Lead AI Engineer

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

• We require formal training or certification in software engineering concepts along with 5+ years of applied experience.
• We look for experience architecting and delivering production large language model applications, including agentic workflows and tool integration patterns.
• We need strong software engineering fundamentals with the ability to build cloud-native services using containers and serverless designs on AWS.
• We expect proficiency in designing distributed systems with asynchronous workflows, durable messaging, and scalable data access patterns.
• We want experience building retrieval-augmented generation solutions, including embeddings, semantic search, grounding, and prompt lifecycle/versioning.
• We value demonstrated ability to implement evaluation and monitoring approaches for model quality, reliability, and safe behavior over time.
• We need strong API design capabilities, including secure integration patterns and reusable platform capability development.
• We look for proven technical leadership, including mentoring, driving architecture decisions, and influencing cross-functional stakeholders.
• We require hands-on experience using enterprise-authorized AI-assisted software development tools in the work environment, with the ability to critically review, validate, and refine AI-generated outputs for correctness, performance, and security.
• We expect understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations.

• We lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for enterprise workflows.
• 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 define engineering standards for reliability, security, and safe AI operation across the platform lifecycle.
• We mentor senior engineers and influence 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, while validating outputs through peer review, automated testing, and secure coding standards.
• We apply knowledge of tools within the software development life cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized by automation.

• Agentic AI
• AI
• API
• AWS
• Architect
• Cloud
• Support
• LLM
• Marketing
• Security
• Serverless
• Kubernetes

More:

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. We are hiring a Lead Software Engineer within Enterprise Technology to build and scale production AI platforms that turn large language model capabilities into reliable, secure, and measurable business outcomes. Our LLM Suite is our premier internally built AI tool, used by our employees for everything from individual productivity to larger-scale business solutions. We offer a competitive total rewards package with base salary based on role, experience, skill set, and location, and eligible roles may include commission-based pay and/or discretionary incentive compensation. We also provide a range of benefits and programs, including comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. We are committed to diversity, inclusion, and equal opportunity, and our Corporate Functions team supports finance, risk, human resources, marketing, and other essential areas that help our businesses, clients, customers, and employees succeed.

last updated 40 week of 2026