Lead the design, development, and delivery of Gen AI products and solutions using modern AI frameworks, AWS cloud services, and cloud-native architectures.
Partner with cross-functional teams to build scalable AI applications while driving innovation, governance, and operational excellence.
- Lead and actively contribute to the development of AI products, pilots, and solutions using Python, React, and AWS tools.
- Design, architect, and build scalable Gen AI solutions, including LLM pipelines, Agentic AI, MCP, Graph/RAG architectures, and prompt-based applications.
- Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
- Optimize the performance of AI products.
- Drive continuous learning and experimentation with Gen AI methods, frameworks, APIs, and toolchains.
- Collaborate with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.
- Act as a Subject Matter Expert (SME) on Gen AI technologies and contribute to the organization's AI roadmap.
- Own the end-to-end delivery of Gen AI solutions.
- Manage timelines, deliverables, and project milestones using Agile methodologies (Scrum/Kanban).
- Monitor operational metrics and incident data to drive continuous improvement and reliability.
- Ensure adherence to governance and DevSecOps protocols.
Key Skills
- Gen AI (LLMs, Agentic AI, MCP, Graph/RAG, LangChain, LlamaIndex, Amazon Bedrock)
- Vector & Graph Databases (Weaviate, Milvus, PGVector, Neo4j, Neptune)
EEO Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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