Sr Lead Software Engineer - Cloud / ML / GenAI
On-site · Plano, Texas, United States
Job Summary
Senior Lead Software Engineer in JPMorgan Chase's Enterprise Technology - Public Cloud Engineering. Lead hands-on architecture, development, and production deployment of ML and GenAI solutions across public cloud environments, with emphasis on prompt engineering, model evaluation, governance, and scalable deployment using Kubernetes. Collaborate with cross-functional teams to deliver cost-efficient, secure, and high-performance ML/GenAI capabilities; mentor engineers; document designs and best practices; ensure responsible AI, privacy, and compliance considerations throughout the lifecycle. Requires advanced degree and 5+ years of relevant experience, strong Python/Java, experience with GenAI/LLMs, NLP, ML/DL tooling, and cloud/containerization expertise. Location: Plano, TX.
Required Qualifications
- 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
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.