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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy enterprise-scale AI, Machine Learning, Generative AI, and Agentic AI solutions, including AI-powered copilots, intelligent assistants, and autonomous agents.
Architect scalable AI services and Retrieval-Augmented Generation (RAG) solutions integrating embeddings, vector databases, semantic search, and enterprise knowledge repositories.
Lead technical delivery, mentor teams, drive architecture, engineering standards, AI best practices, and collaborate with stakeholders to define AI roadmaps and deliver high-impact AI solutions.
Minimum Requirements
6–10 years of experience in AI/ML, Data Science, or enterprise software development required.
Strong programming skills in Python, SQL, and API development mandatory.
Experience with Generative AI, LLMs, Agentic AI frameworks (e.g., LangChain, LlamaIndex), cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, CI/CD practices, and MLOps/LLMOps required.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or related field required.
Ideal Candidate Profile
Experienced in architecting and deploying production-grade Generative AI, LLM-powered, and Agentic AI solutions at scale within enterprise environments.
Demonstrated leadership in managing technical delivery, mentoring engineers, and driving AI innovation through reusable frameworks and accelerators.
Strong cross-functional collaboration skills with product, data science, architecture, and business teams to translate complex challenges into scalable AI solutions.