Senior Lead Software Architect, AI/ML & Cloud Automation

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in New Jersey seeks a Senior Lead Software Engineer to join the Corporate Sector - CFS Cloud Enablement Team, delivering trusted market-leading technology products securely and scalably.

You will drive end-to-end workflow automation, AI/ML pipelines, and cloud-native solutions on AWS, Azure, and GCP, applying best practices in SDLC, IaC, and governance to production-ready systems.

Qualifications

• Formal training or certification on software engineering concepts and 10+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in Python.
• Advanced knowledge of AI/ML frameworks and tooling and their operationalization in cloud environments.
• Deep expertise in AWS cloud services relevant to automation and AI/ML workloads, including Step Functions, Lambda, ECS/EKS, SageMaker, Bedrock, Glue, EventBridge, and IAM.
• Proficiency in Terraform for infrastructure-as-code, including module development, state management, and multi-environment deployment patterns.
• Experience with GitHub Copilot and AI-assisted development workflows; ability to evaluate, govern, and scale AI coding tools within an engineering team.
• Ability to independently tackle complex design and functionality problems with minimal oversight, driving solutions from ambiguous requirements to production.
• Practical cloud-native experience with strong understanding of security, scalability, resilience, and cost optimization in AWS.
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working, measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and governance.

Responsibilities

• Provides authoritative technical guidance and architectural direction to business stakeholders, technical teams, contractors, and vendors — with a focus on workflow automation, AI/ML platforms, and cloud-native solutions on AWS, Azure and GCP.
• Designs, engineers, and implements end-to-end workflow automation solutions and AI/ML pipelines, from architecture through production deployment.
• Develops secure, high-quality production code; reviews, debugs, and optimizes code written by others — leveraging AI-assisted development practices to accelerate delivery.
• Drives architectural decisions that influence product design, application functionality, and technical operations — including infrastructure-as-code standards using Terraform across AWS environments.
• Acts as a function-wide subject matter expert in AWS cloud architecture, MLOps, workflow orchestration, and intelligent automation.
• Defines and enforces best practices for CI/CD pipelines, IaC (Terraform), model lifecycle management, and automated testing within the SDLC.
• Active contributor to the engineering community — advocating AWS Well-Architected principles, Terraform module reuse, and responsible AI governance.
• Influences peers and project decision-makers to adopt leading-edge technologies including LLMs and cloud-native automation services.
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across teams; establishes measurable expectations and ensures reuse of proven patterns.
• Applies knowledge of SDLC toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and capacity unlock initiatives.

Skills

Advanced Python

AI/ML frameworks

AWS cloud services

Terraform

GitHub Copilot

Security and resilience (AWS)

Multi-team leadership

Tools

GitHub Copilot

Terraform

SageMaker

Job description

JPMorgan Chase & Co. in New Jersey seeks a Senior Lead Software Engineer to join the Corporate Sector - CFS Cloud Enablement Team, delivering trusted market-leading technology products securely and scalably.

You will drive end-to-end workflow automation, AI/ML pipelines, and cloud-native solutions on AWS, Azure, and GCP, applying best practices in SDLC, IaC, and governance to production-ready systems.