Senior AI Engineer & Platform Lead (LLM/Cloud-Native)

Aumni; Jersey City (NJ); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorganChase is seeking a Senior Lead Software Engineer to join the AI/ML Data Platforms team in delivering trusted, market-leading technology services. You will drive hands-on engineering leadership, design agentic AI platforms, and build cloud-native services on AWS with strong observability and governance.

You will collaborate across product, risk, legal and compliance, raise engineering standards through code reviews and documentation, and influence architecture decisions to deliver

Qualifications

• Formal training or certification in software engineering with 5+ years applied experience.
• Strong Python engineering skills with PyTorch or TensorFlow.
• Expertise with vector storage systems and agent design.
• Experience deploying LLM-backed services to production.
• Deep MLOps experience: CI/CD, monitoring, incident response, governance.
• Cloud-native AI deployment on AWS or Azure with cost and performance optimization.
• Commitment to responsible AI and secure engineering practices.
• Strong cross-team communication and collaboration.
• Experience leading agentic AI-enabled development practices.
• Understanding responsible AI, security, data sensitivity, risk governance.

Responsibilities

• Provide technical guidance to business and engineering teams by partnering with external teams to align on priorities, unblock delivery, and drive successful engineering outcomes.
• Develop secure, high-quality production code and lead code reviews; review, debug, and improve code written by others to raise overall engineering quality.
• Drive architecture and design decisions that influence product design, application functionality, and technical operations (including SDLC practices).
• Serve as a subject matter expert in one or more focus areas, helping teams make sound technical trade-offs and resolve complex problems.
• Evaluate and introduce leading-edge technologies where appropriate, influencing peers and decision-makers with clear rationale and risk/benefit analysis.
• Build and operate production-grade LLM applications, including agentic patterns and tool integrations for enterprise use cases.
• Design and deliver cloud-native services on AWS using containers and serverless architectures, with strong attention to scalability and operational resilience.
• Implement retrieval-augmented generation (RAG) solutions, including embeddings, semantic search, and practical context engineering to improve answer quality and control.
• Build reliable service APIs and integrations with a focus on security, performance, and maintainability.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards and promoting reuse.

Skills

Python

PyTorch / TensorFlow

Vector storage

LLM orchestration

APIs / microservices

AWS

Azure

MLOps

Security

Communication

Education

5+ years software engineering experience

Tools

AWS

Azure

CI/CD pipelines

Kubernetes

Job description

JPMorganChase is seeking a Senior Lead Software Engineer to join the AI/ML Data Platforms team in delivering trusted, market-leading technology services. You will drive hands-on engineering leadership, design agentic AI platforms, and build cloud-native services on AWS with strong observability and governance.

You will collaborate across product, risk, legal and compliance, raise engineering standards through code reviews and documentation, and influence architecture decisions to deliver