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# Principal Forward Deployed Data Scientist

- **Company:** Barclays
- **Location:** Hanover, NJ, United States
- **Experience:** Expert
- **Salary:** $215,000.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Integration, Large Language Models, Multi-Agent Systems, Generative AI, Model Context Protocol, Agent2Agent Protocol
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=eaaba4be8235176b

## About the Role

* Building AI/LLM applications in production - real systems people rely on,

whether internal or customer-facing, not prototypes or demos.

 * Taking ideas from prototype to production - a proven ability to move from

a fast proof of concept to a hardened, scalable, maintainable production

system, and the judgement to know what changes between the two.

 * A proven track record of delivering software to production in a regulated

environment - real, shipped systems with lasting impact, delivered within

governance, risk, compliance, and audit controls (e.g. financial services

or similar) without losing delivery pace.

 * Hands-on experience with agentic AI - building systems where models

reason, plan, call tools, and take actions, including multi-agent and

agent-to-agent (A2A) coordination, tool and data integration via the

Model Context Protocol (MCP), and the control and safety mechanisms that

keep autonomous behaviour trustworthy.

 * Identity and access for AI - how agents authenticate, act on behalf of

users with delegated authority, and operate under non-human/service

identities, with the authentication, authorisation, and auditability a

regulated environment demands.

 * Strong software engineering fundamentals - reliable, observable, testable,

maintainable systems.

 * Excellent communication and stakeholder skills - fluent moving between a

business conversation and a technical design, and comfortable working

directly with non-technical stakeholders.

 * A forward-deployed mindset - comfortable with ambiguity, close to the

business and the user, biased toward shipping and iterating.

STRONGLY DESIRABLE

 * Retrieval-augmented generation (RAG) - grounding responses in trusted

organisational knowledge.

 * Evaluation (evals) - defining, measuring, and improving the quality and

reliability of AI and agent behaviour.

 * Guardrails and safety - input/output filtering, hallucination mitigation,

control over autonomous actions, and responsible-AI practices.

 * Prompt and context design, memory, and other techniques for shaping

reliable model and agent behaviour., * Experience building customer-facing AI - delivering AI systems that real

external customers interact with, and handling the extra bar for safety,

trust, and polish that comes with it.

 * Exposure to agent-driven and AI-generated UI - interfaces that agents

render, drive, or adapt dynamically.

All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.

## Description

select between different models, agent patterns, and architectures as the

problem demands.

 * Leading architecture across teams - setting technical direction that other

engineers build on.

 * An insatiable pull toward new and emerging technology - you keep up with