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:

- 4-6 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
- Solid 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

📌 AI Lead (Kalyani Nagar)
🏢 Teleglobal International
📍 Kalyani Nagar