Sr Lead Software Engineer - Cloud / ML / GenAI

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 at JPMorgan Chase within the Enterprise Technology - Public Cloud Engineering team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

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.

As a Senior Machine Learning and Generative AI Engineer in Public Cloud Engineering, you will lead hands-on architecture, development, and production deployment of ML and LLM-powered solutions.

You'll apply strong engineering practices, rigorous experimentation, and responsible AI methods to deliver high-impact capabilities for our businesses, partnering across a global, multidisciplinary team.

Job responsibilities


* Design and implement end-to-end ML and LLM solutions, from problem framing and data preparation through training, evaluation, deployment, and ongoing optimization.


* Apply modern GenAI workflows, including prompt engineering techniques, tracing, evaluations, guardrails, and safety frameworks to align model behavior with business objectives and risk controls.


* Productionize high-quality models and pipelines on public clouds, leveraging Kubernetes for container orchestration where appropriate.


* Establish robust offline and online evaluation methodologies, including intrinsic and extrinsic metrics (e.g., relevance, safety, latency, cost efficiency), and integrate automated testing/monitoring.


* Collaborate closely with product, platform, security, controls, and business stakeholders across a geographically distributed organization; provide technical mentorship and code reviews.


* Document solution designs and decisions; contribute to reusable components, patterns, and best practices for ML/GenAI in public cloud environments.


* Optimize for cost, performance, and resilience; incorporate data privacy, compliance, and responsible AI considerations throughout the lifecycle.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* MS or PhD in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning; strong background in mathematics and statistics.


* Extensive expertise applying data science and ML to business problems with strong programming in Python and/or Java.


* Hands-on experience with GenAI/LLMs (e.g., GPT, Claude, Llama or similar), including prompt engineering, tracing, evaluations, and guardrails.


* Solid background in NLP and Generative AI; strong understanding of ML and deep learning methods...