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Specialized OpenAI expertise and seniority reduce applicant density despite generalist AI/ML title.
Advanced OpenAI and agentic AI requirements narrow candidate fit across industries.
Multiple mandatory OpenAI platform skills and enterprise ML architecture requirements create rigid screening filters.
Lead design, development, and deployment of enterprise-grade AI solutions using OpenAI's full platform stack.
Architect scalable agentic AI systems, Retrieval-Augmented Generation (RAG) pipelines, and multi-model workflows.
Deliver measurable business impact within Zensar's Data Engineering & Analytics service line.
Deep expertise and hands-on mastery of OpenAI's full platform stack, including GPT-4o, o-series reasoning models, Assistants API, Function Calling, and Fine-Tuning.
Strong ML engineering fundamentals.
Work Experience Required: Not explicitly mentioned in the JD.
Degree requirements or location constraints: Not explicitly mentioned in the JD.
Senior individual contributor capable of architecting complex AI systems and multi-model workflows.
Experience with scalable AI system design focused on real business impact.
Domain expertise in AI/ML engineering with emphasis on advanced OpenAI technologies and data engineering/analytics.