Location– Kalyani Nagar, Pune

Experience– 5-10 Years 

Role Description

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 multiagent 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

HR Email Id: Human.Resource@teleglobals.com