Tietoevry is hiring a Sr. AI Engineers - Tieto Tech Consulting (m/f/d)

Senior AI Engineer (6–8 Years) Description We are seeking a highly experienced Senior AI Engineer to lead the design and development of advanced AI systems for global enterprise clients. This role requires strong expertise in generative AI, agentic AI systems, and production deployment of AI solutions. You will be responsible for building scalable AI architectures, leading project implementations, and mentoring engineers while ensuring high-quality deliverables. Responsibilities Lead design and development of end-to-end AI solutions Build and scale RAG-based systems and LLM applications Design and implement agentic AI and multi-agent systems Develop production-grade AI APIs and microservices Implement multi-agent orchestration using (Anyone) LangGraph, AutoGen, CrewAI, or Semantic Kernel — selecting the right pattern (ReAct, self-reflection, hierarchical delegation, plan-and-execute) per use case Build and maintain MCP (Model Context Protocol) servers; implement A2A (Agent2Agent) integration patterns for enterprise multi-agent environments Deploy and manage AI applications on cloud platforms Optimize performance, latency, and cost of AI systems Mentor junior engineers and conduct code/design reviews Collaborate with stakeholders to translate business requirements into AI solutions Must Have Skills 6–8 years of experience in AI/ML engineering Strong programming expertise in Python Strong experience with LLMs GPT, Gemini, Claude Deep expertise in Agentic AI systems LangChain, LangGraph, CrewAI Strong experience with RAG pipelines, embeddings, and vector search Expertise in Context Engineering, Harness Engineering, Build and maintain evaluation harnesses for RAG quality: accuracy, faithfulness, hallucination rate, context precision and recall, latency Strong experience in NLP applications Chatbots, Sentiment Analysis, Topic Modeling, Q&A systems Strong experience with MLOps MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines Hands-on experience with Docker & Kubernetes Strong SQL skills Experience with databases PostgreSQL, Snowflake Experience with Vector Databases Pinecone, ChromaDB, FAISS Integrate AI agents and pipelines with enterprise systems: REST/GraphQL APIs, event streaming , databases, and document stores Implement security and compliance controls within AI pipelines: PII redaction, output filtering, prompt injection defence, audit logging, and role-based access to AI capabilities Experience with web frameworks Flask, FastAPI, Streamlit Experience with at least one cloud platform AWS / Azure / GCP Agentic Coding tools (any one) – Claude Code, GitHub Copilot Creating skills, Agents, plugins in Agentic Coding tools Experience in model deployment, monitoring, and optimization Strong communication + mentoring ability Bachelor’s or Master’s degree in Computer Science, Information Technology or related field Desirable Skills Multi-cloud experience (AWS + Azure/GCP) Strong foundation in Machine Learning & Data Science scikit-learn, pandas, NumPy Deep Learning expertise TensorFlow, PyTorch Experience with distributed training frameworks Exposure to transformer optimization, RLHF, fine-tuning Experience in large-scale enterprise AI systems Knowledge of AI ethics and explainability Contributions to open-source AI projects