Lead Generative AI Engineer - Vice President
About the job
- Deep, hands-on expertise in core generative AI concepts, including foundation models, large language models, embeddings, tokenization, and context-window management.
- Advanced skills in prompt engineering and context engineering, including familiarity with prompt design tools/frameworks and dynamic context orchestration.
- Strong experience building retrieval-augmented generation systems, including chunking strategies, hybrid search, and multi-vector retrieval.
- Practical experience designing knowledge graphs and Graph RAG pipelines, using graph databases such as Neo4j or ArangoDB, for relationship-aware, multi-hop retrieval.
- Proven experience building agentic AI systems with Google Agent Development Kit and/or comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI, OpenAI Agents SDK), including tool/function calling, planning, and memory.
- Strong grasp of multi-agent orchestration patterns (supervisor/worker, hierarchical, peer-to-peer) and harness engineering (governance, feedback loops, execution controls, agent isolation/sandboxing).
- Hands-on experience with agent interoperability protocols: Model Context Protocol for tool/data access and Agent2Agent protocol for inter-agent collaboration.
- Experience with agent observability and evaluation, such as tracing and OpenTelemetry-based tooling, for production agent systems.
- Proficiency with major generative AI APIs (OpenAI, Gemini, Claude, etc.) and orchestration frameworks such as LangChain and LlamaIndex.
- Strong natural language processing skills, including named entity recognition, dependency parsing, text classification, and topic modeling.
- Proficiency with vector databases and embedding models for large-scale retrieval.
- Experience with containerization (Docker), orchestration (Kubernetes), and continuous integration/continuous delivery pipelines for AI/agentic applications.
- Solid understanding of AI compliance, guardrails, and responsible AI practices.
- Strong skills in Python and experience with data preprocessing, document ingestion, and API development.
- Bachelor's or master's degree in Computer Science, Data Science, AI, or a related field.
- Five to seven years of experience in AI/software development, including significant experience in generative AI and agentic AI.
- A demonstrated portfolio of successful AI-driven projects in a business environment.
- Experience working with AWS or equivalent cloud infrastructure for AI/generative AI.
- Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions that address business challenges.
- Architect context engineering strategies, including context layering, chaining, compression, pruning/offloading, and memory management, to maximize reliability, provenance, and token efficiency in production.
- Design and implement generative AI methods, including prompt engineering and retrieval-augmented generation.
- Build and optimize retrieval-augmented generation systems, including hybrid search, multi-vector retrieval, and re-ranking pipelines.
- Design and implement knowledge graphs and Graph RAG architectures to enable multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains.
- Architect agentic workflows and multi-agent systems using Google Agent Development Kit and comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI), applying supervisor/worker, hierarchical, and peer-to-peer orchestration patterns.
- Design agent harnesses covering governance, constraints, feedback loops, state/session management, and execution controls for reliable and safe long-running agent systems.
- Integrate agents with tools and data via Model Context Protocol and orchestrate inter-agent collaboration and task delegation via Agent2Agent protocol.
- Support the integration of generative AI and agentic applications into production environments, ensuring robust deployment, scalability, observability, and maintainability.
- Contribute to the development and optimization of real-time and streaming AI solutions.
- Stay current with advances in generative and agentic AI and share knowledge with the team.
- Ensure adherence to ethical AI guidelines, guardrails, agent isolation/sandboxing, data privacy, and compliance standards.
- Mentor junior team members, provide code reviews, and foster a culture of technical excellence.
About the company
Citi runs banking, investment and payment services for companies, governments and individuals around the world. Its global network connects institutions with local banking systems, while its US consumer business sells credit cards and deposit accounts. Corporate clients use Citi to manage cash, finance trade and raise capital, and investors use its trading, custody and wealth services to hold and manage assets. The bank earns interest on loans and fees from payments, securities transactions, financial advice and account services. Citi traces its banking roots to 1812; the Citigroup holding company was formed in 1998, and its headquarters are in New York City.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1812
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Simplify's Take
What believers are saying
- Revenue is expanding: Citi reported $24.8 billion in the June 2026 quarter, up 14% year over year.
- US parents get protected time: eligible Citi employees receive 16 weeks of bonding leave at full base pay.
- Institutional deposits are sticky: Citi says around 80% of Services deposits come from clients with relationships exceeding 15 years.
What critics are saying
- Lending losses remain substantial: Citi's net credit losses reached $2.4 billion in the June 2026 quarter.
- Australian hybrid roles require office time: Citi sets a minimum of three office days weekly for designated hybrid positions.
- Job cuts carry a cost: Citi booked roughly $500 million in severance in the March 2026 quarter.
What makes Citi unique
- Corporate payments move at scale: Citi processes around $6 trillion daily through its Treasury and Trade business.
- Deposits move beyond banking hours: Citi Token Services transfers cash between participating Citi branches around the clock.
- Employees use a shared AI workspace: Citi's Stylus platform reaches over 180,000 people for research and multi-step workflows.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Wellness Program
Paid Vacation
Paid Sick Leave
Paid Holidays
Company News
Citigroup reported its best third-quarter revenue in a decade for 2026, with four of its five core businesses growing. Services revenue rose 15%, and wealth management return on tangible common equity (ROTCE) topped 14%. The bank raised its full-year ROTCE guidance to above 11%, with a medium-term target of 11-13% for 2027-2028. It expects Markets revenue to fall about 20% in the fourth quarter, a typical seasonal decline. Expense growth was held to 3% excluding notable items. Citigroup booked over $1 billion in year-to-date severance and bought back $3 billion of shares in the third quarter alone. Its CET1 capital ratio stood at 12.8%. The deconsolidation of Banamex in early 2027 is expected to be slightly accretive to that ratio despite a $9 billion currency translation adjustment loss.
Four of the biggest US banks reported higher third-quarter profits on Tuesday, but warned that higher interest rates and inflation could hurt consumers and the economy. JPMorgan Chase, the largest US bank by assets, earned $15.3 billion, or $5.57 a share, up from $14.4 billion a year earlier. It missed analyst forecasts of $5.93 a share, its first miss in nearly three years. Goldman Sachs posted a profit of $5.29 billion, up from $4.1 billion, as equities revenue jumped 72%. Wells Fargo earned $5.95 billion and beat forecasts, while Citigroup's profit rose 40%. JPMorgan chief executive officer Jamie Dimon cited "large fiscal deficits, sticky inflation, elevated asset prices, rising interest rates and geopolitical conditions.
US stock futures were mixed on Tuesday as investors weighed a wave of earnings reports. Dow futures rose 0.9%, S&P 500 futures slipped 0.1%, and Nasdaq futures fell 0.7%. Memory stocks fell for a second day after a Chinese chipmaker, CXMT, said it had made a breakthrough in memory chip production. Roundhill Memory ETF fell more than 5% in premarket trading. UnitedHealth rose more than 2% after it earned an adjusted $4.69 per share on $112.69 billion in revenue, beating estimates. It raised its full-year earnings outlook to at least $20.50 per share. Goldman Sachs gained more than 3% on strong results. JPMorgan Chase, Wells Fargo, and Citigroup fell short in parts of their reports. Johnson & Johnson fell 2% after $25.40 billion in sales narrowly missed estimates, though it raised its full-year forecasts.
Citigroup Inc.'s fixed-income traders posted their best third quarter in at least a decade, beating analyst expectations. Trading desks for bonds, currencies and commodities brought in $4.4 billion, against an average estimate of $4.3 billion. Rival JPMorgan Chase & Co. reported a surprise drop in fixed-income trading revenue the same day, its first in more than two years. Citi's services business saw revenue rise 15% to $6.6 billion. Merger advisory revenue fell 4%. Total revenue rose about 8% to $23.8 billion, above the $23.7 billion estimate. Earnings per share were $2.85, against an estimate of $2.65. Non-interest expenses totalled $14 billion, below the $14.4 billion analysts expected. Citi's shares are up 13% this year, more than all of its major rivals.
DailyPay, the on-demand pay provider, has completed a $200 million asset-backed securitisation of its receivables. This marks the company's second such transaction, following a $200 million securitisation in June 2025. The New York-based firm now has approximately $1.4 billion in debt financing backed by its on-demand pay receivables, including a $960 million secured credit facility. DailyPay is the only on-demand pay provider to access the asset-backed securitisation market. The company serves more than 2,000 employers and over 6 million employees. Its platform allows workers to access wages they have already earned before payday, with DailyPay funding the transfers without affecting employer cash flow. Citi acted as lead bookrunner and structuring agent for the transaction.