Gen AI Engineering and Scaled AI Transformation

**Role Focus:** **Generative AI Engineering and Scaled AI Transformation for Source to Pay technology group - Hybrid** **1\. Large Language Model (LLM) Strategy & Technical Authority** * Acts as a **senior technical authority** on Large Language Models, including both **commercial and open‑source ecosystems** (OpenAI, Gemini, Claude, Llama). * Leads **model selection and deployment strategy**, balancing use‑case fit, data sensitivity, cost efficiency, latency, accuracy, and regulatory constraints. * Guides decisions on **hosted vs. private vs. fine‑tuned models**, ensuring optimal trade‑offs between performance, control, and operational risk. * Establishes **enterprise standards for LLM lifecycle management**, including upgrades, regression validation, and decommissioning. **2\. Hands‑On GenAI Application & Agentic System Design** * Demonstrates **hands‑on leadership** in building GenAI applications using **LangChain, LangGraph, LlamaIndex, and Hugging Face**, translating experimentation into production systems. * Architects **agentic and multi‑step workflows**, enabling tool‑use, reasoning chains, state management, and orchestration at enterprise scale. * Sets reusable **reference patterns and accelerators** for GenAI adoption across application teams. * Ensures solutions are built with **enterprise-grade reliability, explainability, and extensibility**. **3\. Retrieval Augmented Generation (RAG) & Enterprise Knowledge Enablement** * Designs and delivers **robust RAG architectures** that ground GenAI outputs in trusted, auditable enterprise data. * Leads implementation of **vector databases and embedding strategies** (pgvector, Pinecone, Weaviate, FAISS), aligned with data access and security models. * Applies **advanced retrieval techniques** including hybrid search, re‑ranking, metadata filtering, and context optimization to improve response accuracy and relevance. * Ensures RAG solutions support **data lineage, auditability, and regulatory compliance**. **4\. Prompt Engineering, Workflow Optimization & Cost Control** * Establishes **prompt engineering and orchestration standards** to ensure consistency, maintainability, and quality across GenAI solutions. * Optimizes GenAI workflows by actively managing **latency, throughput, token cost, and accuracy trade‑offs** in production environments. * Implements **evaluation and experimentation frameworks** to continuously improve output quality and business value. * Drives disciplined use of caching, batching, fallback models, and token optimization techniques. **5\. Machine Learning & Model Enablement Foundations** * Applies strong grounding in **ML/DL fundamentals**, enabling informed architectural decisions and credible engagement with data science teams. * Leverages **PyTorch and TensorFlow** for embeddings, training pipelines, and targeted fine‑tuning where business value is clear. * Ensures GenAI capabilities integrate seamlessly into the broader **ML, data, and MLOps ecosystem**. * Balances rapid GenAI delivery with long‑term model sustainability and governance. **6\. Production Deployment, Scalability & Operational Excellence** * Leads deployment of GenAI systems into **secure, scalable production environments** using **Docker, cloud‑native architectures, and hardened APIs**. * Establishes **observability and monitoring** for GenAI applications, covering performance, drift, quality, reliability, and failure modes. * Ensures GenAI platforms meet **enterprise availability, resilience, and disaster recovery expectations**. * Drives operational readiness, incident management, and ongoing optimization of AI services. **7\. Software Engineering Leadership** * Brings strong **hands‑on software engineering credibility**, setting standards for Python‑based GenAI services. * Leads development of **high‑performance AI‑powered APIs** using FastAPI and async programming patterns. * Champions clean architecture, testability, and security best practices across AI engineering teams. * Acts as a bridge between **traditional application engineering and AI‑native development**. **8\. AI Safety, Evaluation & Responsible AI Governance** * Leads the implementation of **AI evaluation and governance frameworks**, including hallucination detection, confidence scoring, and human‑in‑the‑loop validation. * Designs and enforces **guardrails, moderation layers, and usage controls** to prevent misuse or unintended outcomes. * Partners with Risk, Compliance, Legal, and Security teams to embed **Responsible AI principles** into all GenAI solutions. * Ensures GenAI adoption withstands **audit, regulatory, and reputational scrutiny**. **9\. Leadership, Influence & Execution** * Operates as a **hands‑on SVP**, combining strategic influence with deep technical execution. * Leads senior engineers and GenAI specialists, building **sustainable internal AI capability** rather than point solutions. * Communicates complex GenAI concepts clearly to **executive and non‑technical stakeholders**. * Drives delivery in **agile, fast‑moving environments**, with a strong bias for outcomes and measurable value. **Recommended Qualifications:** * **10+ years of progressive experience** in software engineering, ML, or AI platforms, with **5+ years leading senior engineers and architects**. * **3+ years of hands‑on experience deploying LLM‑based systems** in production environments at enterprise scale. * Demonstrated authority across **commercial and open‑source LLM ecosystems** (e.g., OpenAI, Anthropic, Google, Llama), including model selection, fine‑tuning, and hosting strategies. * Proven ability to define **enterprise-wide GenAI standards**, reference architectures, and reusable accelerators. * Demonstrated leadership in establishing **prompt engineering standards and orchestration patterns**. * Experience optimizing **latency, throughput, accuracy, and token cost** across large‑scale GenAI workloads. **Education:** * Bachelor’s degree/University degree or equivalent experience * Master’s degree preferred \------------------------------------------------------ **Job Family Group:** --------------------- Technology \------------------------------------------------------ **Job Family:** --------------- Applications Development \------------------------------------------------------ **Time Type:** -------------- Full time \------------------------------------------------------ **Primary Location Full Time Salary Range:** -------------------------------------------- $145,100.00 - $217,700.00 \------------------------------------------------------ **Most Relevant Skills** ------------------------ Please see the requirements listed above. \------------------------------------------------------ **Other Relevant Skills** ------------------------- For complementary skills, please see above and/or contact the recruiter. \------------------------------------------------------ **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. \------------------------------------------------------ _This job opening is for an existing job vacancy._ \------------------------------------------------------ _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](https://www.citigroup.com/citi/accessibility/application-accessibility.htm)._ _View Citi’s [EEO Policy Statement](https://www.citigroup.com/global/eeo-aa-policy) and the [Know Your Rights](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster._