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 Gen AIOps
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, Git Hub 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 Open AI, Open AI, Claude
Strong experience in designing Gen AI systems
Strong experience in designing Agentic AI systems (any of the framework below)
Lang Chain, Lang Graph,



Crew AI 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
Postgre SQL, Snowflake
Expertise in Vector Databases
Pinecone, Chroma DB, FAISS
Strong experience in Gen AIOps / Agent Ops frameworks
Experience with at least TWO cloud platforms
AWS, Azure, GCP (mainly on Azure and AWS)
Experience with microservices, security and scalable architectures
Robust 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, Num Py
Advanced expertise in Deep Learning
Tensor Flow, Py Torch
Experience building AI Centers of Excellence (Co E)
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

📌 Ai architect (Bengaluru)
🏢 Tieto
📍 Bengaluru