Lead – Artificial Intelligence (AI)

The Lead – AI will spearhead AI-driven transformation initiatives across multiple client accounts. This role requires strong hands-on expertise in machine learning, generative AI, and solution architecture, along with the ability to work closely with global clients to define use cases, deliver PoCs, and scale them into production-ready solutions tailored for business outcomes.

Key Responsibilities

• Lead AI project execution for enterprise clients in varied domains (BFSI, Retail, Healthcare, Manufacturing etc.)
• Architect secure, scalable, and maintainable AI solutions leveraging cloud services and MLOps frameworks.
• Manage AI CoE functions including capability building, framework development, and reusable components.
• Conduct discovery workshops with clients to identify high-value AI opportunities and propose innovative solutions.
• Build and operationalize RAG, LLM fine-tuning, NLP, and Computer Vision models.
• Collaborate with data engineering teams to ensure robust data ingestion, transformation, and governance.
• Drive documentation, compliance, testing, performance optimization, and SLA adherence.
• Mentor team members and support talent acquisition for the AI practice.
• Participate in pre-sales: solutioning, estimations, RFP responses, case study creation.

Required Skills & Qualifications

• Bachelor’s/Master’s in Computer Science, AI, Data Science, or related field.
• Strong expertise in Python, ML/DL frameworks (PyTorch, TensorFlow, Scikit-Learn).
• Hands-on experience with Generative AI, embeddings, vector databases, prompt engineering.
• Proven delivery experience in IT Services client-facing environment.
• Proficiency in AWS / Azure / GCP AI services, containerization: Docker & Kubernetes, and CI/CD.
• Solid understanding of ML lifecycle, MLOps, and production deployments.

Preferred Skills

• Experience working on multi-region, enterprise-grade AI workloads.
• Knowledge of LangChain, Hugging Face, OpenAI ecosystem.
• Familiarity with Responsible AI frameworks, data ethics & model interpretability.
• Certifications: Azure / AWS AI / GCP ML Engineer (advantageous).

Key Performance Indicators (KPIs)

• Successful delivery & client satisfaction (CSAT/NPS)
• Business value realization through deployed AI solutions
• Reusable accelerator creation & AI portfolio expansion
• Upskilling and team capability enhancement

Why Join Us?

• Work with global clients solving real business challenges
• Opportunity to drive innovation with cutting-edge AI technologies
• Build & lead a rapidly growing AI capability within the organization
• Onsite Opportunity

Job Types: Full-time, Permanent

Pay: ₹250,000.00 - ₹300,000.00 per month

Benefits:

• Flexible schedule
• Health insurance
• Leave encashment
• Life insurance
• Provident Fund

Work Location: In person