Agentic AI Engineering Lead — Enterprise Agent Orchestration - SVP

## Agentic AI Engineering Lead — Enterprise Agent Orchestration - SVPApply:
Hybrid:
Tampa Florida United States:
Irving Texas United States:
Full time:
Posted Today:
##
** The Department
** Developer Engineering is a function of the CTO organization. Our mission is to make it easy and enjoyable for software engineering teams to go from a business idea to delivering an innovative product solution. We are committed to modernizing our toolchain, streamlining delivery processes,
** automating at scale**, and embedding
** intelligent controls
** that help engineering teams ship with confidence and speed.##
** The Team
** Within the Developer Engineering department, the Developer Services group is a dedicated expert team at the forefront of the
** everything-as-code
** agenda. We exist to deliver measurable reductions in process friction, manual effort, and human error — ensuring our policies, standards, and controls are
** codified, automated, and consistently applied
** across the organization.

We hold a unique mandate as part of a
** greenfield program
** to shape critical technical consensus at
** global scale**, transforming how the firm's engineers build and apply controls across its technology landscape.

Developer Services is a cross-functional team of engineers,
** AI practitioners**, data scientists, business analysts, and product managers — working together to engineer next-generation
** codified controls**, build the platforms that power them, and drive
** enterprise adoption**.##
** The Opportunity
** This is a rare
** greenfield / build-from-scratch
** opportunity to create an
** enterprise agentic AI capability** — the
** agent orchestration layer**, the
** guardrails**, and the
** adoption model** — inside one of the world's most
** highly regulated financial environments**.As the
** Agentic AI Engineering Lead**, you will own the
** enterprise rollout
** of
** autonomous and semi-autonomous AI agents
** across the software delivery lifecycle: designing the
** multi-agent orchestration platform
** that plans, routes, executes, and audits agent work, and defining the
** control model
** that makes
** AI autonomy
** safe under
** financial services regulation**. You will start from a blank page, set the
** technical strategy**,
** lead a team of engineers**, and partner with product,
** security**,
** risk**,
** controls**, and platform teams to take agents from
** pilot to firm-wide production**.You will work hands-on with frontier
** Generative AI
** technologies —
** large language models (LLMs)
** such as
** GPT**,
** Gemini**, and
** Claude** — through
** prompt engineering**,
** context engineering**,
** tool / function calling**,
** retrieval-augmented generation (RAG)**,
** agentic planning loops**, and
** evaluation harnesses
** that prove agent behaviour before production.

This is not just an engineering role. It is a
** leadership
* * opportunity to define how
** agentic AI
** is built, governed, and scaled across a
** global bank**.##
** Responsibilities**###
** Agentic AI Platform & Agent Orchestration (Build from Scratch)
*** Architect and build the
** enterprise agent orchestration platform
** from the ground up:
** agent runtime**,
** planner/executor loops**,
** tool and MCP-style integration layer**,
** memory and context management**,
** state persistence**, and
** human-in-the-loop checkpoints
*** Design
** multi-agent patterns** —
** supervisor/worker hierarchies**,
** task decomposition**,
** delegation**,
** hand-off**, and
** recovery** — with
** deterministic fallbacks
** where autonomy is not appropriate
* Build the
** tool integration surface
** that lets agents act safely on real enterprise systems: source control,
** CI/CD**, ticketing, service catalogues, data platforms, and…