Sr Lead Software Engineer - AWS - Lead AI/ML Platform Engineer

About the role

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer within the Firmwide AI/ML Deployment Platform team, you are part of a globally distributed team spanning Glasgow, London, New Jersey, and India. You will architect, build, and own the infrastructure that enables model deployment at scale, operating with significant autonomy. This includes owning technical direction, engaging directly with US-based clients, and making architectural decisions with real production consequences. The platform evolves continuously, addressing new regions, failure modes, and scale requirements. If you enjoy owning problems end-to-end, making hard tradeoffs, and shipping systems that other engineers build upon, this role is for you.

Responsibilities

• Drive architectural vision for platform components: control plane integration, multi-region deployment, and disaster recovery.
• Design and implement APIs for retraining, scheduling, endpoint deployment, and autoscaling.
• Build infrastructure for seamless integration across control plane and client accounts.
• Engage directly with US-based clients on requirements, strategic solutioning, and debugging.
• Make independent architectural decisions and own technical tradeoffs with minimal oversight.
• Provide technical guidance and direction to support the business, its technical teams, contractors, and vendors.
• Drive decisions influencing product design, application functionality, and technical operations.
• Drive adoption and governance of approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis).
• Establish measurable validation standards (secure coding, peer review, automated testing) and promote reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve value realized by automation at scale.

Requirements

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Industry experience as a platform engineer, leading large-scale platform infrastructure delivery.
• Deep AWS expertise covering networking (VPCs, DNS, cross-account connectivity, service mesh), scalability, multi-account architectures, and security.
• Strong hands-on proficiency in Golang or Python.
• Advanced Terraform and HCL skills including module design, state management, and multi-region, multi-account delivery.
• Production experience with Kubernetes / EKS at scale.
• Hands-on experience with AWS Sagemaker for model deployments and inference.
• Strong DevOps background with complex CI/CD pipelines, infrastructure automation, and deployment strategies.
• Self-directed: ability to make architectural decisions and drive outcomes with minimal oversight.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) and setting team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.

Preferred Qualifications

• Experience with LLM model benchmarking, evaluation, and performance optimization.
• Comfort with ambiguity and greenfield architecture where no existing playbook applies.
• Security expertise including threat modeling, secure infrastructure design, and compliance in cloud-native environments.
• Industry-recognized certifications (e.g., AWS Solutions Architect, AWS DevOps Engineer).

Benefits

• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

Additional details about total compensation and benefits will be provided during the hiring process.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and many of the world's most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years, and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.