SOLUTION ARCHITECT

HCL Technologies; Oslo; Hybrid; NOK 900,000 - 1,200,000; Full time

Job summary

A leading technology company is seeking an AI Governance Technical Lead in Oslo. The ideal candidate will lead the design and implementation of AI solutions, manage teams, and ensure responsible AI practices. A strong background in AI/ML development and proven experience in technical leadership are essential for this role. Flexible work arrangements and global travel may be required.

Qualifications

• Proven experience in leading AI/ML solution design.
• Strong background in AI/ML development including generative AI.
• Experience managing technical teams and mentoring engineers.

Responsibilities

• Lead the design and implementation of AI/ML architectures.
• Manage and mentor AI/ML engineers and data scientists.
• Oversee the full AI/ML software development lifecycle.

Skills

Technical Leadership

AI/ML Development

Team Management

MLOps

Stakeholder Engagement

Education

Advanced degree in AI/ML, Data Science, Computer Science

Tools

Azure AI

AWS SageMaker

Google Vertex AI

Job description

Job Family

Cybersecurity- Consulting

No. of Positions

1

Job Description (Posting)

Job Title

AI Governance Technical Lead E4.2

Key Responsibilities

Technical Leadership and Strategy: Lead the design and implementation of AI/ML architectures and solutions, including generative AI models, across diverse applications.

Provide expert technical direction to AI/ML engineering teams to ensure scalable, high-quality, and robust solutions.

Stay updated on AI/ML advancements, evaluating emerging technologies, frameworks, and tools for enterprise adoption.

Team Management and Mentoring

Manage and mentor AI/ML engineers and data scientists, fostering a collaborative and innovative environment.

Conduct code reviews and provide feedback to uphold coding standards, performance, and best practices.

Cross-Functional Collaboration

Work closely with product managers, data scientists, and business stakeholders to define requirements and translate business needs into technical AI/ML solutions.

Effectively communicate complex technical concepts and project outcomes to both technical and non-technical audiences.

AI/ML Development and Deployment

Oversee the full AI/ML software development lifecycle from design and development to deployment and maintenance.

Ensure production-grade AI models are scalable, efficient, and reliable.

Implement MLOps practices including model versioning, experiment tracking, and automated retraining pipelines.

Responsible AI and Governance

Develop and enforce responsible AI practices aligned with ethical principles and regulatory standards.

Ensure model governance, version control, and auditability across the AI lifecycle.

Essential Qualifications and Skills

Proven experience in leading AI/ML solution design and implementation.

Strong background in AI/ML development, including generative AI and cognitive architectures.

Experience managing technical teams and mentoring engineers.

Deep understanding of MLOps, model deployment, and lifecycle management.

Familiarity with responsible AI principles, governance frameworks, and compliance standards.

Excellent communication and stakeholder engagement skills.

Technical Skills and Knowledge

• AI/ML Development: Generative AI, supervised/unsupervised learning, reinforcement learning


• MLOps: Model versioning, CI/CD for ML, experiment tracking, retraining pipelines


• Responsible AI: Fairness, transparency, accountability, human oversight


• Governance Frameworks: ISO/IEC 42001, NIST AI RMF, EU AI Act compliance


• Cloud & Tooling: Azure AI, AWS SageMaker, Google Vertex AI, model monitoring and audit tools


• Security & Compliance: Model auditability, bias detection, secure deployment practices

Education & Certification

Advanced degree in AI/ML, Data Science, Computer Science, or related discipline.

Preferred certifications:

• Responsible AI & Governance (ISO/IEC 42001, NIST AI RMF)


• Cloud-native AI operation


• MLOps and AI security certifications

Location & Travel

Flexible work model: Office or remote.

Occasional global travel.

Prepare detailed documentation including templates and frameworks for a cybersecurity solution to be proposed.

Carry out scoped studies including Risk analysis, Gap analysis for clients to technical solutions and document the findings and solution.

Ability to write innovatively and present frameworks that are developed for solutions.

Ability to define the opportunity and identify teams based on skills required and derive costing.

Define specific performance measures, targets, and goals to enable clients to measure success; articulate how the metrics contribute to the business case and link to client's overall strategy or mission.

Qualification

Bachelor of Technology/ Engineering, MASTER OF BUSINESS ADMINISTRATION

Employee Group

Business Supp FT

City

Oslo

Entity

CSW

Auto req ID

1629178BR

Expected Date of Closure

>14-Jan-2026

Reporting Manager Designation

PRACTICE LEADER

Skill (Primary)

Data Science-Artificial Intelligence-AI Model Deployment & Management

Skill Level 3 (Secondary Skill 1)

• Domain Competencies-Product Life-Cycle Management-Product Management