Enterprise Agentic AI Platform Lead

Citi

Tampa (FL)

On-site

USD 141,000 - 212,000

Full time

14 days+

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Job summary

Citi, a leading financial services company in Tampa, seeks an Agentic AI Engineering Lead to own enterprise rollouts of autonomous AI agents across the software delivery lifecycle. You will design a ground-up agent orchestration platform, set technical strategy, and lead engineers while aligning with product, security, risk, and platform teams.

You will work hands-on with frontier Generative AI technologies and ensure governance, auditability, and compliance across all agent paths.

Qualifications

Proven experience leading AI/ML or platform engineering teams in product-focused environments.
Strong hands-on development experience in Python and/or Golang and delivered production-grade systems.
Experience building agentic AI systems with multi-agent orchestration, planning, and tool use loops.
Experience taking an AI platform from zero to enterprise scale with multi-tenant considerations.
Deep knowledge of LLM engineering: prompt/context engineering, evaluation harnesses, guardrails, and cost management.
Experience operating AI systems under governance: auditability, entitlements, and data protection.
Proven capabilities with distributed systems, event-driven architectures, and cloud-native infra.

Responsibilities

Architect and build the enterprise agent orchestration platform from the ground up, including runtime and planning loops.
Design multi-agent patterns with supervisory/worker hierarchies, task decomposition, and safe hand-offs.
Build integration surfaces to operate on enterprise systems with least-privilege credentials.
Define evaluation and observability layers with datasets, evals, and governance around prompts and models.
Establish reusable agent patterns, SDKs, and templates for other teams to adopt safely.