Citi Logo

Citi

Forward Deployed AI Engineer - Assistant Vice President

Posted 27 Days Ago
Be an Early Applicant
In-Office
New York, NY
121K-182K Annually
Senior level
In-Office
New York, NY
121K-182K Annually
Senior level
Builds AI-agent evaluation harnesses, golden datasets, synthetic benchmarks, regression testbeds, prompt templates, structured output parsers, and automated CI/CD testing pipelines. The role analyzes agent performance, latency, hallucinations, and tool-call accuracy; implements security guardrails; supports evaluation cycles; and provides diagnostic reporting to stakeholders. It requires independent judgment, advanced Python development, and expertise in generative AI application testing.
The summary above was generated by 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 take ownership of the full engineering lifecycle, from agent architecture and orchestration to enterprise integration, security and observability.


With a strong focus on hands-on engineering, collaboration and rapid delivery, the Factory gives you the opportunity to solve challenging technical problems, influence architectural decisions and help shape reusable tools and engineering standards adopted across Citi.


The Forward Deployed Engineer (C12) 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: 5+ years of relevant software engineering experience (or 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

------------------------------------------------------

Job Family Group: Technology

------------------------------------------------------

Job Family:Applications Development

------------------------------------------------------

Time Type:

------------------------------------------------------

Primary Location:New York New York United States

------------------------------------------------------

Primary Location Full Time Salary Range:$121,200.00 - $181,800.00


In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

------------------------------------------------------

Most Relevant Skills Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

Anticipated Posting Close Date:Nov 10, 2026

------------------------------------------------------

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.


Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.


Illinois residents – AI Notice and Right

------------------------------------------------------

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.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

Similar Jobs

8 Days Ago
Hybrid
121K-182K Annually
Senior level
121K-182K Annually
Senior level
Financial Services
Build and deploy production AI agents within business technology teams. Responsibilities include agent prototyping, prompt and data optimization, automated evaluation testbeds, benchmark dataset curation, CI/CD test automation, guardrail and security validation, telemetry monitoring, and diagnostic reporting. The role requires hands-on software engineering, collaboration in agile pods, and adherence to enterprise risk, compliance, and security standards.
Top Skills: Ci/CdDockerGenerative AiGitGithub ActionsGoGrpcHarnessJavaJenkinsPrompt EngineeringPythonRest ApisTekton
3 Minutes Ago
Easy Apply
Hybrid
Easy Apply
84K-165K Annually
Mid level
84K-165K Annually
Mid level
Big Data • Cloud • Software • Database
Develops pricing and packaging strategies, financial and operational models, business cases, competitive analyses, and unit economics. Partners with Finance, Engineering, Product Management, and go-to-market teams to operationalize monetization decisions. Translates customer, product, infrastructure, and market data into strategic recommendations for leadership and supports product launches and pricing changes.
Top Skills: ExcelGoogle SlidesPowerPointPythonSQL
33 Minutes Ago
Remote or Hybrid
US
160K-200K Annually
Expert/Leader
160K-200K Annually
Expert/Leader
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads product operations by enabling AI workflows, owning product tooling and infrastructure, governing integrations and access, managing vendors, standardizing product lifecycle processes, and building measurement systems. The role also stewards the product operating system, drives adoption and change management, facilitates cross-functional feedback mechanisms, and establishes metrics for operational effectiveness.
Top Skills: Ai AgentsAi AutomationsAi ConnectorsAi ToolsDashboardsJira Product DiscoveryPendoSalesforceSession ReplaySystem Integrations

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account