AI Applied Senior Engineering Lead at Citigroup Inc. — NeverHard

## AI Applied Senior Engineering LeadApplyremote type: Hybridlocations: Mississauga Ontario Canadatime type: Full timeposted on: Posted Todayjob requisition id: 26987321**Role Overview:**Citi’s Banking Technology organization is seeking a highly hands-on AI Applied Senior Engineering Lead to design, build, and deploy cutting‐edge AI solutions for Investment, Corporate, and Commercial Banking. This role focuses on implementing **scalable, agentic AI frameworks and generative AI solutions** within small, agile squads. The successful candidate will operate with an **AI‐first mindset**, emphasizing rapid prototyping, MVP‐driven development, and iterative delivery of production‐grade AI capabilities.**Key Responsibilities:*** **AI Solution Development:** Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability.* **Agentic Systems:** Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs).* **Full‐Stack AI Engineering:** Build full‐stack applications integrating LLM‐driven workflows and AI coding tools (e.g., Devin, GitHub Copilot).* **Iterative Delivery:** Drive an MVP‐first, rapid‐iteration approach with continuous experimentation and improvement.* **Evaluation & Optimization:** Define and implement metrics, evaluation strategies, and feedback loops to continuously improve AI system performance and behavior.* **Emerging Technologies:** Research, prototype, and integrate advances in agent‐based, autonomous, and generative AI technologies.* **Technical Collaboration:** Contribute hands‐on within cross‐functional teams and provide technical guidance and mentorship to junior engineers.* **Domain Alignment:** Ensure AI solutions are well‐aligned to banking and financial services requirements, constraints, and business outcomes.**Qualifications:*** **Programming:** Strong proficiency in Python and/or Java (Spring Boot); working knowledge of JavaScript/TypeScript (Angular, Node.js). Full‐stack experience is a plus.**AI/ML Expertise:*** **Solid understanding** of core AI concepts such as knowledge representation, planning, and multi‐agent systems.* Hands‐on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK).* Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‐learn, NumPy, Pandas).* Familiarity with AI coding tools such as Devin, Claude Code, GitHub Copilot, and Antigravity.* **Software Engineering:** Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security.* **Architecture:** Experience designing API‐first, microservices‐based and event‐driven architectures, including data engineering patterns for AI systems.* **Platforms:** Hands‐on experience with Docker, Kubernetes, and OpenShift.* **Problem Solving & Communication:** Strong analytical skills with the ability to clearly communicate complex technical concepts.* **Domain Knowledge:** Solid understanding of banking/financial services and regulated environments.* **Nice to Have:** Experience in data science (statistical modeling, experimentation) and interest in mentoring junior AI engineers.**Experience:*** 10+ years of progressive software engineering experience with a strong hands‐on coding background.* 2+ years focused on AI software development, LLM‐based solutions, agentic systems, and/or machine learning.* Demonstrated experience delivering enterprise‐scale AI capabilities into production.**Education:** Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related quantitative discipline.*This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.* #J-18808-Ljbffr