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Sr Lead Software Engineer - Cloud​/ML​/GenAI

Job in Plano, Collin County, Texas, 75086, USA
Listing for: JPMorgan Chase
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: 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 and large language models.

  • Extensive experience with ML/DL toolkits and libraries (e.g., Transformers, Hugging Face, Tensor Flow, PyTorch, Num Py, scikit-learn, pandas).

  • Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders.

  • Experience designing experiments, training frameworks, and metrics aligned to business goals.

  • Expertise with at least one major public cloud (AWS, GCP, or Azure) and with containerization/orchestration (Docker/Kubernetes).

  • Strong grounding in data structures, algorithms, ML, data mining, information retrieval, and statistics.

  • Excellent communication skills, with the ability to engage senior technical and business partners.

Preferred qualifications, capabilities, and skills
  • Depth in one or more:
    Natural Language Processing, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis.

  • Additional familiarity with ML frameworks (e.g., PyTorch, Keras, MXNet, scikit-learn).

  • Understanding of financial services or wealth management domains.

  • Desirable:
    Contributions to open-source ML/LLM tooling; certifications in AWS, Azure, GCP, or Kubernetes.

JPMorgan

Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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…

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