Principal Applied AI ML Engineer
On-site · Seattle, Washington, United States
Seattle, Washington, United StatesOn-siteFull TimeSenior LevelNot SpecifiedInvestment BankingEnterprise
Type
Full Time
Level
Senior Level
Education
Not Specified
Company size
Enterprise
Industry
Investment Banking
Job Summary
Lead a team of ML and software engineers to design and deliver agentic AI reference architectures and end-to-end ML lifecycle capabilities. Build and operate LLM-powered APIs and microservices, mentor senior engineers, drive responsible AI practices, and influence technical roadmaps with a focus on scalable, production-grade ML solutions for financial services.
Required Qualifications
- 10 years of experience building applied machine learning systems with hands-on work in LLMs or agentic AI
- Strong Python engineering skills; experience with PyTorch or TensorFlow
- Experience with Vector storage systems and designing memory for Agents
- Experience developing long running agents that run autonomously using tools, skills and human in the loop
- Proven experience deploying LLM-backed services to production (APIs, microservices)
- Deep MLOps experience, including CI/CD, monitoring, incident response, and model governance
- Cloud-native AI deployment experience (AWS or Azure), with cost and performance optimization
- Ability to lead technically and influence outcomes without formal authority
- Experience creating reusable platforms and patterns that accelerate delivery
- Demonstrated commitment to responsible AI practices and operational excellence
- Strong communication and collaboration skills across product, risk, legal, and compliance teams
- Experience optimizing inference and ML system performance
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