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AI Compliance Lead

• Work model:

  Remote Poland

• Language:

  English (B2), English (C1)

• Serve as the operational backbone of Responsible AI delivery, ensuring every AI & Data solution is compliant by design, technically enforceable, and audit-ready.

  This role designs and implements Responsible AI and compliance controls by translating global regulatory frameworks (EU AI Act, ISO 42001, NIST AI RMF) into practical, code-level guardrails embedded directly into AI platforms, pipelines, agents, and delivery accelerators enabling teams to move fast without creating regulatory or trust debt.

  The role is intended for a hands-on data scientist or ML systems professional who builds compliance into systems, not just documentation.

• Core Responsibilities:

  Regulatory Translation & Delivery Standards:

  • Translate and implement Responsible AI principles and regulatory requirements (EU AI Act, ISO 42001, NIST AI RMF, GDPR) into concrete, technical controls embedded in AI systems.
  • Convert regulatory policies into code level requirements, configuration standards, and delivery constraints used by data scientists and engineers.
  • Maintain regulatory intelligence and continuously update implementation patterns, templates, and guardrails as legislation and standards evolve.

  Compliance-by-Design Engineering:

  • Design and implement compliance mechanisms directly in AI systems, including:
    • LLM gateways and model routing logic
    • RAG pipelines (data provenance, grounding, citation enforcement)
    • Agent workflows (tool access control, autonomy limits, escalation rules)
  • Build and maintain reusable compliance components within:
    • AI platforms and accelerators
    • Agent and RAG starter templates
    • Shared libraries and configuration standards
  • Ensure compliance controls are automated, testable, measurable, and reusable across use cases.

  Model & System Evaluation:

  • Design and implement risk based evaluation patterns for AI models and systems.
  • Apply proportionate evaluation depth based on use case risk and exposure.
  • Run and integrate core evaluations where required:
    • Performance and reliability
    • Bias and fairness
    • Robustness or misuse risks for higher risk systems
  • Ensure evaluation results are logged, versioned, and traceable to deployed systems.
  • Support teams in translating evaluation results into concrete mitigation actions.

  Oversight & Review:

  • Perform pre go live compliance checks for external facing or higher risk AI systems.
  • Identify and resolve regulatory or ethical risks early in delivery, prioritizing design changes over documentation.
  • Ensure audit readiness by design through system generated evidence (model cards, risk logs, evaluation summaries).
  • Support post deployment reviews on a risk triggered basis.

  Training & Enablement:

  • Develop lightweight, implementation first playbooks enabling teams to self serve Responsible AI for standard use cases.
  • Create reusable assets (decision trees, checklists, do / don’t rules) derived from delivery experience.
  • Support workshops or client discussions selectively, where it accelerates adoption or risk alignment.

  Partnership & Escalation:

  • Act as the operational bridge between Delivery Teams, Legal, Security, and the central Responsible AI function.
  • Escalate high risk or novel cases while preserving day to day autonomy for delivery squads.
  • Support alignment on risk decisions without slowing delivery velocity.

• Ideal Profile:

  • Data scientist or ML systems professional by background, with hands on experience building or operating AI systems.
  • Strong understanding of RAG pipelines, LLM agents, model lifecycle, logging, and evaluation.
  • Proven ability to implement Responsible AI and compliance controls directly into AI systems, not only document them.
  • Strong knowledge of EU AI Act, ISO 42001, and NIST AI RMF (certifications such as IAPP AIGP or ISO 42001 Lead Implementer are a plus).
  • Excellent communicator, comfortable working with engineers, legal teams, and business stakeholders.
  • System thinking mindset: build once, reuse everywhere, measure impact.
  • Collaborate directly with delivery teams and, clients to understand business context and intended AI use cases, translating them into clear technical requirements, architectural constraints, and system-level guardrails.
  • Act as a design-time sparring partner for engineers, data scientists, and technical leads, helping shape compliant system architectures by grounding decisions in risk, regulatory expectations, and system behavior.
  • Support pre-delivery and delivery-phase discussions to align on risk posture early, preventing downstream rework, regulatory debt, or misaligned client expectations.
  • Enable pragmatic trade-offs between innovation velocity and compliance by applying proportionate, risk-based controls aligned with use case exposure and business impact.
  • Reinforce client and stakeholder trust by demonstrating how Responsible AI and compliance are embedded directly into AI platforms, pipelines, and delivery accelerators.

• Perks and benefits:

  • Comprehensive benefits – enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
  • Career growth – access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more.
  • Global collaboration – work with a diverse, international team.
  • Innovative environment – be part of a forward-thinking and growth-oriented workplace.
  • Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
  • Team-building events including our company tradition (annual company event in Mazury).
  • A pleasant surprise to start your journey with us in the form of a welcome pack.