Artificial Intelligence Lead
AI/ML, Generative AI
Location
Delhi, Delhi, India
Work type
Hybrid
Employment
Full Time
Experience
10-15 years
Compensation
Compensation not disclosed
Posted
6d ago
Summary and responsibilities
Role overview
Summary
Timus is seeking an experienced AI Lead to spearhead enterprise AI/ML and Generative AI initiatives across large-scale data platforms. This role involves defining AI strategy, architecture, and governance, while collaborating with stakeholders to deliver scalable and secure AI solutions.
Job Overview :
We are looking for an experienced AI Lead to drive enterprise AI/ML and Generative AI initiatives across large-scale data platforms. The ideal candidate will lead AI strategy, architecture, governance, and implementation while collaborating with business and technology stakeholders to deliver scalable, secure, and production-ready AI solutions.
Key Responsibilities :
Define AI/ML strategy, roadmap, implementation approach, and governance framework.
Lead architecture and implementation of AI-driven, ML-driven, and GenAI-enabled solutions.
Align AI initiatives with enterprise data platform strategy, Microsoft Fabric architecture, and business objectives.
Identify and prioritize AI/ML use cases across analytics, automation, forecasting, decision support, and operational intelligence.
Drive MLOps, model lifecycle management, model governance, monitoring, retraining, and Responsible AI practices.
Review AI architecture, prompt engineering strategies, RAG frameworks, embeddings, deployment models, and operational support.
Collaborate with business stakeholders on AI adoption, value realization, and solution direction.
Guide and mentor AI/ML engineers, data scientists, and engineering teams across multiple workstreams.
Ensure AI solutions are scalable, explainable, secure, compliant, and enterprise-ready.
Support documentation for AI solution design, validation, assumptions, limitations, and governance controls.
Required Skills :
Strong experience in AI/ML solution architecture and enterprise AI implementation.
Expertise in MLOps, model lifecycle management, monitoring, and deployment strategies.
Experience with GenAI, LLMs, RAG, embeddings, chatbot architecture, and prompt engineering.
Strong knowledge of cloud AI platforms, APIs, enterprise integration, and scalable AI systems.
Experience in stakeholder management, leadership, and cross-functional collaboration.
Understanding of Responsible AI, model explainability, governance, and compliance frameworks.
Good to Have :
Experience with Microsoft Fabric, Azure AI Services, Azure OpenAI, Azure Machine Learning, MLflow, or Microsoft Purview.
Experience in healthcare, pharma, CRO, clinical research, or regulated environments.
Preferred Qualification :
Bachelors/Masters degree in Computer Science, AI, Data Science, or related field.
Updated 6d ago
Candidate fit
Skills and qualifications
Additional skills
Experience
10-15 years
How this role is positioned
Role classification
Job domains
Industries
Employment
Full Time
Contract duration
Permanent
Hiring type
Direct
Global hiring
Location specific
Offer details
Compensation and benefits
Compensation
Compensation not disclosed
Location, schedule, and role shape
Work setup
Work conditions
Bandwidth profile
Context on the employer
Company snapshot
Company
Timus
Team size
Growing team
Location
Delhi, Delhi, India
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Artificial Intelligence Lead
Delhi, Delhi, India • Full Time