Forward Deployed Engineer - AVP

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 Forward Deployed Engineer is an agile, hands-on software engineer embedded within Line of Business pods. This role is responsible for building agent features and prototypes, constructing automated evaluation testbeds, optimizing prompts and data parsers, and automating continuous testing pipelines to guarantee the accuracy, safety, and reliability of production AI agents

Responsibilities:

• Agent Prototyping & Feature Engineering: Develop and iterate on agent features, prompt templates, system instructions, few-shot examples, and data pre-processing scripts under the guidance of senior team members.
• Automated Evaluation Testbeds: Build, calibrate, and execute automated evaluation test suites using enterprise evaluation studios and frameworks (measuring agent task completion, tool call correctness, semantic similarity, latency, and hallucination metrics).
• Golden Dataset & Benchmark Curation: Curate, version, and maintain domain-specific golden evaluation datasets, synthetic benchmarks, and edge-case regression testbeds in collaboration with Line of Business domain experts.
• CI/CD Test Pipeline Automation: Author and maintain automated test execution scripts within enterprise CI/CD pipelines, enforcing continuous evaluation gates prior to staging and production rollout.
• Guardrail & Security Verification: Validate and test AI guardrail policies (prompt injection defenses, toxicity filters, PII redaction) across agent input/output pipelines to ensure safe operation.
• Telemetry & Diagnostic Reporting: Monitor agent performance metrics, log evaluations, and generate prompt diagnostic reports to assist squad leads and business stakeholders in optimizing agent behavior.
• Agile Pod Participation: Operate with increasing autonomy within fast-paced agile squads, actively contributing to sprint planning, standups, and codebase maintenance.
• 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: 3–5 years of relevant software engineering experience (or 1–2+ years with specialized focus in Python, Java, or Go and Generative AI application development).
• Programming Skills: Solid Python, Java, or Go programming proficiency with hands-on experience integrating REST/gRPC APIs, Docker containers, and Git workflows.
• AI & Evaluation Literacy: Working knowledge of Generative AI concepts, prompt engineering, and evaluation methodologies (e.g., semantic similarity, LLM-as-a-judge, benchmark test suites).
• CI/CD & DevOps Basics: Experience working with automated test pipelines and CI/CD tools (e.g., Tekton, Jenkins, GitHub Actions, Harness).
• Communication & Collaboration: Strong analytical, problem-solving, and communication skills with a methodical, detail-oriented approach to software quality and data integrity.

Education:

• Bachelor’s/University degree or equivalent experience in Computer Science, Data Science, or related quantitative discipline.

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.

​#LI-AH4

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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. ------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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