Lead Software Engineer AWS, Python, AIML

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 Bank you 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.

Job responsibilities

• Designs builds and operates AWS-native service engineering solutions including automated provisioning configuration management and lifecycle orchestration (IaC CI/CD self-service workflows) applying creative problem-solving to break down complex distributed-systems issues beyond conventional approaches.
• Develops secure resilient production-grade automation and agentic AI solutions (LLM-based agents integrated with cloud services and enterprise systems) maintaining high-quality code algorithms and event-driven/run-time workflows that operate reliably with dependent platforms and control planes.

• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality delivery speed and operational outcomes (e.g. AI-assisted code review/refactoring test strategy acceleration incident/root-cause analysis support) while establishing consistent validation standards (secure coding peer review automated testing) and promoting reuse of effective patterns across the team.

• Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to improve the value realized by automation.

• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

• Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture

• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

• Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification in software engineering concepts and 5 years applied experience

• experience building AWS-based service engineering provisioning and automation solutions.
• Hands-on experience designing and delivering cloud-native systems (infrastructure applications) including IaC-driven provisioning CI/CD testing observability and operational stability (SRE/operations mindset).
• Proficient in one or more modern programming languages used for automation and cloud services including developing agentic AI integrations where applicable.

• Familiarity with agentic workflows and frameworks (e.g. LangChain LangGraph Auto-GPT)

• Experience integrating AI/ML techniques into software systems including familiarity with LLMs Generative AI NLP RAG AI evals and coding assistants

• Managing and mentoring software engineering or AI/ML teams with experience as a hands-on practitioner delivering production-grade solutions

• Good understanding of data structures algorithms and practical machine learning frameworks (e.g. TensorFlow PyTorch Scikit-Learn)

• Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices system design application development testing and operational stability

• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g. for coding code review test acceleration troubleshooting) with the ability to set 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 engineers on safe compliant adoption within delivery practices

• Experience working at code level with advanced AI/ML business applications (e.g. LLMs Generative AI NLP)

• AWS Certifications (Solution Architect Associate or Professional) are advantageous

• In-depth knowledge of the financial services industry and their IT systems

• Practical cloud native experience