# AI COE Head at VIP India in Mumbai, India - Operations…

> AI COE Head at VIP India in Mumbai, India. Category: Operations Jobs. View full job details and apply now on Confidential Careers.

# AI COE Head

VIP India

## Job Description

Key Responsibilities:

Technical & Hands-on Leadership:

- Lead end-to-end design, development, and deployment of AI/ML solutions across use cases (NLP, CV, predictive analytics, GenAI, recommendation systems).

- Be hands-on with model development, experimentation, training, evaluation, and optimization.

- Architect scalable AI platforms and pipelines (data ingestion, feature engineering, model lifecycle management, MLOps).

- Drive adoption of GenAI/LLMs (prompt engineering, fine-tuning, RAG architectures, AI agents).

CoE Setup & Governance:

- Establish the AI CoE operating model, standards, and best practices.

- Define AI governance, model risk management, ethics, security, and compliance frameworks.

- Create reusable accelerators, frameworks, and reference architectures.

Business & Stakeholder Collaboration:

- Partner with business leaders, product teams, and engineering to identify high-impact AI use cases.

- Translate business problems into AI roadmaps with clear ROI and measurable outcomes.

- Act as a thought leader and advisor on AI strategy across the organization.

Team & Capability Building:

- Build, mentor, and scale a high-performing team of data scientists, ML engineers, and AI engineers.

- Review code, models, and solution design to ensure quality and scalability.

- Upskill teams and drive an AI-first culture across the organization.

Required Skills & Experience:

Experience:

- 15-18 years of overall experience, with at least 1215 years in AI/ML, data science, or advanced analytics roles.

- Proven experience setting up or leading an AI CoE or large-scale AI programs.

- Strong track record of delivering production-grade AI solutions.

Technical Skills (Must-Have):

- Strong hands-on expertise in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).

- Deep understanding of ML algorithms, deep learning, NLP, and generative AI.

- Experience with LLMs (OpenAI, Anthropic, open-source models), fine-tuning, and RAG.

- Solid experience in MLOps, CI/CD for ML, model monitoring, and lifecycle management.

- Strong understanding of data engineering concepts, cloud platforms (AWS/Azure/GCP), and scalable architectures.

Nice to Have:

- Experience in building AI solutions for retail, B2B SaaS or enterprise platforms.

- Exposure to AI governance, regulatory compliance, and responsible AI frameworks.

- Prior startup or GCC experience is a plus.

Leadership & Behavioral Traits:

- Strong hands-on mindset with the ability to go deep into code and models.

- Strategic thinker with execution focus.

- Excellent communication skills and ability to influence senior stakeholders.

- Comfortable operating in ambiguity and building from zero to scale.

Posted September 1, 2026

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