Skill
AWS SageMaker
Data Science, Analytics and AI/ML
Amazon SageMaker is a fully managed machine learning platform that lets data scientists and developers build, train, and deploy ML models at scale, covering the entire ML lifecycle from data labeling to model hosting. It provides built-in algorithms, Jupyter notebook environments, and tools like SageMaker Studio for experimentation and MLOps pipelines. It's widely used by teams wanting to avoid managing the underlying infrastructure for machine learning workloads.
AWS SageMaker in the job market
Last checked September 12, 2026
- Open roles
- 9
- Employers
- 7
- Median pay
- —
- Disclose pay
- —
on Career App right now
hiring for it
not enough disclosed
of these roles
Open roles requiring AWS SageMaker (9)
Head of Actuarial Pricing Analytics - North America
American International Group
$147,000 – $185,000
Lead the development and deployment of advanced statistical models that power AIG's insurance pricing tools across North America, managing a team of actuaries and overseeing predictive modeling pipelines on cloud platforms. This role suits an experienced technical leader who combines deep actuarial or pricing expertise with strong software engineering practices and a passion for embedding AI-driven analytics into insurance workflows.
Listed on American International Group’s careers site · Apply there ↗
Software Engineer, Sr. Consultant - Fullstack GenAI Enablement
Visa Inc.
Full-time · Ashburn, VA · $152,200 – $243,700
This is a senior full-stack engineering role focused on building and architecting GenAI-powered applications within Visa's global operations infrastructure, requiring both hands-on development and team leadership. The position suits experienced engineers comfortable across backend, frontend, and AI systems who can mentor others while delivering scalable AI solutions integrated into payment processing platforms.
Listed on Visa Inc.’s careers site · Apply there ↗
Full Stack AI Engineer, Clinical Engineering & Operations
Bristol Myers Squibb
Full-time · Princeton, NJ · $94,180 – $114,124
Bristol Myers Squibb is hiring a manager-level full stack engineer to lead the design and deployment of AI-native applications and platforms for their Global Development Operations, with responsibility for building production-grade generative and agentic AI solutions in a regulated pharma environment. The role suits someone with 5+ years of software engineering experience, hands-on expertise in large language models and AI frameworks, and the ability to drive cross-functional collaboration in a complex organization.
Listed on Bristol Myers Squibb’s careers site · Apply there ↗
AI Solution Architect
Accenture
This role involves designing end-to-end architectures for production AI systems across multiple client engagements, balancing technical, cost, and business requirements. It suits senior AI engineers with hands-on experience in generative AI and MLOps who want to move into architectural leadership while mentoring teams and shaping platform practices.
Listed on Accenture’s careers site · Apply there ↗
Manager 2, AI Science
Intuit
Mountain View, CA · $237,500 – $321,500
Lead a team of AI scientists building credit risk and fraud detection models for Intuit's consumer lending and banking products, protecting hundreds of thousands of customers while staying hands-on with complex modeling problems. This role suits experienced ML leaders who want to own high-impact risk infrastructure across multiple business verticals and grow both the team and themselves.
Listed on Intuit’s careers site · Apply there ↗
Principal Applied Machine Learning Scientist
Omada Health
Full-time · Remote, USA · $235,200 – $338,100
A Principal Applied ML Scientist position leading research and development of predictive health trajectory models and next-best-action algorithms for chronic disease management. This role combines machine learning research with healthcare product impact, requiring deep technical expertise in temporal modeling, causal inference, and reinforcement learning to operationalize algorithms that improve member health outcomes.
Listed on Omada Health’s careers site · Apply there ↗
Senior Technical Program Manager (Engineering) - AI Tooling & Systems
Deepgram
USA | Remote · $152,000 – $208,000
This role leads the design and delivery of ML infrastructure, model serving systems, and AI tooling that enable Deepgram's research and engineering teams to build and deploy voice AI models at scale. You'll coordinate across research, engineering, and product to translate ML requirements into production systems while optimizing for cost, latency, and developer velocity.
Listed on Deepgram’s careers site · Apply there ↗
Staff AI Scientist
Intuit
Atlanta, GA
Intuit is hiring a Staff AI Scientist to build credit risk models for their Consumer Lending products, including tax refund advances and buy-now-pay-later offerings. This role suits experienced ML practitioners who want to own the full model lifecycle in fintech and work on high-impact lending decisions affecting hundreds of thousands of customers.
Listed on Intuit’s careers site · Apply there ↗
Senior Applied AI Engineer
Omada Health
Full-time · Remote, USA · $174,400 – $250,700
Omada Health seeks a Senior AI Engineer to design and deploy large language model solutions that improve chronic disease management. This role suits experienced ML practitioners who want to apply cutting-edge generative AI techniques to solve real healthcare problems at scale.
Listed on Omada Health’s careers site · Apply there ↗
Asked for alongside AWS SageMaker
Measured from the 9 open roles that name AWS SageMaker — not from a curated list.
- Python6 roles66.7%
- LangChain4 roles44.4%
- PyTorch4 roles44.4%
- SQL4 roles44.4%
- Amazon Web Services (AWS)3 roles33.3%
- Deep Learning3 roles33.3%
- Reinforcement Learning3 roles33.3%
Roles that use AWS SageMaker
Employers hiring for AWS SageMaker
7 in total, most open roles first.
- Intuit2 roles
- OHOmada Health2 roles
- AAccenture1 role
- Bristol Myers Squibb1 role
- DDeepgram1 role
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.