AI Architect

AI Architect (15+ Years)

Description

We are looking for an experienced AI Architect to define and lead AI strategy, architecture, and enterprise-scale implementations for global clients. This role involves designing end-to-end AI ecosystems, including LLM platforms, agentic AI systems, and large-scale data pipelines.

You will drive AI adoption, establish architectural standards, and ensure scalable, secure, and cost-effective AI solutions across the organization.

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
• Expertise in Responsible AI
• Design scalable architectures across multi-cloud environments
• 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
• Agentic Coding tools (any one) – Claude Code, GitHub Copilot

Must Have Skills

• 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
• Azure OpenAI, OpenAI, Claude
• Strong experience in designing GenAI systems
• Strong experience in designing Agentic AI systems (any of the framework below)
• LangChain, LangGraph, CrewAI or any Agentic AI framework
• Microsoft Copilot Studio
• Azure specific or AWS specific frameworks – MAF (Microsoft Agent Framework)
• Multi-agent orchestration
• Strong experience designing RAG pipelines and enterprise knowledge systems
• Strong experience in NLP solutions
• Chatbots, Sentiment Analysis, Topic Modelling, Q&A systems
• Strong SQL expertise
• Experience with enterprise databases
• PostgreSQL, Snowflake
• Expertise in Vector Databases
• Pinecone, ChromaDB, FAISS
• Strong experience in GenAIOps / AgentOps frameworks
• Experience with at least TWO cloud platforms
• AWS, Azure, GCP (mainly on Azure and AWS)
• Experience with microservices, security and scalable architectures
• Strong understanding of data architecture, governance, and security
• Strong leadership and stakeholder management skills
• Bachelor’s or Master’s degree in Computer Science, Information Technology or related field

Desirable Skills

• 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, and distributed systems design
• Knowledge of Responsible AI and regulatory compliance
• Experience advising leadership on AI strategy
• Thought leadership / publications / patents