Agentic Engineering Specialist
About The Position
Agentic Engineering Specialist TIAA is seeking an Agentic Engineering Specialist to design and build the AI-driven backbone of our enterprise data estate. This is a hands-on builder role for a hardcore engineer with real-world AI experience—someone who lives at the intersection of applied AI and production systems engineering. This Role will design and ship intelligent agents, agentic workflows, and LLM-powered capabilities that operate across a heterogeneous data landscape spanning graph, vector, and document databases. You will bring engineering rigor to a domain that often lacks it, taking agentic systems from concept through production deployment while navigating the operational realities of running LLMs at scale.
Requirements
- 5 years’ experience with Full Stack Development
- Experience with multiple database types: graph, vector, document, and/or relational databases.
Nice To Haves
- Experience building Agentic AI Solutions.
- Experience with MCP (Model Context Protocol), CrewAI, or similar emerging agentic frameworks
- Familiarity with Redis for caching, session state, or short-term memory implementations
- Experience with cloud-native deployment on OpenShift or Kubernetes
- Exposure to code modernization tooling such as Moderne
- Full-stack development experience
- Prior experience mentoring or setting technical direction for a team
Responsibilities
- Design, build, and ship AI agents and agentic workflows into production environments, moving well beyond prototypes and proofs of concept
- Design systems that synthesize and reconcile data across graph, document (MongoDB), and vector data sources into coherent, reliable outputs
- Develop memory and context management strategies for LLM applications, including context window optimization and multi-turn state handling
- Engineer agent iteration and self-correction loops that are both reliable and bounded
- Build and optimize RAG architectures using orchestration frameworks such as LangChain and LangGraph
- Apply deep expertise in graph database query languages, data modeling, and performance tuning to support agentic reasoning at scale
- Design and implement agents using Agent Core or comparable agentic frameworks
- Optimize prompt engineering and LLM interaction patterns for cost, latency, and output quality
- Bring strong software engineering discipline—robust testing, CI/CD, and source control practices—to AI system development
Benefits
- superior retirement program
- highly competitive health, wellness and work life offerings
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Associate degree
