Responsibilities

Responsibilities:

• Lead the design and implementation of the CDA data platform, ensuring it is scalable, secure, and optimized for AI-driven applications.

• Collaborate closely with the CDA team, including AI researchers, software developers, and healthcare domain experts, to define and refine the platform's architecture.

• Implement data modeling and database design to support complex healthcare data structures and relationships.

• Integrate search technologies and natural language processing (NLP) capabilities to enable conversational search, semantic search, and summarization features.

• Build and optimize data pipelines using ETL/ELT processes and tools like Kafka, Flink, and RabbitMQ for efficient data flow.

• Ensure data security and privacy by implementing access controls, encryption, and compliance with healthcare regulations.

• Mentor and guide junior engineers, fostering a culture of knowledge-sharing and technical excellence.

• Stay updated with the latest advancements in cloud-native AI/ML technologies and propose innovative solutions to enhance the CDA platform.

Qualifications:

• BS or MS degree in Computer Science or a related field is required, with a strong academic background.

• 6+ years of relevant software development experience, with a focus on backend and data-centric applications.

• Proficient in Java, Python, or similar object-oriented languages

• Expertise in web front-end technologies such as React, Preact, Ruby, Ruby on Rails, JavaScript, Oracle JET, etc.

• Strong software engineering fundamentals, including expertise in data structures, algorithms, RESTful services, and microservices architecture.

• Hands-on experience with cloud-native development on major cloud platforms (OCI, Azure, GCP, AWS) is essential.

• In-depth knowledge of data architecture, including database design, data modeling, analytics, metadata management, and data-access controls.

• Proficiency in Oracle Database and search technologies such as Opensearch, Pinecone, and Oracle Golden Gate Replication.

• Experience with data pipeline orchestration using tools like Kafka, Flink, and RabbitMQ.

• Understanding of system design and distributed systems architecture best practices.

• Familiarity with cloud engineering infrastructure and containerization (Kubernetes, Docker).

• Excellent communication skills for conveying complex technical concepts to both technical and non-technical stakeholders.

• Demonstrated technical leadership and a passion for mentoring junior team members.

Why Oracle Health?

• Be part of a groundbreaking initiative to modernize and automate patient-centric healthcare globally.

• Work with cutting-edge AI and cloud technologies, pushing the boundaries of what's possible in healthcare.

• Enjoy a collaborative and dynamic team environment that values innovation and creativity.

• Competitive compensation and benefits package, including professional development opportunities.

• Make a meaningful impact on the lives of patients and healthcare providers worldwide.

If you possess the required qualifications and are excited to contribute to the future of healthcare technology, we encourage you to apply. Please submit your updated resume Let’s discuss how you can help us transform the healthcare industry through the power of AI and innovative data platform engineering!

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

• Medical, dental, and vision insurance, including expert medical opinion

• Short term disability and long term disability

• Life insurance and AD&D

• Supplemental life insurance (Employee/Spouse/Child)

• Health care and dependent care Flexible Spending Accounts

• Pre-tax commuter and parking benefits

• 401(k) Savings and Investment Plan with company match

• Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

• 11 paid holidays

• Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

• Paid parental leave

• Adoption assistance

• Employee Stock Purchase Plan

• Financial planning and group legal

• Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.




## Full Description
Data Scientist | Python | Machine Learning | SQL | Large Language Models | Hybrid, London

Our Mission

We’re on a mission to help blue-collar parts businesses grow and scale. These are the companies that keep the world running — powering the food we eat, the cars we drive, and the buildings we live in.

Historically, these businesses have been overlooked by the tech world, relying on outdated systems that make it hard to use their data effectively. Their information is often fragmented, unstructured, and inaccessible — meaning they can’t make the data-driven decisions that fuel modern growth.

With the rise of Large Language Models (LLMs), it’s now possible to bring this data together and make it understandable and actionable for non-technical users. Our team is leveraging these breakthroughs to empower every blue-collar business to grow with data.

We’re VC-backed by leading investors with a track record of supporting some of the world’s most successful startups.

The Role

We’re hiring a Research Data Scientist to join us at an exciting early stage. You’ll play a pivotal role in turning messy, real-world industry data into AI-driven insights and intelligent products.

Our customers operate in industries that have been underserved by modern software for decades. Their data is fragmented, incomplete, and complex — you’ll bring scientific rigor, creativity, and experimentation to make sense of it, test hypotheses, and build models that deliver measurable business impact.

This is a blend of data exploration, applied ML, and LLM experimentation. You’ll design and run experiments, validate ideas with real-world data, and collaborate closely with engineers to turn research into production-ready systems.

Key challenges you’ll help tackle:

• Transform large, messy datasets from legacy systems into structured, usable formats

• Design, run, and evaluate experiments using rigorous statistical methods

• Prototype ML models for forecasting, optimization, and recommendation across sales, inventory, and operations

• Explore and fine-tune LLMs for practical use cases within industry workflows

• Partner with engineers to take research from proof-of-concept to scalable production systems

• Build a culture of experimentation — documenting results, sharing learnings, and influencing product direction through data

You’ll work alongside experienced engineers and founders who are passionate about the intersection of AI, data, and real-world impact. This is your chance to shape the foundation of an AI platform for underserved industries — from raw data to tangible outcomes.

About You

• You see data as the engine for innovation — using it to uncover insights that drive business value

• You bring a scientific mindset (Bachelor’s/Master’s/PhD in a quantitative discipline) with strong experimental and statistical reasoning

• 2+ years of hands-on experience in data science, ML engineering, or applied research

• Skilled at designing and evaluating experiments with proper baselines, controls, and metrics

• Excited to explore and apply LLMs in practical, business-focused contexts

• Thrive in a fast-moving, iterative environment where research rapidly turns into real-world applications

• No domain expertise required — curiosity and adaptability are key

Technical skillset:

• Must-have: Python, data science/ML libraries (pandas, NumPy, scikit-learn, XGBoost, PyTorch, Hugging Face), experiment design, evaluation metrics

• Nice-to-have: LLM fine-tuning, prompt engineering, SQL/PostgreSQL

How We Work

• We live for our customers — aiming to be the most reliable, highest-ROI product they’ve ever used

• We move fast and stay focused on real-world results

• We tie every tech metric directly to user impact

• We’re open, collaborative, and challenge ideas — not people

• We take ownership — “that’s not my job” isn’t in our vocabulary

• We’re bold — transforming how an entire industry works isn’t easy, but we’re here for it

• We care deeply about our team and your growth — this should be the most enjoyable and impactful chapter of your career

Data Scientist | Python | Machine Learning | SQL | Large Language Models | Hybrid, London



## Qualifications
* 6–8 years in AI/ML development, with hands-on Azure AI Foundry experience
* Strong programming skills in Python, C#, or equivalent
* Experience with LLMs, prompt design, and AI integration
* Proficiency with Azure DevOps, Azure Machine Learning, and Cognitive Services
* Agile teamwork, problem-solving, and CI/CD pipeline experience
## Responsibilities
* Work with large language models, design AI pipelines, and integrate innovative AI/ML applications across business-critical systems
* Enjoy collaboration with stakeholders, exposure to frontier AI models, and the chance to implement responsible AI practices
* Develop, fine-tune, and deploy AI models using Azure AI Foundry, including open-source and partner models (OpenAI, Hugging Face)
* Design scalable, performant AI pipelines and integrate models with enterprise applications
* Implement prompt engineering and techniques for optimal model performance
* Collaborate with business stakeholders to translate requirements into AI solutions
* Apply DevOps best practices, using Azure DevOps, Git, and CI/CD pipelines
* Ensure adherence to responsible AI standards throughout the AI lifecycle

## Full Description
Azure AI Architect – Python, C# | AI/ML & Azure Foundry

Why You’ll Love This Role

Join a cutting-edge AI team building and deploying enterprise AI solutions on Azure. Work with large language models, design AI pipelines, and integrate innovative AI/ML applications across business-critical systems. Enjoy collaboration with stakeholders, exposure to frontier AI models, and the chance to implement responsible AI practices.

What You’ll Do

• Develop, fine-tune, and deploy AI models using Azure AI Foundry, including open-source and partner models (OpenAI, Hugging Face).

• Design scalable, performant AI pipelines and integrate models with enterprise applications.

• Implement prompt engineering and techniques for optimal model performance.

• Collaborate with business stakeholders to translate requirements into AI solutions.

• Apply DevOps best practices, using Azure DevOps, Git, and CI/CD pipelines.

• Ensure adherence to responsible AI standards throughout the AI lifecycle.

What You’ll Bring

• 6–8 years in AI/ML development, with hands-on Azure AI Foundry experience.

• Strong programming skills in Python, C#, or equivalent.

• Experience with LLMs, prompt design, and AI integration.

• Proficiency with Azure DevOps, Azure Machine Learning, and Cognitive Services.

• Agile teamwork, problem-solving, and CI/CD pipeline experience.

Employment Type: FULL_TIME




## Full Description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling

customers of all sizes to innovate and expand in the cloud. Our team empowers

every customer to grow by providing tailored service, unmatched technology,

and unwavering support. We dive deep to understand each customer's unique

challenges, then craft innovative solutions that accelerate their success.

This customer-first approach is how we built the world's most adopted cloud.

Join us and help us grow.

The Role

The Amazon Web Services (AWS) Senior Applied AI Architect partners with

customers to design and build some of the most scalable, flexible and

resilient cloud architectures and solutions. AWS Applied AI Architects

collaborate with AWS Sales and other AWS teams to help address customer

business challenges and accelerate the adoption of AWS services.

As a trusted customer advocate, Applied AI Architects help organizations

understand best practices around advanced cloud-based solutions, and provide

advice on strategies for for building, migrating, and scaling generative AI &

ML workloads in the cloud. You’ll help drive successful business outcomes

across a broad set of enterprise customers through your passion for educating,

training, designing and building cloud solutions.

As a Senior Applied AI Architect, you will use ML and Generative AI tools,

such as Amazon SageMaker, Amazon Bedrock, Amazon Q and other technologies to

design, evangelize, and implement state-of-the-art solutions for never-before-

solved problems. You’ll help drive successful business outcomes across a broad

set of customers through your passion for educating, training, designing and

building cloud hosted Generative AI solutions.

You will design and develop generative AI industry solutions that involves

large-scale data processing and modeling. You will have responsibility to help

define requirements, create solution designs, implement code to these

specifications, and support solutions while deployed and used by our industry

customers. You will have the opportunity to help shape and execute a strategy

to build deep adoption and broad use of AWS within your customers, and you

will do this by mobilizing resources within AWS and working with our extensive

partner network.

Travel is mostly regional, and is expected to be 15-20%.

Key job responsibilities

- Ensure success in designing, building and migrating applications, software,

and services on the AWS platform.

- Interact with customers directly to understand the business problem, help

and aid them in implementation of their AI/ML ecosystem

- Educate customers on the value proposition of AWS and showcase the art of

possible.

- Participate in deep architectural discussions and design exercises to

create world-class solutions built on AWS while ensuring solutions are

designed for successful deployment in the cloud.

- Author and contribute to AWS customer-facing publications such as

whitepapers, workshops, demos and proof of concepts.

- Build deep relationships with senior technical individuals within customers

to enable them to be cloud advocates.

- Capture and share best-practice knowledge amongst the AWS Architect

community.

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 specific technology domain areas (e.g. software development,

cloud computing, systems engineering, infrastructure, security, networking,

data & analytics) experience

- 3+ years of design, implementation, or consulting in applications and

infrastructures experience

- 7+ years of IT development or implementation/consulting in the software or

Internet industries experience

- Hands on experience architecting and deploying full stack generative AI

workloads to production systems.

## Preferred Qualifications

- Experience optimizing production generative AI or Hybrid AI workloads for

optimal cost, latency, and/or resilience

- PhD in Computer Science with specialization in Machine Learning, Deep

Learning, or Natural Language Processing - or - Masters in Computer Science

with strong AI/ML focus

- Knowledge of large scale automation and workflow management or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis

of protected veteran status, disability, or other legally protected status.

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

for more

information. If the country/region you’re applying in isn’t listed, please

contact your Recruiting Partner.

The base salary for this position ranges from $126,000/year up to

$210,400/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external

career site.




## Full Description
Indeed Job Post: N8N Specialist / Developer — In-Person (Dubai, UAE)

Company: ARCH Design Concept DMCC

Location: Dubai, United Arab Emirates, JLT

Job Type: Full-time, On-site

About the Role

We are seeking an experienced N8N Specialist and Full Stack Developer for our AI Automation Consultancy division to join our dynamic team in Dubai. This is a hands-on, in-person position for someone passionate about automation, workflow integration, and scalable system development.

You’ll be responsible for designing, building, and maintaining advanced N8N workflows, API integrations, and internal automations to streamline our business operations.

Key Responsibilities

• Design and implement automation workflows using N8N.

• Integrate APIs, CRMs, and databases with N8N and other tools.

• Troubleshoot and optimize existing automation workflows.

• Develop custom nodes, scripts, and integrations as needed.

• Collaborate with internal teams to automate repetitive business processes.

• Maintain documentation and ensure system reliability and scalability.

Required Experience & Skills

• 2+ years of experience with N8N, Zapier, or similar workflow automation tools.

• Strong knowledge of JavaScript/TypeScript and Node.js.

• Experience with REST APIs, webhooks, and OAuth integrations.

• Familiarity with Databases (MySQL, MongoDB, PostgreSQL).

• Understanding of Docker, Git, and CI/CD pipelines.

• Strong problem-solving and debugging skills.

• Excellent communication and teamwork abilities.

Bonus Points For:

• Experience deploying N8N in self-hosted environments.

• Familiarity with cloud services (AWS, GCP, or Azure).

• Knowledge of CRM, ERP, or marketing automation platforms.

Location & Work Type

• In-person role at our Dubai office (no remote option).

• Candidates must be based in Dubai or willing to relocate.

Application Questions

Applicants will be required to provide:

• A list of relevant projects or N8N workflows they’ve built.

• Their current visa status (employment, visit, or need sponsorship).

• Expected salary range (AED/month).

• Timeline to join — Are you available to join immediately or within a notice period?

Salary & Benefits

• Competitive salary based on experience (range: AED 3500–10,000/month).

• Visa sponsorship available for the right candidate.

• Modern office workspace and collaborative team environment.

• Career growth opportunities in a fast-scaling tech company.

Job Type: Full-time

Pay: AED3,500.00 - AED10,000.00 per month




## Full Description
Ready to revolutionize education through cutting-edge AI technology? We're seeking a visionary Full-Stack Engineer to join our mission of transforming learning experiences. At the intersection of artificial intelligence and education, you'll be crafting sophisticated solutions that make learning more engaging, personalized, and effective.Our Innovative Product Suite IncludesTeachTap : The TikTok of education, bringing historical figures to life through AITeachTales : Where AI meets storytelling to enhance student comprehensionTimeBack : Your students' AI learning companion, seamlessly integrated into their daily workflowAthena : Revolutionizing academic achievement through AI-powered video content and assessmentThis isn't just another coding job - it's an opportunity to shape the future of education while working with state-of-the-art AI technologies. We're looking for someone who can turn complex challenges into elegant, maintainable solutions that make a real difference in how people learn.What You Will Be DoingArchitect & Deliver Impact : Transform concepts into reality by designing, developing, and deploying full-stack features that enhance our educational platformsQuality Guardian : Lead the charge in maintaining system integrity through sophisticated debugging and proactive issue preventionCode Excellence Champion : Shape our technical direction through thoughtful code reviews and architectural decisions that prevent technical debtWhat You Won’t Be DoingCreating unnecessary complexity or over-engineering solutionsFollowing instructions without understanding the broader educational impactGetting bogged down in bureaucratic processes or endless planning sessionsFocusing solely on feature delivery without considering real-world learning outcomesSenior Developer Key ResponsibilitiesHarness the power of AI to create robust, scalable educational software solutions that deliver immediate value while maintaining long-term sustainabilityBasic RequirementsProven track record of 4+ years building production-grade web applications across the full stackDemonstrated leadership in owning and delivering complete product features or modulesSelf-starter mentality with the ability to navigate uncertainty and drive solutions independentlyHands-on experience integrating generative AI tools into development workflowsAbout LearnWith.AILearnWith.AI is an edtech startup that leverages AI and subject matter experts to cultivate a new way of learning. Our unique approach leverages 50+ years of learning science, cutting-edge data analytics and AI-powered coaching. In doing so, we can help students learn more, learn faster, and learn better - and have fun while doing it. We are a remote-first company that hires globally via Crossover.There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!Working with usThis is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD / hour, which equates to $100,000 USD / year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com / help-and-faqs for more details on this topic.Crossover Job Code : LJ-4774-AE-AbuDhabi-SeniorDevelope.008



## Qualifications
* Adversarial robustness and safety
* Bachelor’s degree in Computer Science, Engineering, Information Security, or equivalent experience
* Minimum 8+ years in Cybersecurity with 3+ years focused on securing AI/ML systems or GenAI applications in production
* CISSP certification required
* Demonstrated deep technical experience designing secure architectures for:
* ML pipelines and MLOps platforms (data ingestion, feature stores, training, model registry, deployment, monitoring)
* GenAI workloads (LLM APIs, fine-tuning, RAG, vector databases, agent frameworks)
* Cloud-native environments (containers/Kubernetes, serverless, service mesh, VPC/network security)
* Strong knowledge of AI-specific threats and mitigations: data poisoning, model inversion/membership inference, model theft/IP protection, adversarial examples, prompt injection/jailbreaks, exfiltration via outputs, and LLM supply chain risks
* Practical familiarity with security frameworks and standards: NIST AI RMF, OWASP Top 10 (including LLM apps), MITRE ATT&CK and ATLAS, or similar
* Hands-on experience implementing:
* Identity and access controls for AI services (service principals, fine-grained IAM, token and key management)
* Secrets management (Vault, KMS/Key Vault/Cloud KMS/HSM), encryption-in-transit/at-rest, data tokenization, DLP
* Monitoring/logging for AI systems (model telemetry, prompt/response logging with privacy controls, drift/anomaly detection)
* Demonstrated ability to quickly learn and build expertise in diverse and emerging technologies and new architectural concepts and principles
* Strong influencing and consensus building skills, and the adaptability to respond to change quickly
* Strong communications skills, both written and verbal
* Ability to effectively collaborate with all levels of the organization with diverse backgrounds
* Strong desire to drive change, and ability to adapt to change quickly
* Excellent communication skills; ability to influence architecture and risk decisions across engineering, product, and executive stakeholders
## Benefits
* Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location
* The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role
* Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role
## Responsibilities
* This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects
* The candidate will define and drive the security architecture, controls, and governance for our AI platforms, models, and AI-enabled products
* This role partners closely with Data Science, Enterprise Data & Analytics Technology, MLOps, Platform/Cloud, Legal/Privacy, and Global Cybersecurity Governance Risk and Compliance to design secure-by-design AI solutions that are resilient to adversarial threats and meet evolving regulatory requirements
* Define and own the end-to-end security architecture for AI/ML systems (training, fine-tuning, inference/serving, RAG, agents, and integrations)
* Develop and maintain reference architectures and guardrails for common AI patterns (e.g., RAG with vector databases, multi-agent workflows/orchestration, LLM API integrations, on-prem vs. cloud model hosting)
* Build and maintain an AI security controls library mapped to frameworks (e.g
* Establish risk appetite and control requirements across the AI lifecycle; perform design reviews and signoffs for AI initiatives
* Define security baselines, secure configurations, and kill-switch/rollback strategies for AI components
* Continuously assess threat landscape and update risk models specific to AI/ML, GenAI, and insurance sector adversaries
* Secure AI development and MLOps
* Integrate security into the ML/LLM SDLC and CI/CD pipelines (dataset curation, feature engineering, model training, evaluation, packaging, registry, deployment)
* Partner across Global Cybersecurity, Global Digital Solutions (Cloud/Platforms/Infrastructure/Endpoint), and Liberty IT to enforce least privilege, secrets management, and policy-as-code for AI pipelines and serving infrastructure
* Champion DevSecOps automation for AI projects by embedding security controls and testing directly into development pipelines, reducing reliance on manual approvals and enabling teams to deliver secure AI solutions quickly and efficiently
* Recommend/consult on adversarial testing and red teaming for AI systems; coordinate jailbreak/prompt-injection testing, model evasion scenarios, and safety evaluations
* Recommend and validate defenses (input/output filtering, content moderation, prompt hardening, retrieval sanitization, adversarial training, rate limiting/abuse detection)
* Drive monitoring for model drift, anomaly detection, and harmful output prevention; set response strategies and develop response playbooks for AI incidents
* Data protection and privacy
* Ensure data minimization, classification, encryption, and access controls for training and inference data (incl
* embeddings and vector stores)
* Ensure compliance with global privacy regulations (CCPA, NYDFS, GDPR, etc.) in AI/ML contexts
* Governance and compliance
* Recommend/consult with GRC on the establishment AI security governance, policies, and standards
* Define control objectives and measurable KPIs; support vendor/security assessments for AI services and model providers
* Enablement and leadership
* Evaluate and select AI security tools; manage POCs and guide build-vs-buy decisions
* Mentor teams on best practices in AI/ML security; help build internal capability across engineering, risk, and product functions
* Partner-first: embed with Data Science, MLOps, and Product teams to enable speed with safety
* Automate-by-default: codify controls in pipelines and platforms rather than relying on manual gates

## Full Description
Description

We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance.

At Liberty, you'llthrive in a hybrid setting that fosters in-person collaboration, innovation and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects.

This role has a hybrid work schedule (2 days onsite) for candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH.

Job Introduction:

The Security Architecture & Innovation team within the Global Cybersecurity (GCS) organization is seeking a seasoned GenAI Security Platform Architect with expertise in securing AI/ML systems and GenAI applications. The candidate will define and drive the security architecture, controls, and governance for our AI platforms, models, and AI-enabled products. This role partners closely with Data Science, Enterprise Data & Analytics Technology, MLOps, Platform/Cloud, Legal/Privacy, and Global Cybersecurity Governance Risk and Compliance to design secure-by-design AI solutions that are resilient to adversarial threats and meet evolving regulatory requirements.

About the job:

• Architecture and strategy.

• Define and own the end-to-end security architecture for AI/ML systems (training, fine-tuning, inference/serving, RAG, agents, and integrations).

• Develop and maintain reference architectures and guardrails for common AI patterns (e.g., RAG with vector databases, multi-agent workflows/orchestration, LLM API integrations, on-prem vs. cloud model hosting).

• Build and maintain an AI security controls library mapped to frameworks (e.g. NIST AI RMF, OWASP Top 10 for LLM Apps, MITRE ATLAS).

• Risk management.

• Establish risk appetite and control requirements across the AI lifecycle; perform design reviews and signoffs for AI initiatives.

• Define security baselines, secure configurations, and kill-switch/rollback strategies for AI components.

• Continuously assess threat landscape and update risk models specific to AI/ML, GenAI, and insurance sector adversaries.

• Secure AI development and MLOps.

• Integrate security into the ML/LLM SDLC and CI/CD pipelines (dataset curation, feature engineering, model training, evaluation, packaging, registry, deployment).

• Partner across Global Cybersecurity, Global Digital Solutions (Cloud/Platforms/Infrastructure/Endpoint), and Liberty IT to enforce least privilege, secrets management, and policy-as-code for AI pipelines and serving infrastructure.

• Champion DevSecOps automation for AI projects by embedding security controls and testing directly into development pipelines, reducing reliance on manual approvals and enabling teams to deliver secure AI solutions quickly and efficiently.

• Adversarial robustness and safety.

• Recommend/consult on adversarial testing and red teaming for AI systems; coordinate jailbreak/prompt-injection testing, model evasion scenarios, and safety evaluations.

• Recommend and validate defenses (input/output filtering, content moderation, prompt hardening, retrieval sanitization, adversarial training, rate limiting/abuse detection).

• Drive monitoring for model drift, anomaly detection, and harmful output prevention; set response strategies and develop response playbooks for AI incidents.

• Data protection and privacy.

• Ensure data minimization, classification, encryption, and access controls for training and inference data (incl. embeddings and vector stores).

• Ensure compliance with global privacy regulations (CCPA, NYDFS, GDPR, etc.) in AI/ML contexts.

• Governance and compliance.

• Recommend/consult with GRC on the establishment AI security governance, policies, and standards.

• Define control objectives and measurable KPIs; support vendor/security assessments for AI services and model providers.

• Enablement and leadership.

• Evaluate and select AI security tools; manage POCs and guide build-vs-buy decisions.

• Mentor teams on best practices in AI/ML security; help build internal capability across engineering, risk, and product functions.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Security, or equivalent experience.

• Minimum 8+ years in Cybersecurity with 3+ years focused on securing AI/ML systems or GenAI applications in production.

• CISSP certification required

• Demonstrated deep technical experience designing secure architectures for:

• ML pipelines and MLOps platforms (data ingestion, feature stores, training, model registry, deployment, monitoring).

• GenAI workloads (LLM APIs, fine-tuning, RAG, vector databases, agent frameworks).

• Cloud-native environments (containers/Kubernetes, serverless, service mesh, VPC/network security).

• Strong knowledge of AI-specific threats and mitigations: data poisoning, model inversion/membership inference, model theft/IP protection, adversarial examples, prompt injection/jailbreaks, exfiltration via outputs, and LLM supply chain risks.

• Practical familiarity with security frameworks and standards: NIST AI RMF, OWASP Top 10 (including LLM apps), MITRE ATT&CK and ATLAS, or similar.

• Hands-on experience implementing:

• Identity and access controls for AI services (service principals, fine-grained IAM, token and key management).

• Secrets management (Vault, KMS/Key Vault/Cloud KMS/HSM), encryption-in-transit/at-rest, data tokenization, DLP.

• Monitoring/logging for AI systems (model telemetry, prompt/response logging with privacy controls, drift/anomaly detection).

• Demonstrated ability to quickly learn and build expertise in diverse and emerging technologies and new architectural concepts and principles

• Strong influencing and consensus building skills, and the adaptability to respond to change quickly

• Strong communications skills, both written and verbal

• Ability to effectively collaborate with all levels of the organization with diverse backgrounds

• Strong desire to drive change, and ability to adapt to change quickly

• Excellent communication skills; ability to influence architecture and risk decisions across engineering, product, and executive stakeholders.

Preferred qualifications

• Experience with enterprise GenAI platforms and tools:

• MLOps: SageMaker, Vertex AI, Cortex, AWS ML, Azure ML, MLflow, KServe/Seldon/Triton, Feast/Tecton HuggingFace.

• LLM/GenAI: Azure OpenAI, AWS Bedrock, OpenAI, LangChain/LangGraph/Semantic Kernel, vector DBs (Pinecone, Weaviate, FAISS/Chroma), guardrails/middleware (e.g., Llama Guard, Lakera, Protect AI, Robust Intelligence, HiddenLayer), GitHub Copilot, GitHub Copilot Coding Agent, Devin.ai, M365 Copilot, Copilot Web.

• Observability: Prometheus/Grafana, ELK/Opensearch, Splunk, Cribl; AI eval frameworks and red-team tooling.

• Advanced degree (MS/PhD) in Security, ML/AI, or related field is a plus.

How we work

• Partner-first: embed with Data Science, MLOps, and Product teams to enable speed with safety.

• Automate-by-default: codify controls in pipelines and platforms rather than relying on manual gates.

• Measurable risk management: define clear control objectives, metrics, and continuous improvement loops.

About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally.

At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow.

We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers.

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

Fair Chance Notices

• California

• Los Angeles Incorporated

• Los Angeles Unincorporated

• Philadelphia

• San Francisco




## Full Description
Artificial Intelligence (A.I.) Operations Lead

12 month contract, expected to extend

"Hybrid" work environment, 3 - 4 days per week in the downtown Toronto office

Seeking an A.I. Lead who will be responsible for operationalizing responsible A.I. practices across the organization. This position ensures that AI solutions are ethical, explainable, compliant, and aligned with both regulatory requirements and business objectives.

Key Responsibilities:

• Develop, implement, and maintain Responsible AI frameworks, policies, and controls in alignment with CDAO and enterprise AI

• Conduct risk assessments and monitor AI models for bias, drift, and regulatory compliance

• Oversee operational reliability, security, and ethical use of AI systems across the AI lifecycle

• Collaborate with business, compliance, legal, and technology teams to align AI solutions with

organizational guidelines, policies and regulatory expectations

• Lead incident management and escalation for AI-related issues

• Drive continuous improvement in Responsible AI practices, including automation, monitoring,

and reporting

Desired skills and experience:

• Deep knowledge of AI/ML technologies, regulatory standards, and ethical frameworks

• Stakeholder management and leadership skills

• Proven ability to communicate complex technical concepts to non-technical audiences

• Experience with program/project management and team leadership

• Technical proficiency in AI/ML operations, monitoring, and automation tools (e.g., MLOps

platforms, model monitoring solutions, risk assessment tools)

• Familiarity with cloud platforms (Azure, AWS, GCP) and data governance tools

• Analytical and problem-solving skills, especially in risk mitigation and compliance

$120 - $140 per hour for an INC consultant, flexible related to experience

If you're interested, please apply with resume

If you're a strong fit, I'll be in contact quickly to discuss details and next steps




## Full Description
Our client is a fast-growing AI software company looking for creative and ambitious individuals to join as Trainee AI Web Designers. This is your chance to break into the booming AI industry and build a high-income career in web design, even if you’ve never designed a site before.

What You’ll Do:

• Learn how to use AI-powered design tools to create professional websites.

• Work with real clientson live projects under expert guidance.

• Collaborate with a team to deliver modern, conversion-focused sites.

• Build skills in web design, AI automation, and client communication.

What Our Client Offers:

• Excellent salary once trained and working with clients.

• Step-by-step training with AI design software no coding background required.

• Ongoing mentorship and career support to help you succeed.

• A clear career path in one of the fastest-growing industries.

Who They’re Looking For:

• Creative, motivated, and eager to learn.

• Strong communication skills with attention to detail.

• No experience required – just ambition and a desire to succeed.

• Perfect for graduates, career changers, or anyone looking to break into tech.

Why Join?

AI is transforming web design clients want fast, high-quality websites, and our client’s AI-powered systems make it easier than ever. As a Trainee AI Web Designer, you’ll be ahead of the curve, learning a high-demand skill that opens the door to big opportunities and financial freedom




## Full Description
Total compensation:

CAD $180,000 - $300,000

Join Us in Building the Future

At Architech, we don’t just ship software. We partner with North America’s leading brands to modernize legacy platforms, embed AI into real operations, and launch digital products that transform business outcomes. Our engineers and designers harness cloud-native tools, autonomous agents, data-driven insights, and GenAI todrive measurable impact - replatforming systems in the cloud, optimizing customer journeys, or accelerating AI adoption across the enterprise. You’ll work at the intersection of strategy and execution, solving complex problems alongside smart, curious teammates across Canada and Poland. Backed by 20+ years of experience, a drive for excellence, and a culture rooted in growth and collaboration, this is where you thrive if you’re looking to deliver meaningful, high-stakes software solutions.

We’re Building a More Inclusive Tech Industry

We believe diversity leads to better outcomes. Nearly half of our team was born outside of Canada, and we speak 19+ languages. We’re 31% women, 57% BIPOC, and 14% LGBTQIA+. We’ve doubled the number of women in tech roles in the past year, and maintain a 0% gender pay gap across our delivery and technology teams. Inclusion here isn’t a buzzword, it’s backed by data, policy, and accountability.

How We Work Together

We’re a close-knit, collaborative group who care about doing excellent work, and doing it with integrity. Our values shape how we show up every day:

• Think Big – Dream it, plan it, ship it

• Be Open & Collaborate – Diverse minds build better solutions

• Never Fail a Client – Own the outcome

• Grow Our People – Feedback, learning, leadership

• Do the Right Thing – Even when it’s hard

• Embrace Change – Adapt fast, stay curious

Our people say it best: “Employees of different backgrounds interact well within our company” - and 97% agree. Another 96% say “Architech respects individuals and values their differences.” We support continuous growth with learning budgets, internal bootcamps, certification bonuses, summit days, and more. It’s not just work - it’s a place to grow, lead, and build things that matter. And this is just the beginning. Check out all our other great benefits.

Role Overview

The VP, AI Advisory reporting to the CCO is a cornerstone member of Architech’s AI Growth Pod, an elite go-to-market team driving our next phase of AI-led growth and our client transformation. This role blends AI advisory, strategic consultative selling, and executive influence to help mid-market organizations unlock the value of AI and cloud modernization.

As part of the AI Growth Pod, you’ll operate at the intersection of business strategy, data, and technology guiding clients through discovery, readiness, and proof-of-execution journeys that translate innovation into measurable business outcomes.

You’ll collaborate closely with the Partner Growth Manager (PGM) to convert channel partner-sourced SQLs into qualified opportunities and with the VP, AI Client Solutions to shape impactful AI solutions that move clients from Discovery → Pilot → Build.

This is a high-impact, outward-facing role for a senior advisor who thrives on building trust with C-level executives, shaping AI transformation strategies, and leading engagements that position Architech as a trusted AI innovation partner in the market.

Key Responsibilities

1. Pipeline Development & Market Engagement

• Build and manage top-of-funnel motion through direct outreach, ABM campaigns, and executive networking.

• Represent Architech at industry conferences, partner events, and AI summits to generate high-quality leads and C-suite relationships.

• Collaborate with the PGM to prioritize partner-sourced co-sell opportunities and joint pursuits.

• Drive consistent pipeline coverage through personalized outreach, social selling, and thought-leadership initiatives (e.g., webinars, case studies, win wires).

2. Consultative Discovery & Solution Advisory

• Engage senior business and technology executives (VP+ and C-level) to uncover strategic objectives, business pain points, and transformation priorities.

• Lead AI readiness assessments, executive discovery workshops, and business value mapping sessions.

• Translate client needs into actionable AI opportunities, leveraging Architech’s AI Services Platform and our cloud partnership ecosystem.

• Partner with the VP, AI Client Solutions to co-create proposals, define solution scope, and develop compelling business cases and ROI models.

3. Engagement Structuring & Growth Leadership

• Lead the full sales lifecycle from qualification through negotiation and close, ensuring commercial success and client satisfaction.

• Collaborate with the CCO and cross-functional teams to design structured proposals, pricing models, and scalable engagement frameworks

• Maintain accurate forecasts, deal probabilities, and pipeline health within HubSpot

• Ensure seamless handoff to Client Partners for post-sale growth and account expansion.

4. Partner Collaboration & Go-To-Market Execution

• Collaborate with the PGM and Azure/GCP field teams to co-host joint events, webinars, and workshops highlighting AI success stories.

• Participate in joint account planning sessions to align partner motions with Architech’s AI GTM strategy.

• Represent Architech as a thought leader within the Azure , amplifying brand visibility and trust across partner and client networks.

5. Market Insights & Thought Leadership

• Stay current on AI market trends, solution innovations, and cross-industry use cases to inform client conversations.

• Publish and share thought-leadership content, client success stories, and AI adoption insights both internally and externally.

• Provide structured feedback to GTM and Services leaders on emerging client needs, competitive activity, and new solution opportunities.

Ideal Candidate Profile

Competency Area

Requirements

Experience

15+ years in enterprise technology, consulting, or AI/cloud sales with a proven track record of $5M+ annual new-logo attainment.

Advisory Expertise

Strong background in consultative or solution advisory roles; able to bridge business vision with technical execution.

Industry Knowledge

Broad exposure across industries, with emphasis on mid-market accounts (including SMB segments).

Technical Acumen

Familiarity with Azure AI, OpenAI, Google Cloud, and data modernization solutions; capable of translating technical concepts into business outcomes.

Partner Collaboration

Demonstrated success in co-selling within hyperscale ecosystems (Microsoft, Google Cloud) and leveraging partner programs (ECIF, MDF, ACMA).

Mindset

Strategic, confident, and outcome-oriented; thrives in ambiguity and builds executive trust through insight-driven advisory.

A Day in the Life:

Each day is a mix of strategy, influence, and innovation. You might start by leading a discovery workshop with a new prospect exploring AI automation, then pivot to a partner co-sell meeting to plan an upcoming webinar with Microsoft. Afternoons are often spent shaping proposals with the AI Client Solutions team or advising clients on how to turn their AI proof-of-concept into production value. You end the day sharing insights from the field that shape Architech’s next-generation GTM strategy.

Architech is an equal opportunity employer committed to diversity. Should you require any accommodations prior to or during the interview process, please indicate this during the interview process. We strongly encourage applications from racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

