Principal Engineer - Agentic AI Platform Engineering & Performance
Core
Define and lead the engineering approach, architecture, and technical roadmap for agentic AI capabilities embedded across the Software Development Lifecycle (SDLC) to improve developer productivity and enterprise consistency.
Role type
Principal Engineer, Agentic AI Platform Engineering & Performance
Builds
Enterprise AI platforms, agent orchestration frameworks, LLMOps pipelines, and developer tooling integrated with SDLC workflows.
Domain
Financial Services / Enterprise AI / Platform Engineering
Deliverable
production ML models | infrastructure
Required skills
Agent orchestration, LLMOps pipelines, runtime governance, AI performance engineering, platform design, CI/CD integration, cost-efficient AI system design, observability, SLA definition, secure integration patterns, token optimization, RAG optimization, parallelized agent workflows.
Preferred skills
Advanced degree in technical discipline, experience scaling platforms from incubation to enterprise adoption.
Technologies
LLMs, agentic architectures, orchestration frameworks, CI/CD tools, source control systems, enterprise developer platforms.
Responsibilities
Develop engineering approach for program/portfolio solutions, lead planning and design of complex features spanning multiple teams, create ideas for complex technology approaches, lead technical oversight including design reviews, define technology tool stacks, explore state-of-the-art technologies for efficiency, lead end-to-end test strategy, improve developer experience, advance technology platforms through innovation, reduce risk and improve quality via governance.
Seniority
Principal, strategy & mentorship
