Chase · 14 hours ago
Sr Lead Software Engineer - Cloud / ML / GenAI
8181 Communications Pkwy Bldg F, Plano, TX, 75024, US
Full-time
Onsite
Senior Level, Lead/Staff
5+ years expJPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Senior Lead Software Engineer, you will lead the architecture, development, and deployment of machine learning solutions, driving significant business impact through your technical expertise.
BankingFinancial Services
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
Qualification
Required
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, TensorFlow, PyTorch, NumPy, 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
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
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
Recent News
Financial Sector Technology
2026-02-05
2026-02-05
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