Applied AI ML Lead - LLM SUITE ENGINEERING
JPMorganChase
Software Engineering, Data Science
Jersey City, NJ, USA · Wilmington, DE, USA
Build and scale production AI platforms that turn large language model capabilities into reliable, secure, and measurable business outcomes. You will partner across product and engineering teams to design architectures, ship reusable capabilities, and raise quality through strong engineering practices and technical leadership.
As an Applied AI and Machine Learning Lead at JPMorganChase within Enterprise Technology, you will lead the architecture and hands-on implementation of scalable large language model systems and agentic AI platforms for enterprise use cases. You will design cloud-native solutions, establish evaluation and observability standards, and drive technical decisions across teams to improve reliability, cost, and developer velocity.
Job responsibilities
- Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for enterprise workflows
- Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
- Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
- Engineer cloud-native AI services on AWS using containers and serverless patterns, event-driven messaging, and distributed data stores
- Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
- Build well-governed APIs and integrations that connect AI capabilities to enterprise platforms, tools, and business processes
- Establish evaluation, experimentation, regression testing, and observability frameworks to continuously improve quality and agent behavior
- Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle
- Mentor senior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership
Required qualifications, capabilities and skills
- Formal training or certification on applied AI and machine learning concepts and 8+ years applied experience
- Experience architecting and shipping production large language model applications, including agentic workflows and tool integration patterns
- Strong software engineering fundamentals with ability to deliver cloud-native services using containers and serverless designs on AWS
- Proficiency designing distributed systems with asynchronous workflows, durable messaging, and scalable data access patterns
- Experience building retrieval-augmented generation solutions (embeddings, semantic search, grounding) and managing prompt lifecycle/versioning
- Demonstrated ability to implement evaluation and monitoring approaches for model quality, reliability, and safe behavior over time
- Strong API design skills, including secure integration patterns and reusable platform capability development
- Proven technical leadership skills, including mentoring, driving architecture decisions, and influencing cross-functional stakeholders
Preferred qualifications, capabilities and skills
- Experience building standardized evaluation harnesses, automated regression suites, and experimentation platforms for large language model systems
- Hands-on experience with Kubernetes-based deployment patterns and operational excellence practices for high-availability services
- Experience applying privacy, data minimization, and safe AI guardrail patterns in regulated or high-risk environments
- Familiarity with context-efficiency optimization techniques and cost governance for large language model workloads
- Experience building reusable developer platforms, reference architectures, and technical standards across multiple teams
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include 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. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
Lead architecture and delivery of enterprise-grade agentic AI and large language model platforms on AWS.