Senior Generative AI Architect & Strategy Lead

Infosys; Oslo; On-site; NOK 1,200,000 - 2,300,000; Full time

Benefits offered by this job

Bonus

Job summary

Infosys in Oslo, Norway seeks a Senior AI Evangelist to lead generative and agentic AI initiatives, shaping strategy and selecting models. You will collaborate with cross-functional teams to deliver enterprise-grade AI solutions, emphasizing MCP-driven integrations and scalable architectures.

The role requires deep GenAI expertise, strong architecture skills, and experience with LLMs, RAG, and responsible AI practices in a cloud-enabled environment.

Qualifications

• Deep knowledge of Generative AI techniques and LLMs.
• Experience with agentic AI design patterns and multi-agent workflows.
• Knowledge of MCP and interoperability standards.
• Ability to design scalable enterprise AI architectures.
• Experience with RAG and knowledge-grounded systems.
• Understanding of eval, governance, and responsible AI.
• Proficiency in Python and AI frameworks.
• Experience with cloud AI platforms and vector DBs.

Responsibilities

• Lead the Generative and Agentic AI technology roadmap.
• Evaluate models, frameworks, and MCP-based integrations.
• Design end-to-end architectures for AI solutions.
• Collaborate with data scientists and engineers.
• Ensure performance and governance of AI systems.

Skills

Generative AI

Agentic AI

MCP Interoperability

Agent Skills

RAG Knowledge

LLMOps

ML Mastery

Python/Frameworks

Architecture Design

Cloud Platforms

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

CrewAI

AutoGen

Pinecone

Job description

Infosys in Oslo, Norway seeks a Senior AI Evangelist to lead generative and agentic AI initiatives, shaping strategy and selecting models. You will collaborate with cross-functional teams to deliver enterprise-grade AI solutions, emphasizing MCP-driven integrations and scalable architectures.

The role requires deep GenAI expertise, strong architecture skills, and experience with LLMs, RAG, and responsible AI practices in a cloud-enabled environment.