AI Architect - Tieto Tech Consulting (m/f/d)

At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Diversity, equity and inclusion (tietoevry.com)

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