AI Integration Specialist

We are a leading trading platform expanding globally. Our top-rated products have won prestigious industry awards for cutting-edge technology and seamless client experience. We are continuously growing our team to deliver the best.

• 3+ years of proven experience supporting or co-leading cross-functional technology or automation initiatives delivering measurable business improvements.
• Solid working knowledge of AI and LLM concepts, practical use cases, and 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 without formal authority.
• Strong analytical skills 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 details.
• Hands-on experience with delivery and collaboration tools such as Jira and Confluence.

Nice to have:

• Experience in regulated industries such as fintech or payments, especially within strict information security environments.
• Hands-on experience with LLM platforms and applied use cases like retrieval-augmented generation (RAG), automated classification, or AI copilots.
• Background in vendor evaluation, risk assessment, procurement, privacy reviews, and contractual considerations such as DPAs and SLAs.
• Habit of tracking AI trends practically and translating developments into internal improvements.

• Continuously improve the AI interaction experience for company employees by 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 with clear KPIs and baseline-to-target measurement.
• Lead 1–2 small-to-mid initiatives end-to-end: from opportunity assessment and PoC through pilot, rollout support, and post-launch performance tracking.
• Contribute to AI governance alongside Security, Compliance, and Legal, applying policies and maintaining checklists and standards for data handling, access controls, logging, and vendor usage.
• Support evaluation and onboarding of external AI vendors and partners: collect requirements, coordinate demos and pilots, participate in due diligence, and summarize ROI findings with recommendations.
• Align stakeholders and keep delivery moving: facilitate working sessions, document decisions, surface blockers early, and provide transparent status updates.
• Produce clear 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 final solutions, and confirm satisfaction post-launch.

Workation benefit includes 30 extra days to work remotely from anywhere in the world with some restrictions.