Senior Forward Deployed Engineer - Vice President
At a glance
VP-level Software Engineering role at Citi. London United Kingdom · full-time.
Pay not stated Software Engineering salary
techroles summary, based on the employer's posting.
What you'll do
- Build Python agent logic for reasoning, tool use, memory and delegation across multi-step workflows
- Create MCP servers and API connections that link agents with enterprise systems and services
- Develop RAG pipelines for parsing documents, creating embeddings, indexing vectors and retrieving relevant material
- Add output checks, safety controls, retries and fallback paths to keep agent workflows reliable
- Work with business users and engineers to test prototypes, review interaction feedback and improve agent behavior
What you bring
- At least seven years in professional software engineering, including four or more years using Python, Java or Go
- Hands-on foundation-model API and backend integration experience spanning at least one year
- Experience with REST or gRPC, Docker, Git, Linux and CI/CD, plus prompt engineering and retrieval methods
- A bachelor’s degree or equivalent experience; a master’s degree is preferred
Who this fits
This is a senior, hands-on engineering role embedded in business squads, with direct collaboration with traders, bankers and analysts. It suits someone who can turn user feedback into iterative AI prototypes and coach junior engineers. The role is based in London and uses a hybrid schedule, with up to two days of home working each week.
From the employer
About the Team:
Build the next generation of agentic AI.
The Applied AI and Agents Factory brings together ambitious engineers to turn advanced AI capabilities into production-ready solutions. Working directly with business and technology teams, you’ll tackle complex engineering challenges, build intelligent agents and take ideas from initial concept through to live deployment.
This is an opportunity to work at the cutting edge of AI engineering, developing systems that go beyond conversational tools to reason, plan and execute multi-step workflows. You’ll build reliable agent workflows, integrate AI with enterprise systems and ensure solutions perform securely and consistently in production.
With a strong focus on hands-on engineering, collaboration and rapid delivery, the Factory gives you the opportunity to solve challenging technical problems, develop your expertise and contribute reusable tools and engineering practices that support AI adoption across Citi.
If you want to do more than experiment with AI — and build, deploy and scale systems that deliver real business value — this is where you can make your mark.
About the Role
The Senior Forward Deployed Engineer is a hands-on core engineering professional embedded within Line of Business squads. This role is responsible for developing production-grade agent reasoning logic, custom tool integrations, data retrieval pipelines, and resilient execution workflows adhering to enterprise safety, security, and quality standards.
Responsibilities:
- Agent Reasoning & Logic Implementation: Write clean, modular, production-quality Python code implementing agent reasoning loops, dynamic tool calling, short-term/long-term memory management, and sub-agent delegation.
- Tool & MCP Server Development: Build and maintain custom Model Context Protocol (MCP) servers and API connectors integrating AI agents with enterprise systems (e.g., ticketing systems, relational/NoSQL databases, message queues, and internal REST/gRPC microservices).
- Data Ingestion & Retrieval Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) components, including document parsing, embedding generation, vector indexing, metadata filtering, and semantic search retrieval.
- Resilience & Error Handling: Implement resilient error handling, automated retry mechanisms with exponential backoff, circuit breaking, fallback routines, and Human-in-the-Loop (HITL) escalation triggers for ambiguous model outputs.
- Structured Output Validation: Build deterministic validation layers using Pydantic and JSON Schema to guarantee structured, type-safe outputs from non-deterministic foundation models.
- Safety & Guardrail Integration: Integrate real-time AI guardrail policies for prompt injection defense, jailbreak mitigation, and automated PII filtering/redaction into agent execution loops.
- Collaborative Testing & Evals: Partner with C12 engineers to construct automated regression testbeds, curate golden datasets, and integrate automated evaluation suites into CI/CD release pipelines.
- Agile Sprint Delivery & Peer Review: Actively participate in agile sprint delivery, technical problem-solving sessions, and peer code reviews, coaching junior engineers on software craftsmanship.
- Direct Business Collaboration: Collocates and collaborates directly with Line of Business end-users (traders, bankers, analysts) to observe day-to-day operational workflows and capture nuanced domain logic and edge cases.
- Iterative Prototype Building: Rapidly builds, tests, and refines functional agent prototypes and prompt chains based on direct, daily qualitative feedback from business pilot users.
- User Friction Analysis: Analyzes user interaction logs and user feedback to identify model failure modes, prompt ambiguities, and UI/UX friction, implementing iterative improvements to agent reasoning.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citi, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
- Total Experience: 7+ years of professional software engineering experience, with 4+ years of strong, professional Python, Java, or Go proficiency.
- LLM & AI Engineering: 1–2+ years of hands-on experience working with foundation model APIs (e.g., centralized enterprise AI gateways, OpenAI, Azure OpenAI, Google Vertex AI, Anthropic) and integrating LLMs into backend services.
- Software Engineering Fundamentals: Solid experience in REST/gRPC API development, Docker, Git workflows, Linux environments, and CI/CD pipelines.
- Prompt & Data Engineering: Proven understanding of advanced prompt engineering techniques, structured output parsing, vector databases, and retrieval strategies.
- Experience collaborating directly with business stakeholders, product managers, or operational users in rapid, iterative delivery cycles.
Education:
- Bachelor’s/University degree or equivalent experience; Master’s degree preferred.
What we’ll provide you
This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
- 27 days annual leave (plus bank holidays)
- A discretional annual performance related bonus
- Private Medical Care & Life Insurance
- Employee Assistance Program
- Pension Plan
- Paid Parental Leave
- Special discounts for employees, family, and friends
Visit our Global Benefits page to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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