AI/ML Solutions - Engineering Lead
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Job Description
Structured overview of role & requirementsAbout This Role
Lead the design and implementation of scalable AI/ML architectures and reusable components across enterprise platforms, focusing on GenAI, RAG, Agentic AI, and AI platforms.
Deliver end-to-end AI/ML solutions from ideation and PoC to production deployment including MLOps, monitoring, and operational support.
Manage and mentor multidisciplinary teams while collaborating with CTO and platform stakeholders to align architecture with enterprise technology strategy.
Minimum Requirements
15+ years of relevant experience in AI/ML solution architecture and delivery.
Hands-on expertise with GenAI, RAG, Agentic AI, LLM-based solutions, and enterprise AI platforms.
Strong knowledge of cloud platforms, preferably Google Cloud Platform (GCP) and Microsoft Azure.
Degree in Computer Science, Data Science, AI/ML or related field (preferred but not strictly mandatory).
Ideal Candidate Profile
Experienced leader capable of defining and governing enterprise-scale AI architectures and platform strategies across diverse AI domains.
Proven track record of operationalizing AI solutions at scale with expertise in MLOps, LLMOps, CI/CD, and AI governance.
Effective influencer and communicator who works closely with cross-functional teams and executive stakeholders to drive adoption and alignment of AI capabilities.