AI Lead

Job Title: AI Lead

Location: Kalyani Nagar, Pune

Experience: 4-6 years

Employment Type: Full- Time

Role Summary:

Design and lead the implementation of enterprise AI solutions – spanning Classic ML, Generative AI, and

Agentic AI – on AWS or Azure, defining AI strategy, architecture patterns, and responsible AI practices for

customers.

Key Responsibilities:

• Design end-to-end AI or ML solution architectures on cloud platforms — AWS (SageMaker, Bedrock,

• Rekognition, Comprehend) or Azure (Azure ML, Azure OpenAI Service, Cognitive Services)

• Define AI strategy and roadmaps aligned with customer business objectives covering Classic ML,

  GenAI, and Agentic AI

• Architect GenAI solutions using foundation models, RAG patterns, fine-tuning strategies, and multi

  agent or agentic frameworks

• Design agentic AI architectures including tool use, planning, memory, and orchestration patterns

• Design MLOps pipelines for model training, evaluation, deployment, and monitoring

• Establish responsible AI practices including bias detection, explainability, guardrails, and governance

• Evaluate and recommend AI or ML services, frameworks, and tools for specific use cases

• Lead technical workshops, PoCs, and architecture reviews for AI initiatives

• Collaborate with Data Architects and Data Engineers to ensure data readiness for AI workloads

Required Qualifications:

• 5 – 10 years of experience in AI or ML architecture, data science, or ML engineering

• Deep knowledge of ML frameworks (PyTorch, TensorFlow, scikit-learn)

• Hands-on experience with cloud AI or ML services — AWS (SageMaker, Bedrock) or Azure (Azure ML,

  Azure OpenAI Service)

• Strong understanding of LLMs, foundation models, prompt engineering, RAG architectures, and

  agentic AI patterns

• Experience designing MLOps pipelines and model lifecycle management

• Strong understanding of data preparation, feature engineering, and model evaluation

Preferred Qualifications:

Cloud certification — AWS Machine Learning Specialty or Azure AI Engineer Associate

• Experience with multi-agent AI systems and agentic orchestration frameworks (e.g., LangChain,

  LangGraph, AutoGen, CrewAI, Amazon Bedrock Agents)

• Knowledge of responsible AI frameworks and AI governance

• Multi-cloud AI experience