Key Responsibilities :

- Design and implement AI/GenAI solutions aligned with client business requirements.

- Work directly with clients to understand business challenges and translate them into technical solutions.

- Lead AI solution discussions, technical presentations, POCs, and client workshops.

- Define the solution architecture, approach, success metrics, and implementation roadmap.

- Guide AI engineering teams and provide technical direction throughout the development lifecycle.

- Review and contribute to AI models, code, architectures, and technical implementations as required.

- Lead deployment, monitoring, optimization, and continuous improvement of AI solutions.

- Identify technical challenges and provide practical, scalable, and business-focused solutions.

- Collaborate with Data, Cloud, Software Engineering, and Business teams for end-to-end delivery.

- Support pre-sales, solutioning, proposals, and client presentations when required.

- Stay updated with emerging GenAI, LLM, Agentic AI, and AI engineering practices and recommend relevant solutions.

- Expertise in Azure AI services, including Azure OpenAI, Azure AI Services, and Azure ML.

Must-Have Qualifications :

- 8 - 12 years of overall experience with at least 4 years of experience in AI/ML, Data Science, Generative AI, LLMs, and NLP.

- Strong hands-on experience with RAG, Agentic AI, LLM applications, prompt engineering, and knowledge graphs.

- Experience with LangChain, Agentic AI frameworks, and orchestration tools.

- Proficiency in Python, Hugging Face, model fine-tuning, evaluation, and optimization.

- Strong understanding of vector databases, embeddings, and semantic search.

- Experience in AI solution architecture, POCs, deployment, monitoring, and productionization.

- Ability to translate business requirements into scalable AI solutions and define success metrics.

- Excellent client-facing communication and presentation skills, with the ability to explain complex AI concepts to technical and non-technical stakeholders.

- Experience in technical leadership, mentoring, and guiding AI teams.