Sr. AI Engineer

Location: Noida & Hyderabad

Experience: 8 to 12 Years

No. Of Openings: 2

Job Description

• 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.

Job Specification

• 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.
• Expertise in any one Cloud provider and its AI offerings/services.
• 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.
• Strong problem-solving skills with the ability to debug, optimize, and improve AI systems.