We are seeking an experienced and visionary AI Lead to spearhead our AI innovation and product development. The ideal candidate will be a hands-on leader with a strong background in solution architecture, a proven track record in developing AI-based products, and deep expertise in Generative AI applications, including Agentic AI. This role requires a comprehensive understanding of AI models, frameworks, and Agentic AI, along with exposure to GPU infrastructure, to design, build, and deploy scalable AI solutions.

You will drive our AI strategy, lead cross-functional teams, and transform complex ideas into tangible, market-ready products, with a strong understanding of enterprise requirements from a professional services perspective.

Key Responsibilities :

Strategic Leadership & Innovation :

- Define and drive the AI innovation roadmap, identifying emerging trends in AI, Generative AI and Agentic AI.

- Lead research, evaluation, and adoption of new AI models, algorithms, and frameworks.

- Foster a culture of continuous learning, experimentation, and innovation.

AI Product Development & Management :

- Lead end-to-end development of AI-based products, from ideation to deployment and optimization.

- Collaborate with product managers, designers, and stakeholders to translate business requirements into viable AI solutions.

- Ensure successful delivery of high-quality, scalable, and performant AI products.

- Client Engagement & Solutioning

Work with multiple clients to understand requirements, design tailored AI solutions, develop proofs-of-concept (POCs), and ensure successful implementation in a professional services context.

Solution Architecture & Design :

- Design robust, scalable, and secure AI solution architectures across multi-cloud platforms and on-premise infrastructure.

- Provide technical guidance and architectural oversight for AI initiatives, focusing on optimizing for GPU infrastructure .

- Evaluate and recommend AI technologies, tools, and infrastructure, including Large Language Models (LLMs) and Small Language Models (SLMs) on cloud and on-premise.

Team Leadership & Mentorship :

- Lead, mentor, and grow a team of talented AI engineers, data scientists, and machine learning specialists.

- Conduct code reviews and ensure adherence to coding standards and architectural principles.

- Promote collaboration and knowledge sharing.

Technical Expertise & Implementation :

- Hands-on experience in developing and deploying Generative AI applications (e.g., LLMs, RAG, GraphRags , image generation, code generation), including Agentic AI and Model Context Protocol (MCP).

- Proficiency with Agentic AI orchestration frameworks such as LangChain, LlamaIndex, and/or similar tools.

- Experience with leading LLM providers and models including OpenAI, Llama, Anthropic, and others.

- Familiarity with AI-powered tools and platforms such as Microsoft Copilot, GitHub Copilot etc.

- Strong understanding of various machine learning models (deep learning, supervised, unsupervised, reinforcement learning).

- Experience with large datasets, ensuring data quality, feature engineering, and efficient data processing for AI model training.

- Deep understanding of GPU infrastructure, for AI model training or/ and inference.

Qualifications :

- Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, or a related quantitative field.

- 8+ years in AI/ML development, with at least 3 years in a leadership or lead architect role.

Mandatory : Proven experience in leading the development and deployment of AI-based products and solutions.

Mandatory :

- Extensive hands-on experience with Generative AI models and frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs, etc.), including practical application of Agentic AI.

- Proficiency with Agentic AI orchestration frameworks such as LangChain, LlamaIndex, and/or similar tools.

- Experience in leveraging and integrating various LLM providers and models, including but not limited to OpenAI, Llama, and Anthropic.

- Familiarity with AI-powered development tools and platforms such as Microsoft Copilot, GitHub Copilot, and other code generation/assistance tools.

- Strong understanding of solution architecture principles for large-scale AI systems, including multi-cloud platforms and on-premise deployments.

Mandatory :

- Exposure to and understanding of GPU infrastructure, especially NVIDIA, for AI workloads.

- Experience with Large Language Models (LLMs) and Small Language Models (SLMs) on both cloud and on-premise environments.

- Proficiency in programming languages such as Python, with strong software engineering fundamentals.

- Familiarity with MLOps practices, including model versioning, deployment, monitoring, and retraining.

Mandatory :
Demonstrated industry exposure to professional services, with a proven track record of working with multiple clients to solution requirements, conduct POCs, and understand enterprise-level needs.

- Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.

- Strong problem-solving abilities and a strategic mindset.

What We Offer :

- Opportunity to work on cutting-edge AI technologies and shape the future of our products.

- A collaborative and innovative work environment.

- Competitive salary and benefits package.

- Professional development and growth opportunities.

- The chance to make a significant impact on our business and our customers.

Work Location : Gurugram(Hybrid)

If you are a passionate AI leader with a drive for innovation and a desire to build groundbreaking AI products, we encourage you to apply!