Emric AB
Website:
tieto.com
Job details:
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
Click on Apply to know more.