Agentic Engineering Specialist

Agentic Engineering SpecialistTIAA 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  

Duties & 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 Lang Chain and Lang Graph 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

Educational Requirements University (Degree) Preferred Work Experience5+ Years Required; 7+ Years Preferred Career Level 9

IC

Required Skills:

5 years’ experience with Full Stack Development

Experience with multiple database types: graph, vector, document, and/or relational databases.

Preferred Qualifications:

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 Open Shift or Kubernetes Exposure to code modernization tooling such as Moderne Full-stack development experience

Prior experience mentoring or setting technical direction for a team Related Skills Agile Methodology, Continuous Integration and Deployment, Data Analysis, Debugging, Dev Ops, Enterprise Application Integration, Operating Systems Management, Problem Solving, Programming, Software Development, Software Development Life Cycle, Web Application Development Anticipated Posting End Date:

Base Pay Range: $170,000/yr - $245,000/yr Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location.  In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans).

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