AI Lead Engineer Experience: 10-15 Years Location: India | Hybrid / Onsite Role Summary We are seeking a highly experienced AI Lead Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Generative AI solutions. The ideal candidate will be responsible for driving AI strategy, defining technical architecture, mentoring engineering teams, and delivering scalable AI-powered applications that create measurable business value.

Responsibilities

- AI Solution Architecture Leadership
- Lead the design and implementation of AI/ML and Generative AI solutions across enterprise platforms.
- Define AI architecture, engineering standards, and best practices.
- Provide technical leadership and mentorship to AI engineers, data scientists, and software developers.
- Evaluate emerging AI technologies and recommend solutions aligned with business objectives.
- Drive innovation and AI adoption across the organization.

- Generative AI LLM Development

- Design and build applications using Large Language Models (LLMs).
- Develop enterprise solutions leveraging Azure OpenAI, OpenAI, Claude, Gemini, or similar platforms.
- Architect and implement Retrieval-Augmented Generation (RAG) solutions.
- Develop AI agents, copilots, intelligent assistants, and document processing solutions.
- Lead prompt engineering, model evaluation, fine-tuning, and optimization initiatives.

- AI Engineering MLOps

- Build scalable AI services, APIs, and microservices.
- Implement model deployment, monitoring, observability, and MLOps pipelines.
- Develop data pipelines to support training and inference workloads.
- Optimize model performance, scalability, reliability, and cost efficiency.
- Ensure AI solutions meet security, governance, and compliance requirements.

- Cloud Platform Engineering

- Deploy and manage AI solutions on Azure, AWS, or GCP.
- Work with vector databases, embeddings, semantic search, and knowledge management platforms.




- Leverage containerization and orchestration technologies such as Docker and Kubernetes.
- Collaborate with enterprise architecture teams to integrate AI solutions into existing systems.

- Stakeholder Delivery Management

- Partner with business leaders and product teams to identify and prioritize AI use cases.
- Translate business requirements into technical AI solutions.
- Lead Agile delivery teams and manage project risks, dependencies, and milestones.
- Present architecture, solution designs, and implementation strategies to stakeholders.

Required Skills

- Strong experience in Python and AI/ML solution development.
- Expertise in Generative AI, Large Language Models (LLMs), Machine Learning, Deep Learning, and NLP.
- Hands-on experience with Azure OpenAI, OpenAI APIs, LangChain, LlamaIndex, Hugging Face, Semantic Kernel, or similar frameworks.
- Strong experience in RAG, Fine-Tuning, Prompt Engineering, AI Agents, and Vector Databases.
- Knowledge of TensorFlow, PyTorch, Scikit-learn, and related AI frameworks.
- Experience in REST APIs, Microservices, Docker, Kubernetes, and CI/CD pipelines.
- Robust cloud experience with Azure, AWS, or GCP.
- Excellent leadership, communication, stakeholder management, and problem-solving skills.

Preferred Skills

- Experience leading enterprise AI transformation programs.
- Knowledge of Responsible AI, AI Governance, Security, and Compliance frameworks.
- Experience with MLOps platforms and model lifecycle management.
- Exposure to healthcare, banking, insurance, or other regulated industries.
- AI, Cloud, or Architecture certifications are preferred.

Key Competencies

- AI Strategy Solution Architecture
- Technical Leadership Mentoring
- Generative AI LLM Expertise
- AI Agent RAG Development
- Machine Learning MLOps
- Cloud Architecture
- Stakeholder Management
- Innovation Problem Solving
- Agile Delivery
- Ownership Accountability

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead I - ML Engineering (Thiruvananthapuram)
🏢 UST
📍 Thiruvananthapuram