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AI Lead

Teleglobal International

Pune / Kalyani Nagar

4-6 years

Today

$34.9K–49.4K/yr

Full time

Onsite

Skills Required LLM

RAG

LangChain

Agentic AI

Gen AI

Azure OpenAI Service

Amazon Bedrock Agents

AutoGen

CrewAI

LangGraph

Azure ML

AWS

Azure

Bedrock

Cognitive Services

Description Design and lead the implementation of enterprise AI solutions including Classic ML, Generative AI, and Agentic AI on AWS or Azure, defining AI strategy, architecture patterns, and responsible AI practices.

Role: AI Lead

Location: Kalyani Nagar, Pune

Experience

- 4-6 years
- 5 – 10 years of experience in AI or ML architecture, data science, or ML engineering

Qualification

- Cloud certification – AWS Machine Learning Specialty or Azure AI Engineer Associate

Responsibilities

- Design end-to-end AI or ML solution architectures on AWS or Azure cloud platforms
- 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

Nice To Have

- Experience with multi-agent AI systems and agentic orchestration frameworks such as LangChain, LangGraph, AutoGen, CrewAI, Amazon Bedrock Agents
- Knowledge of responsible AI frameworks and AI governance
- Multi-cloud AI experience

More Skills Classic ML, AWS SageMaker, AWS Bedrock, AWS Rekognition, AWS Comprehend, Azure Cognitive Services, ML frameworks, PyTorch, TensorFlow, scikit-learn, foundation models, prompt engineering, agentic AI patterns, MLOps pipelines, model lifecycle management, data preparation, feature engineering, model evaluation

Prepare for this role

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