AI Enablement Lead

N-iX; Poland; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Remote / flexible work options

Competitive salary package

Career growth opportunities

Mentorship program and tech talks

Centers of Excellence and trainings

Education reimbursement

Corporate events and team buildings

Knowledge sharing communities

Job summary

N-iX is seeking an AI Enablement Lead to drive AI use cases across IT Operations, IS Operations and Governance. You will translate business challenges into practical AI solutions with measurable productivity improvements and coordinate delivery with internal teams and external partners.

The role requires strong AI enablement and governance expertise, with a focus on delivering measurable business value through AI initiatives and cross-functional collaboration.

Qualifications

• Strong experience in AI enablement, AI solution design and AI Architecture.
• Good understanding of AI agents, Retrieval-Augmented Generation, prompt engineering and workflow automation.
• Experience with Azure AI, Azure OpenAI, Microsoft Copilot and Copilot Studio.
• Ability to translate business requirements into feasible technical solutions.
• Strong stakeholder management and communication skills.
• Experience coordinating internal teams and external implementation partners.
• Good understanding of AI governance, security, risk and lifecycle-management requirements.
• Strong analytical skills and experience measuring productivity improvements.

Responsibilities

• Identify and prioritize AI use cases across IT Operations, IS Operations and Governance.
• Translate operational challenges into practical AI solutions together with business and technical experts.
• Define solution concepts, implementation approaches and priorities based on expected productivity improvement.
• Coordinate delivery across internal teams, external providers and the AI Solutions Engineer.
• Ensure alignment with the wider AI initiatives, technology standards, governance and security requirements.
• Drive adoption of implemented solutions within the operational teams.
• Establish baselines and measure the productivity improvements achieved through each use case.
• Maintain the AI use-case roadmap and ensure focus on measurable business value.

Skills

AI enablement

AI architecture

Azure AI

Prompt engineering

Stakeholder management

Governance & security

Team coordination

Productivity measurement

Tools

Azure AI

Azure OpenAI

Copilot Studio

Job description

We are looking for an AI Enablement Lead to join our team! The AI Enablement Lead will drive the identification and implementation of AI use cases across IT Operations, IS Operations and Governance. Working closely with operational teams and the wider initiatives. The role translates business challenges into practical AI solutions with measurable productivity improvements.

Responsibilities:

• Identify and prioritize AI use cases across IT Operations, IS Operations and Governance.
• Translate operational challenges into practical AI solutions together with business and technical experts.
• Define solution concepts, implementation approaches and priorities based on expected productivity improvement.
• Coordinate delivery across internal teams, external providers and the AI Solutions Engineer.
• Ensure alignment with the wider AI initiatives, technology standards, governance and security requirements.
• Drive adoption of implemented solutions within the operational teams.
• Establish baselines and measure the productivity improvements achieved through each use case.
• Maintain the AI use-case roadmap and ensure focus on measurable business value.

Required skills:

• Strong experience in AI enablement, AI solution design and AI Architecture.
• Good understanding of AI agents, Retrieval-Augmented Generation, prompt engineering and workflow automation.
• Experience with technologies such as Azure AI, Azure OpenAI, Microsoft Copilot and Copilot Studio.
• Ability to translate business requirements into feasible technical solutions.
• Strong stakeholder management and communication skills.
• Experience coordinating internal teams and external implementation partners.
• Good understanding of AI governance, security, risk and lifecycle-management requirements.
• Strong analytical skills and experience measuring productivity improvements.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• not applicable for freelancers