Experience:

• 15+ years of experience in software engineering with strong AI/ML experience
• Strong expertise in AI architecture and system design
• Extensive experience with LLMs and Generative AI
• Strong experience in designing GenAI systems
• Strong experience in designing Agentic AI systems
• Strong experience designing RAG pipelines and enterprise knowledge systems
• Strong experience in NLP solutions
• Strong SQL expertise
• Experience with enterprise databases
• Experience with at least TWO cloud platforms

Qualification:

• Bachelor’s or Master’s degree in Computer Science, Information Technology or related field

Responsibilities:

• Define enterprise AI strategy and architecture roadmap
• Design end-to-end AI platforms and solutions
• Architect large-scale RAG pipelines and knowledge systems
• Design and govern agentic AI ecosystems and multi-agent platforms
• Define standards for GenAIOps
• Ensure data governance, security, and compliance
• Provide technical leadership and architectural guidance
• Work closely with business stakeholders and global clients
• Evaluate new AI technologies and frameworks

Nice to have:

• Deep understanding of Machine Learning & Data Science
• scikit-learn
• pandas
• NumPy
• Advanced expertise in Deep Learning
• TensorFlow
• PyTorch
• Experience building AI Centers of Excellence (CoE)
• Expertise in multi-agent orchestration at enterprise scale
• Experience with real-time AI systems and streaming architectures
• Kubernetes
• Docker
• distributed systems design
• Knowledge of Responsible AI and regulatory compliance
• Experience advising leadership on AI strategy
• Thought leadership / publications / patents

More skills:

LangGraph, CrewAI, Microsoft Copilot Studio, Azure specific or AWS specific frameworks – MAF, Multi-agent orchestration, ChromaDB, GenAIOps, AgentOps frameworks, microservices, security, scalable architectures