Lead Software Engineer - Python/AI/AWS
Lead Software Engineer - Python/AI/AWS
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1 Vacancy
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer - Python/AI/AWS at JPMorgan Chase within the Connected Commerce technology team you will play a crucial role in an agile environment focusing on the enhancement development and delivery of reliable market-leading technology products that are secure stable and scalable.
Job responsibilities
- Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality prototypes and proof-of-concepts that demonstrate the potential of AI applications in financial domain.
- Translate requirements into technical specifications and designs incorporating machine learning models.
- Design and architect end to end solutions in AI domain from Pattern matching Chatbot implementation and using GenAI.
- Proactively identifies opportunities for AI implementation and recommends optimal solutions for specific use cases
- Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Advanced in one or more programming language(s) Python and AWS deployment
- Strong understanding of Generative AI concepts and applications Large Language Models (GPT BERT etc.)
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of CI/CD Application Resiliency and Security
- Experience with LLM & Prompt Engineering including tools like LangChain LangGraph and Retrieval-Augmented Generation (RAG) Vector Database and AI Agents
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience in AWS including Sagemaker
- Proficiency in building machine learning and pipelines that use Generative AI models on AWS
Preferred qualifications capabilities and skills
- Familiarity with agile development methodologies
Employment Type
Full-Time
