> Markdown version of [/jobs/ext/3778206-senior-forward-deployed-engineer-vice-president](https://www.wearedevelopers.com/jobs/ext/3778206-senior-forward-deployed-engineer-vice-president). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Forward Deployed Engineer - Vice President - **Company:** Citi - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $142,320.0 - $213,480.0 - **Contract:** Permanent contract - **Skills:** JIRA, JSON, Python (Programming Language), Linux System Administration, OpenAI, Search Technologies, Software Engineering, Systems Integration, Enterprise Software Applications, Delivery Pipeline, Large Language Models, Prompt Engineering, Google Vertex AI, Backend, Agentic-AI, Git, Apache Kafka, Api Design, Model Context Protocol, Human in the Loop, Docker, Servicenow - **Published:** October 16, 2026 - **Apply:** https://citi.wd5.myworkdayjobs.com/2/job/New-York-New-York-United-States/Senior-Forward-Deployed-Engineer---Vice-President_261002781/apply ## About the Role * 6+ years of software engineering experience, with 4+ years of strong, professional Python proficiency. * Hands-on experience working with LLM APIs (R2D2 Gateway, OpenAI, Google Vertex AI) and integrating foundation models into backend services. * Experience with REST/gRPC API development, Docker, Git, Linux environments, and CI/CD automation pipelines. * Understanding of prompt engineering, structured JSON output validation (e.g., Pydantic), and vector search/retrieval patterns. * Proven ability to work collaboratively in fast-paced agile squads solving ambiguous technical problems., * Bachelor's/University degree or equivalent experience; Master's degree preferred. ## Description The Senior Forward Deployed Engineer is a hands-on core engineering position responsible for developing agent reasoning logic, custom tool integrations, and resilient execution pipelines embedded with LOB squads. The overall objective of this role is to build production-grade agent reasoning loops, custom Model Context Protocol (MCP) servers, and robust error-handling mechanisms adhering to enterprise safety and quality standards., * Writes robust, production-quality agent reasoning logic, memory management, and sub-agent delegation workflows in Python. * Develops custom Model Context Protocol (MCP) servers connecting AI agents to enterprise systems (ServiceNow, JIRA, DBaaS, Kafka, internal REST/gRPC services). * Implements resilient error handling, automated retry mechanisms, fallback routines, and Human-in-the-Loop (HITL) escalation triggers. * Integrates Lakera Guardrails for synchronous and asynchronous prompt-injection defense, jailbreak mitigation, and automated PII filtering/redaction. * Collaborates with C12 engineers to build automated regression testbeds and integrate Agentflow Studio evaluation harnesses into deployment workflows. * Advises and coaches junior developers, participating actively in sprint delivery and peer code reviews. * Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, 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.