AI/ML Architect (Open)
Jade Global
2 - 5 years
Pune
Posted: 10/01/2026
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Job Description
Job Description
Job Description
Key Responsibilities
- Define and govern end-to-end AI/ML and GenAI architectures aligned with business and enterprise standards
- Evaluate, select, and standardize AI/ML tools, frameworks, and platforms across the organization
- Drive AI/ML and GenAI POCs from ideation to production deployment
- Design scalable solutions for LLMs, RAG-based systems, and agentic / multi-agent architectures
- Establish and lead the AI Center of Excellence (COE), including reference architectures, accelerators, and best practices
- Provide technical leadership, architecture reviews, and solution governance
- Lead training programs, hands-on workshops, and knowledge-sharing sessions for AI/ML teams and stakeholders
- Mentor and coach engineers on AI engineering, MLOps, deployment, and architectural best practices
- Collaborate with business, product, and engineering teams to translate business problems into AI-driven solutions
- Ensure solutions adhere to security, scalability, performance, and Responsible AI standards
Skills Required
- Strong foundation in Machine Learning, Deep Learning, NLP, and Generative AI
- Hands-on experience with multiple LLMs (OpenAI / Azure OpenAI, Gemini, Claude, LLaMA, Mistral)
- Expertise in RAG architectures, embeddings, and vector databases (FAISS, Pinecone, Weaviate, Chroma, Milvus)
- Experience with agentic and multi-agent systems, including MCP / A2A concepts
- Proficiency in modern GenAI frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Google ADK)
- Strong programming experience in Python; API development using FastAPI and Flask
- Experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn)
- Hands-on experience with cloud AI platforms (Azure, AWS, GCP)
- Expertise in deployment, CI/CD, containerization, and MLOps using Docker, Kubernetes, MLflow, Azure ML, SageMaker, or Vertex AI
- Proven experience leading AI teams and COE initiatives
- Strong capability in training, mentoring, and upskilling technical teams
- Ability to define and enforce AI governance, risk, compliance, and Responsible AI practices
- Excellent stakeholder management, communication, and strategic thinking skills
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