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: ₹150,000.00 - ₹250,000.00 per month

Benefits:

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

Work Location: In person

📌 Lead – Artificial Intelligence (AI) (India)
🏢 KiwiTech India Pvt. India
📍 India