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Job Description
Structured overview of role & requirementsAbout This Role
Design and deliver production-grade generative and agentic AI solutions on AWS and Snowflake, focusing on Retrieval-Augmented Generation and intelligent agents.
Develop secure, containerized backend services, APIs, and document ingestion pipelines supporting enterprise data and AI models.
Lead technical practices including security, responsible AI, observability, reliability, cost-management, and mentor engineering teams.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, Engineering, or related field.
8+ years of experience in software/cloud engineering or AI/ML fields.
Proven production experience with generative AI and agentic AI solutions on Amazon Web Services.
Strong proficiency in Python, API development, secure software engineering, containerized services, and hands-on experience with Amazon Bedrock, SageMaker, and related AI orchestration frameworks.
Ideal Candidate Profile
Experienced in enterprise AI with focus on scalable, secure AI solutions integrating AWS and Snowflake platforms.
Capable of providing technical leadership, driving responsible AI practices in regulated, complex environments (pharma/healthcare a plus).
Skilled in building end-to-end AI workflows including retrieval, multi-agent orchestration, compliance, and operational handover.