JPMorganChase · 20 hours ago
Sr Lead Software Engineer - Gen AI, Java FS/Python
JPMorgan Chase is a leading financial services firm dedicated to helping customers achieve their financial goals. As a Senior Lead Software Engineer, you will drive the development of generative AI solutions, enhancing user experiences and delivering reliable technology products in a secure and scalable manner.
Asset ManagementBankingFinancial Services
Responsibilities
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, opportunity, inclusion, and respect
Designs and implements generative AI models including large language models, multimodal systems, and specialized domain-specific models
Builds scalable, robust AI infrastructure capable of handling enterprise-level workloads. Designs efficient data pipelines for model training and inference, implements MLOps practices for continuous integration and deployment, and ensure system reliability through comprehensive monitoring and testing frameworks
Qualification
Required
Formal training or certification on software engineering concepts and 5+ years applied experience
5+ years of hands-on experience in AI/ML development
Proficiency in Python, SQL, JavaScript/TypeScript, Go or Rust ML
Proficiency in PyTorch, TensorFlow, and modern ML frameworks, Hugging Face Transformers, LangChain
Experience in Infrastructure, AWS/Azure/GCP, Docker, Kubernetes, MLflow, Weights & Biases
Deep understanding of transformer architectures, attention mechanisms, and neural network optimization techniques
Proven experience working with large language models including GPT, Claude, LLaMA, or similar architectures. Hands-on experience with fine-tuning techniques, prompt engineering, and model evaluation methodologies. Familiarity with vector databases, embedding models, and retrieval systems for RAG implementations
Demonstrated ability to deploy AI models in production environments with considerations for latency, throughput, and cost optimization. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies. Understanding of model serving frameworks and API development
Advanced degree in Computer Science, Machine Learning, or related field
Preferred
Experience with distributed training and large-scale model development
Knowledge of AI safety, alignment, and responsible AI practices. Background in specific domains such as natural language processing, computer vision, or multimodal AI
Contributions to open-source AI projects or published research in top-tier conferences
Experience in Vector databases (Pinecone, Weaviate), traditional databases (PostgreSQL, MongoDB)
Experience in Tools & Platforms, Git, CI/CD pipelines, Jupyter notebooks, model serving platforms
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
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
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2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
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