AI CoE Lead

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🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 12%

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Logo of SRM Technologies

SRM Technologies

501 - 1000 employees

Founded 1998

📦 Logistics

💼 Consulting

🏭 Manufacturing

Logistics • Consulting • Manufacturing

SRM Technologies is a leading provider of Product Engineering, Automotive Solutions, and Digital Transformation services. With over 25 years of experience, the company specializes in mobility solutions, cloud technologies, data analytics, and artificial intelligence to help enterprises enhance their operational efficiency and innovate their product offerings. SRM Tech focuses on diverse industries such as automotive, healthcare, consumer and retail, telecommunications, and education, leveraging technology to drive business success and agility.

📋 Description

• Drive the architecture, engineering, and deployment of AI-native solutions across Pharma & Life Sciences, HiTech, and BFS • Partner closely with the CTO and Head of Sales • Champion a spec-driven development approach using AI to build rapid prototypes and differentiated functional/technical specifications • Lead, hire, mentor, and scale a team of Forward Deployed Engineers • Translate specifications and prototypes into production-grade software embedded in client workflows • Drive the technical vision and modular expansion of the AI platform across Pharma, HiTech, and BFS • Collaborate on high-stakes enterprise pitches with custom technical architectures, functional specifications, and live prototype demos • Ensure sustained, unprompted daily adoption of models by client teams • Translate client feedback into core specifications and product requirements • Establish best practices for MLOps, model evaluations, data governance, and shared pipelines • Accelerate client go-lives from specifications to deployment in weeks • Act as primary functional authority and build credibility with client C-suite executives, R&D leaders, and business heads

🎯 Requirements

• Demonstrated track record using spec-driven development methodologies • Experience leveraging AI tools, including LLM coders and agentic workflows, to rapidly prototype, specify, and validate complex enterprise software • Proven track record deploying AI/ML solutions in enterprise settings • Deep familiarity with at least one core vertical: Pharma, HiTech, or BFS • Rapid learning agility across additional industry verticals • 2+ years in AI/ML or enterprise software • Proven experience in client-facing engagements from presales through implementation • Working knowledge of AI architecture, LLMs, RAG, NLP, and modern MLOps/data infrastructure • Exceptional ability to translate complex technical specifications and prototypes for C-suite buyers and functional business leaders

🏖️ Benefits

• Equity options • Performance incentives tied to product milestones • Complete ownership of AI product strategy, spec-driven engineering, team scaling, and platform execution

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