AI Solutions Implementation Specialist

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AI Solutions Implementation Specialist

Visasponsorshipisnotavailableforthisrole.

The base salary ranges for this position vary by hiring location and are listed below. These ranges represent the good-faith minimum and maximum annual base salary that the organization reasonably expects to pay for this role at the time of this posting.

• United States: USD $95,000 – $145,000 per year , commensurate with experience and qualifications.
• United Kingdom: GBP £70,000 – £100,000 per year , commensurate with experience and qualifications.
• Slovenia: EUR €40,000 – €65,000 per year , commensurate with experience and qualifications.

We are seeking an AI Solutions Implementation Specialist to report directly to the AI Strategy Leader and help bring our AI strategy to life through hands‑on building. This is a builder‑oriented role: you will design and stand up functional prototypes and MVPs using internal, low‑code AI platforms (e.g., Microsoft Copilot, Copilot Studio, Power Platform) and partner closely with engineers to turn validated ideas into scalable, production‑ready features.

This role will contribute to both internal AI adoption. Including building and rolling out AI-driven tools and workflows that boost productivity, and external AI enablement, translating product and business requirements into working prototypes that inform what we build into our SaaS products, in close partnership with product management and engineering.

The AI Solutions Implementation Specialist will be part of a small team coordinating across key stakeholders, including product management, engineering, enterprise architecture, finance & legal, and go‑to‑market and customer success operations, ensuring that the tools and prototypes you build deliver measurable value while maintaining consistency, compliance, and strategic alignment.

The base salary ranges for this position vary by hiring location and are listed below. These ranges represent the good‑faith minimum and maximum annual base salary that the organization reasonably expects to pay for this role at the time of this posting.

• Design, build, and iteratively improve functional prototypes and MVPs for AI use cases using internal, low-code/no-code AI platforms (e.g., Microsoft Copilot, Copilot Studio, Power Platform, or similar).
• Translate business and stakeholder requirements into clear technical specifications, user stories, and acceptance criteria that engineering teams can build from.
• Partner with engineers throughout the development handoff, from prototype to production, to ensure validated ideas scale into reliable, supportable features.
• Evaluate, select, and roll out AI-driven productivity tools, running pilots and tracking adoption and measurable impact.
• Support go‑to‑market and customer success teams by building lightweight AI‑assisted workflows (e.g., sales enablement aids, support automation) using internal AI tooling.
• Apply a working understanding of AI data security, privacy, and governance principles when building tools, partnering with the CISO and AI Innovation Committee on anything requiring deeper security review.
• Work with enterprise architects to ensure the tools and models you build on are consistent with approved AI platforms and frameworks.
• Stay current on emerging low-code/no-code AI tooling and enterprise copilot capabilities, sharing opportunities and risks with the broader team.

• Experience building prototypes, MVPs, or internal tools using low-code/no-code platforms (e.g., Microsoft Power Platform, Copilot Studio, or similar).
• Ability to translate business requirements into…