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Citi Logo Citi · IT - Software Development

Lead Agentic Ai Engineer

Canada, Mississauga Employment contract 120800.00 - 170800.00 USD / Year · Job Posted June 04, 2026
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Job Description

Citi's Wholesale Technology organization is seeking an exceptional, hands-on Lead Agentic AI Engineer (VP) to design, build, and deploy cutting-edge agentic AI solutions. This role combines deep technical leadership with architectural ownership — driving adoption of LLMs, agentic workflows, and generative AI platforms to improve efficiency, automation, and risk reduction across Citi's global banking operations. You will operate with an AI-first mindset, emphasizing rapid prototyping, MVP-driven development, and iterative delivery of production-grade AI capabilities.

Job Responsibility

  • Lead end-to-end design, development, and deployment of large-scale agentic AI solutions using Google Agent Development Kit (ADK) and frameworks such as LangChain, LangGraph
  • Architect advanced multi-agent systems (perception, reasoning, planning, execution) integrating multiple LLM providers (OpenAI, Anthropic, Google Gemini)
  • Build AI-powered capabilities using Google Gemini, Vertex AI, Agent Development Kit (ADK), Google A2UI, vector databases, RAG pipelines, semantic search, and advanced prompt and context management
  • Engineer autonomous agents incorporating planning, tool usage, memory management, and multi-step reasoning patterns
  • Develop scalable, high-performance backend services in Python (FastAPI, asyncio) with resilient APIs, event-driven designs, and microservices architectures
  • Build and maintain robust data pipelines working with SQL (Oracle, PostgreSQL) and NoSQL (MongoDB) databases
  • Implement secure REST APIs and agent interfaces with strong authentication, authorization (OAuth), and encryption best practices
  • Optimize AI agent performance, latency, and cost through prompt optimization, caching strategies, and vector index tuning
  • Provide architectural guidance for Next-Generation AI (NGAI) initiatives, ensuring adherence to CTO guidelines and platform standards
  • Develop and maintain a strategic roadmap for generative AI adoption, evaluating new models, techniques, and platforms
  • Establish and govern best practices for the full AI development lifecycle: prompt engineering, model evaluation, MLOps, and data management
  • Drive CI/CD practices integrating automated testing, agent evaluation, code quality gates, containerization, and cloud-native deployment pipelines
  • Automate AI model quality, performance testing, and MLOps build processing in the CI/CD pipeline
  • Mentor AI/ML Engineers on best practices in agentic AI development, Google ADK, and advanced AI technologies
  • Champion MVP-driven delivery, rapid iteration, and A/B experimentation to achieve fast time-to-value
  • Collaborate with business units to identify high-impact use cases and ensure AI solutions meet business goals

Requirements

  • 6–10 years of relevant experience in an AI/ML development role, Applications Development, or Systems Analysis, with a substantial and demonstrated focus on Python technologies
  • Minimum 2+ years of professional experience in software development with a focus on AI, prompt engineering, machine learning, and/or agentic AI systems
  • Proven track record as a lead developer for agentic flow design, prompt design, and testing of autonomous AI systems with deep expertise in Google ADK
  • Subject Matter Expert (SME) in at least one area of Applications Development, particularly Python application development (Django, Flask, FastAPI)
  • Python (expert-level): FastAPI, Django, Flask, asyncio, PySpark — strong fundamentals in algorithms, data structures, concurrency, and design patterns
  • Proficient in Java (Spring Boot, Spring Cloud), JavaScript/TypeScript (React, Next.js, Node.js), and SQL/data modeling
  • Experience across AWS, Azure, and GCP with Docker, Kubernetes, and CI/CD pipelines
  • Proficient in MLOps practices including model versioning, deployment, and lifecycle management
  • Strong foundation in secure API design, microservices, event-driven architecture, and distributed systems with expertise in testing, Git workflows, and performance optimization
  • Deep expertise in LLMs (OpenAI GPT, Gemini, Claude, Llama) with hands-on experience in LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, and Google ADK
  • Familiar with Vertex AI, MCPs, agent communication standards, and AI coding tools including GitHub Copilot, Devin, and Claude Code
  • Proven experience building advanced RAG systems (hybrid search, re-ranking, metadata filtering) with vector databases including Pinecone, Weaviate, FAISS, pgvector, and ChromaDB
  • Hands-on experience in PyTorch, TensorFlow, Keras, and Scikit-learn including fine-tuning and embeddings
  • Bachelor’s degree/University degree or equivalent experience

Nice to have

  • Performance Optimization: Redis, Hazelcast
  • low-latency distributed systems
  • Data Engineering: ETL/ELT pipelines
  • Apache Spark, Kafka
  • Frontend: React, Angular, Vue.js for full-stack capabilities
  • Master’s degree preferred
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