Sr Lead Software Engineer Agentic AI Systems

Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community - Operations Technology you are an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

As a lead for Agentic AI Systems you are responsible to architect build and scale autonomous AI agent systems that operate with minimal human intervention. This role is responsible for driving the technical vision design and delivery of agentic AI platforms that perceive reason plan and act across complex workflows. You will lead and influence engineers across the organization and collaborate cross-functionally to deliver production-grade AI agent systems and infrastructure.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams contractors and vendors
• Develops secure and high-quality production code and reviews and debugs code written by others
• Drives decisions that influence the product design application functionality and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied addition demonstrated coaching and mentoring experience
• 8 years of software engineering experience with 3 years focused on AI/ML systems and at least 2 years in a technical lead staff or principal-level individual contributor role.
• Deep hands-on experience building agentic AI systems including multi-agent orchestration tool-use chains planning/reasoning loops and memory architectures.
• LLM Proficiency: Strong working knowledge of large language models (GPT-4 Claude Gemini Llama Mistral) including prompt engineering fine-tuning and evaluation methodologies.
• Expert-level proficiency in Python; strong experience with frameworks such as LangChain LangGraph AutoGen CrewAI Google ADK or equivalent.
• Experience with cloud platforms (AWS Azure GCP) containerization (Docker Kubernetes) and CI/CD pipelines for ML/AI workloads.
• Proficiency with vector databases (Pinecone Weaviate Qdrant pgvector) embedding models and RAG architectures.
• Strong foundation in distributed systems API design microservices and event-driven architectures.
• Ability to tackle design and functionality problems independently with little to no oversight
• Experience in Computer Science Artificial Intelligence Machine Learning or a related technical field

Preferred qualifications capabilities and skills

• Experience deploying autonomous agents in production at scale (enterprise or consumer-facing).

• Familiarity with reinforcement learning from human feedback (RLHF) and reward modeling for agent alignment.

• Experience with multi-modal AI systems (vision voice code generation).

• Contributions to open-source agentic AI frameworks or published research in related areas.

• Knowledge of AI safety alignment research and responsible AI practices.

• Experience with observability and evaluation tooling for AI agents (e.g. LangSmith).

• Background in domain-specific agent applications such as DevOps automation customer support data engineering or security operations.