Senior AI Engineer

Russell Investments • Seattle, WA

50d

About The Position

Join a passionate, Global Technology and Enterprise AI team that partners directly with investment, trading, analytics, and client teams to design, build, and operate AI‑powered products. As a Senior AI Engineer (Full‑Stack Python), you will deliver end‑to‑end solutions-from modern web UIs and Python APIs to data pipelines and LLM/RAG systems-that are secure, scalable, and production‑ready for a global asset manager. You will design and operationalize AI infrastructure that powers enterprise-scale intelligence, applying disciplined software engineering practices to ensure performance, security, and maintainability.

Requirements

• 5+ years of Software Development experience required
• 2+ years building and operating applied ML/AI or LLM solutions in production
• Bachelor's degree in computer science, Mathematics, Statistics, or related engineering field required. Advanced degree preferred
• Expert Python: async programming, packaging, testing
• Back‑end frameworks: FastAPI (preferred), Django, or Flask
• Front‑end proficiency: React/Next.js (or similar), TypeScript/JavaScript
• Datastores: advanced SQL and vector database
• LLM platforms: Azure OpenAI, LangChain,
• MLOps/DevOps: Docker, Kubernetes, CI/CD
• Cloud: Azure preferred
• Demonstrated ability to communicate clearly and build trusted relationships with others.
• Excellent verbal and written communication skills and ability to interface with all domains and seniority levels in the organization.

Responsibilities

• Design & build AI applications that combine modern web front‑ends, Python APIs, and LLM workflows (prompting, tools, retrieval) to solve high‑value business problems.
• Own the full stack: React/Next.js (or comparable) front‑end; Python (FastAPI/Django/Flask) services; SQL and vector stores.
• Develop LLM systems including retrieval‑augmented generation (RAG) pipelines, embeddings, prompt templates, and guardrails.
• Data engineering for AI: build connectors, implement ingestion, and ensure data quality.
• Implement observability: metrics, logs, prompt monitoring, and performance profiling.
• Apply enterprise security practices and model governance aligned to financial‑services standards.
• Partner with domain experts to translate ambiguous problems into clear technical designs.
• Mentor and uplift peers on Python, AI patterns, and code quality.
• Consistently find and deliver new ways to develop and improve processes and technologies
• Conceptualize and be able to articulate solutions to team members and clients

Benefits

• salary is just one part of our compensation package
• annual performance bonus (subject to eligibility criteria)
• participation in our competitive benefits programs including healthcare, retirement, vacation, and wellbeing programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities