Gates Foundation

1 month ago

Senior AI Engineer (*3-Year LTE)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Senior AI Engineer to design and build agentic AI systems, retrieval pipelines, and backend services for the Institute for Disease Modeling within the Gates Foundation. You will lead architectural decisions, mentor engineers, and translate complex domain problems into scalable AI-powered solutions for global health, in a 36-month limited-term Seattle-based role.

Location: Seattle

Workplace: Onsite

Employment Type: Full time · 36 months

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and build agentic AI systems — multi-step workflows, tool use, and autonomous task orchestration using modern LLM frameworks — and ship them as reliable backend services.
•Build and operate retrieval systems: ingestion, chunking, embeddings, vector search, and knowledge-graph-backed retrieval where it earns its keep.
•Design AI evaluation pipelines and benchmarks so the team can tell whether an agent, model, or retrieval system is actually getting better — and monitor them in production.
•Architect, implement, and maintain scalable backend services and APIs that other engineers, researchers, and applications build on top of.
•Make senior-level architectural calls — model choice, hosting (Azure OpenAI vs. self-hosted), framework selection, and infrastructure tradeoffs — and mentor other engineers on AI application patterns.

Pay and Benefits

Salary: USD 186,400 - 288,800 annually

Perks:Health InsuranceDentalVisionParental LeavePaid Leave

Key Requirements

•Bachelor’s degree in a technical field with 5+ years building production software, or equivalent experience
•Proficiency in Python, including for AI work (e.g., PyTorch, Hugging Face, or similar)
•Hands-on experience building LLM-powered applications: retrieval-augmented generation (RAG), agentic workflows, tool use, and prompt engineering at production scale
•Experience designing and operating backend APIs and services in cloud environments — ideally Azure, but AWS or GCP equivalents are fine
•Hands-on experience with data pipelines and ETL, MLOps/AI Ops workflows, and cloud data services

Experience:5+ yearsPublic healthNonprofitAI

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingCollaborationMentoring

Languages:English

Tech Stack:PythonPyTorchHugging FaceAzureAzure OpenAIAzure DatabricksDockerLLMVector databases

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Gates Foundation

A philanthropic organization that funds global health, development, education, and policy initiatives to reduce inequity and improve quality of life worldwide through grants, partnerships, and evidence-based programs.

Industry: Nonprofit

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Nonprofit & NGO

Funding: Grant Funded

Headquarters: Seattle, United States

Founded: 2000

Website LinkedIn

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Gates Foundation

1 month ago

Senior AI Engineer (*3-Year LTE)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time · 36 months

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and build agentic AI systems — multi-step workflows, tool use, and autonomous task orchestration using modern LLM frameworks — and ship them as reliable backend services.
•Build and operate retrieval systems: ingestion, chunking, embeddings, vector search, and knowledge-graph-backed retrieval where it earns its keep.
•Design AI evaluation pipelines and benchmarks so the team can tell whether an agent, model, or retrieval system is actually getting better — and monitor them in production.
•Architect, implement, and maintain scalable backend services and APIs that other engineers, researchers, and applications build on top of.
•Make senior-level architectural calls — model choice, hosting (Azure OpenAI vs. self-hosted), framework selection, and infrastructure tradeoffs — and mentor other engineers on AI application patterns.

Pay and Benefits

Salary: USD 186,400 - 288,800 annually

Perks:Health InsuranceDentalVisionParental LeavePaid Leave

Key Requirements

•Bachelor’s degree in a technical field with 5+ years building production software, or equivalent experience
•Proficiency in Python, including for AI work (e.g., PyTorch, Hugging Face, or similar)
•Hands-on experience building LLM-powered applications: retrieval-augmented generation (RAG), agentic workflows, tool use, and prompt engineering at production scale
•Experience designing and operating backend APIs and services in cloud environments — ideally Azure, but AWS or GCP equivalents are fine
•Hands-on experience with data pipelines and ETL, MLOps/AI Ops workflows, and cloud data services

Experience:5+ yearsPublic healthNonprofitAI

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingCollaborationMentoring

Languages:English

Tech Stack:PythonPyTorchHugging FaceAzureAzure OpenAIAzure DatabricksDockerLLMVector databases

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Gates Foundation

Industry: Nonprofit

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Nonprofit & NGO

Funding: Grant Funded

Headquarters: Seattle, United States

Founded: 2000

Website LinkedIn