C
Capital17d ago

AI Integration Specialist

PolandPoland·WarsawHybridmid
Data ScienceOtherIntegration Specialist
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Quick Summary

Requirements Summary

facilitate working sessions, document decisions, surface blockers early, and provide transparent status updates without waiting to be asked. Produce clear,

Technical Tools
Data ScienceOtherIntegration Specialist
We are a leading trading platform expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing team.
 
We are looking for an AI Integration Specialist to drive the adoption and continuous improvement of AI and automation across Capital.com's internal operations. This is the first role of its kind at Capital.com, and it is designed for someone who thrives in ambiguity, builds with purpose, and measures everything. You will work across business units identifying automation opportunities, leading small-to-mid AI initiatives end-to-end and helping the organization move from ad hoc AI experimentation to a structured, measurable, and governed approach.

This is a high-impact role for a practitioner: someone who can assess, build, ship, and track.
 
  • Continuously improve the AI interaction experience for company employees identifying friction, proposing solutions, and iterating based on real usage data.
  • Audit existing AI tools and automation workflows across assigned business areas to identify inefficiencies, duplication, risks, and high-value opportunities.
  • Build and maintain an AI/automation backlog and roadmap, prioritizing initiatives by impact, effort, and risk: each with clear KPIs and a baseline-to-target measurement approach.
  • Lead 1–2 small-to-mid initiatives end-to-end: from opportunity assessment and PoC through to pilot, rollout support, and post-launch performance tracking.
  • Contribute to AI governance alongside Security, Compliance, and Legal, applying existing policies and helping maintain practical checklists and standards for data handling, access controls, logging, and vendor usage.
  • Support the evaluation and onboarding of external AI vendors and partners: collect requirements, coordinate demos and pilots, participate in due diligence, and summarise ROI findings with a clear recommendation.
  • Align stakeholders and keep delivery moving: facilitate working sessions, document decisions, surface blockers early, and provide transparent status updates without waiting to be asked.
  • Produce clear, audience-appropriate documentation: requirements (PRD/BRD), decision records (ADRs), rollout runbooks, user guidance, and progress reports.
  • Analyse routine tasks with business stakeholders, design AI-based automation, run testing and UAT, deliver the final solution, and confirm satisfaction post-launch.
  • 3+ years of proven experience supporting or co-leading cross-functional technology or automation initiatives that delivered measurable business improvements.
  • Solid working knowledge of AI and LLM concepts, practical use cases, and real limitations, including familiarity with integration approaches such as APIs, workflow automation tools, iPaaS, or basic RPA solutions.
  • Ability to move initiatives forward through collaboration and clear communication, even without formal authority over the teams involved.
  • Strong analytical skills: able to define success metrics, set baselines, and measure outcomes across time saved, cost reduction, quality improvements, and risk reduction.
  • Clear written and verbal communication in English: comfortable translating between business needs and technical implementation details for both audiences.
  • Hands-on experience with delivery and collaboration tools such as Jira, Confluence, or equivalent.
  • Experience working in a regulated industry such as fintech or payments, particularly within strict information security environments.
  • Hands-on experience with LLM platforms and applied use cases such as retrieval-augmented generation (RAG), automated classification, or AI copilots for business processes.
  • Background in vendor evaluation, risk assessment, and procurement, including privacy reviews and contractual considerations such as DPAs and SLAs.
  • A habit of tracking AI trends at a practical level and translating relevant developments into concrete internal improvements.
  • Location & Eligibility

    Where is the job
    Poland
    Hybrid within the country
    Who can apply
    PL
    Listed under
    Poland

    Listing Details

    Posted
    April 13, 2026
    First seen
    April 13, 2026
    Last seen
    April 30, 2026

    Posting Health

    Days active
    16
    Repost count
    0
    Trust Level
    30%
    Scored at
    April 30, 2026

    Signal breakdown

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    C
    AI Integration Specialist