Senior Enterprise AI Architect & Governance

EFESO Consulting AB; Stockholms kommun; On-site; SEK 1,100,000 - 1,700,000; Full time

Job summary

EFESO Consulting AB seeks a Senior AI Governance & Architecture Expert to shape and deliver AI-driven transformations for clients. You will combine strategic thinking with deep technical expertise to define scalable AI architectures, governance frameworks and responsible AI adoption across complex enterprise environments.

You will work with client leadership, business stakeholders and technical teams to move from AI experimentation to scalable, secure, and sustainable implementations across

Qualifications

• Significant experience in AI, enterprise architecture, data architecture, or related technology disciplines.
• Strong knowledge of AI governance, responsible AI principles, risk management, and model lifecycle management.
• Proven experience designing scalable architectures for machine learning, generative AI, and enterprise AI applications.
• Strong understanding of large language models, retrieval-augmented generation (RAG), AI agents, and their integration into enterprise environments.
• Experience with cloud-based AI and data platforms, such as Microsoft Azure, AWS, Google Cloud, or Databricks.
• Familiarity with AI governance/regulatory frameworks including EU AI Act, GDPR, ISO/IEC 42001, NIST AI RMF.
• Experience defining technical standards, reference architectures, and implementation roadmaps.
• Strong analytical and problem-solving capabilities, with the ability to translate complex technical concepts into clear business recommendations.
• Excellent communication and stakeholder management skills, with the ability to engage effectively with both technical teams and senior management.
• A pragmatic, solution-oriented mindset balancing innovation, business value and governance.
• Ability to work independently while collaborating with multidisciplinary teams in an international consulting environment.

Responsibilities

• Lead the design and implementation of enterprise AI architectures, ensuring scalability, security, interoperability, and alignment with business objectives.
• Define and establish AI governance frameworks, including policies, standards, risk management processes, and model lifecycle management.
• Guide clients in the responsible adoption of AI, ensuring alignment with regulatory requirements and industry standards such as EU AI Act and GDPR.
• Design architectures supporting traditional ML, generative AI, LLMs, and AI agents.
• Assess existing client technology landscapes and define target architectures and implementation roadmaps for AI adoption.
• Establish standards and best practices for MLOps, LLMOps, model monitoring, and integration of AI solutions into enterprise systems.
• Translate business requirements into technical architecture and governance requirements, working with client leadership and technical teams.
• Evaluate AI technologies, platforms, and third-party solutions, providing recommendations based on business needs and feasibility.
• Provide architectural oversight and technical guidance throughout development and deployment of AI solutions.
• Collaborate with EFESO consultants, data scientists, and client teams to ensure successful project execution and sustainable capability development.
• Act as a trusted advisor to clients on AI adoption, technology investments and enterprise transformation.

Skills

Enterprise architecture

AI governance

MLOps

LLMOps

Cloud platforms

AI systems

Stakeholder engagement

Education

Master's degree in computer science, AI, data science, engineering, information systems, or equivalent

Tools

Microsoft Azure

Azure Machine Learning

Azure AI Foundry

Databricks

AWS

Google Cloud

Job description

EFESO Consulting AB seeks a Senior AI Governance & Architecture Expert to shape and deliver AI-driven transformations for clients. You will combine strategic thinking with deep technical expertise to define scalable AI architectures, governance frameworks and responsible AI adoption across complex enterprise environments.

You will work with client leadership, business stakeholders and technical teams to move from AI experimentation to scalable, secure, and sustainable implementations across