Senior Lead Cloud AI/ML Engineer

Fairygodboss; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorganChase is seeking a Senior Lead Software Engineer to join the Corporate Sector - CFS Cloud Enablement Team. You will be part of an agile group delivering trusted market-leading technology products in a secure, scalable way, focusing on AI/ML pipelines, workflow automation, and cloud-native solutions across AWS, Azure, and GCP.

The role requires deep expertise in AWS services, Terraform, and AI-assisted development, with responsibilities spanning architecture, production deployment, and

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 with production-grade AI/ML and automation solutions.
• Advanced proficiency in Python.
• Advanced knowledge of AI/ML frameworks and tooling and their operationalization in cloud environments.
• Deep expertise in AWS cloud services related 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 governance/ways of working, measuring outcomes, and secure handling of inputs/outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and risk 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 GitHub Copilot and 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.
• Serves 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.
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices - championing AWS Well-Architected principles, Terraform module reuse, and responsible AI/ML governance.
• Influences peers and project decision-makers to evaluate and adopt leading-edge technologies including LLMs, agentic AI frameworks, and cloud-native automation services (e.g., AWS Step Functions, EventBridge, SageMaker, Bedrock).
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations and ensures secure reuse of patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams.

Skills

Python

AI/ML

AWS

Terraform

CI/CD

GitHub Copilot

Cloud security

IaC

Tools

SageMaker

EventBridge

Step Functions

Bedrock

Lambda

EC2/ECS

Kubernetes

Job description

JPMorganChase is seeking a Senior Lead Software Engineer to join the Corporate Sector - CFS Cloud Enablement Team. You will be part of an agile group delivering trusted market-leading technology products in a secure, scalable way, focusing on AI/ML pipelines, workflow automation, and cloud-native solutions across AWS, Azure, and GCP.

The role requires deep expertise in AWS services, Terraform, and AI-assisted development, with responsibilities spanning architecture, production deployment, and