AI Solutions Implementation Specialist

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., * 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.

• 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 clear specifications, workflows, or user stories that engineering teams can act on.

• Working knowledge of generative AI/LLM concepts and enterprise AI copilot tools (e.g., Microsoft Copilot) and how they apply to business problems.

• Basic understanding of data security, privacy, and governance principles as they apply to AI tools (deep security expertise not required).

• Experience collaborating cross-functionally with engineering, product, and business stakeholders; strong written and verbal communication skills.

• No professional software engineering or coding experience is required, though comfort with technical concepts (APIs, data structures, basic logic) is a plus.

Preferred Qualifications:

• Hands-on experience with Microsoft Copilot Studio, Power Automate, Power Apps, or similar internal/low-code AI tooling.

• Familiarity with prompt engineering and practical, real-world applications of LLMs.

• Experience running pilots or proof-of-concepts and measuring tool adoption and impact.

• Exposure to compliance and risk considerations for AI (e.g., data residency, model governance): basic literacy, not expert-level.

Posted Yesterday In-Office or Remote Hiring Remotely in United States 95K-145K Annually Entry level In-Office or Remote Hiring Remotely in United States 95K-145K Annually Entry level Build functional AI prototypes and MVPs using low-code platforms such as Copilot Studio and Power Platform. Translate business needs into technical specifications, user stories, and workflows; partner with engineering to scale validated concepts into production. Roll out AI productivity tools, support go-to-market and customer success workflows, measure adoption and impact, and apply AI security, privacy, governance, and compliance principles while coordinating with product, architecture, legal, and security stakeholders. The summary above was generated by AI

At Loftware, It’s all right there - the scale, the expertise, and the opportunity to grow your career in a business-critical industry., + 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.

• Working for the undisputed global leader in a business-critical industry offers unparalleled possibilities.
• Our team is made up of the most talented, curious, and inspiring people in their fields, each bringing something unique to the table.
• We use the power of the global team.
• We set you up for success. We offer comprehensive training to all employees and place an emphasis on employee development.

We Win with Inclusion

At Loftware, inclusion, diversity, and belonging are paramount to our success and our culture. We are an equal opportunities employer. This means we are committed to recruiting qualified applicants regardless of race, color, religion, age, sex, gender, national origin, disability, or protected veteran status. We believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential.