Lead Software Engineer AI Applications

Salary: $61,000 - 101,000 per year Requirements:

• We need formal training or certification in software engineering concepts plus 5+ years of applied experience.
• We are looking for experience architecting and delivering production large language model applications, including agentic workflows and tool integration patterns.
• We need demonstrated experience leading the effective use of approved AI-assisted software development tools, with the ability to set expectations for validating AI outputs for correctness, performance, and security.
• We require a strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
• We are looking for familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Autogen, CrewAI, and A2A.
• We need experience building retrieval-augmented generation solutions using embeddings, semantic search, grounding, vector databases, and prompt lifecycle/versioning.
• We require strong software engineering fundamentals and the ability to deliver cloud-native services using containers and serverless designs on AWS.
• We need advanced Python programming skills with experience writing production-quality code.
• We are looking for experience building systems using frontier models from OpenAI, Anthropic, or similar platforms through AWS Bedrock, Google Vertex AI, or comparable services.
• We require proven technical leadership skills, including mentoring, driving architecture decisions, and influencing cross-functional stakeholders.
• We need hands-on experience using enterprise-authorized AI-assisted software development tools, with the ability to critically assess, validate, and refine AI-generated outputs for correctness, performance, and security.

• We lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for enterprise workflows.
• We drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• We apply knowledge of software development life cycle tooling, including approved AI-assisted development and automation capabilities, to increase the value delivered through automation.
• We design and build production-grade AI systems, including agents, skills, memory patterns, guardrails, and tool-use orchestration.
• We architect retrieval and context-engineering approaches such as embeddings, semantic search, grounding, summarization, and prompt/version management.
• We engineer cloud-native AI services on AWS using containers, serverless patterns, event-driven messaging, and distributed data stores.
• We optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost control.
• We build well-governed APIs and integrations that connect AI capabilities to enterprise platforms, tools, and business processes.
• We establish evaluation, experimentation, regression testing, and observability frameworks to continuously improve quality and agent behavior.
• We mentor senior engineers and shape engineering direction through code reviews, architecture forums, and cross-team technical leadership.
• We leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity across complex deliverables while validating outputs through peer review, automated testing, and secure coding standards.

• Agentic AI
• AI
• AWS
• Architect
• Cloud
• Support
• Python
• Security
• Serverless
• Kubernetes
• LLM
• Network
• RAG

More:

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. As a Lead Software Engineer within Corporate Technology, we offer an opportunity to shape scalable GenAI applications and agentic AI platforms for finance use cases using firmwide AI tools and platforms. We provide a competitive total rewards package with base salary determined by role, experience, skill set, and location, along with potential commission-based pay or discretionary incentive compensation for eligible roles. Our benefits and programs may include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity and inclusion, offer reasonable accommodations where needed, and place strong emphasis on equal opportunity. Our Corporate Technology team builds applications and supports corporate functions across Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and the Corporate Administrative Office, with a focus on evolving technology needs and technology controls.

last updated 40 week of 2026