About the Role:
The AI Solutions Engineer is a hands-on technical role responsible for designing, building, and deploying AI-driven solutions that improve workforce efficiency, security, and overall productivity. This position works closely with business stakeholders, IT, and functional teams to translate real-world challenges into practical, scalable AI applications.
Operating in a cloud-first enterprise environment, the AI Solutions Engineer integrates AI capabilities into existing business systems and workflows, ensuring solutions are secure, compliant, and production-ready. The role balances strong technical execution with cross-functional collaboration, helping the organization realize measurable value from AI while supporting responsible and sustainable adoption.
Essential Duties
Design, build, test, and deploy AI-driven solutions that support business workflows and improve efficiency, security, and productivity.
Collaborate with business stakeholders and IT teams to gather requirements and translate use cases into functional AI applications.
Contribute to AI solution roadmaps by providing technical input and feasibility assessments.
Develop and maintain prompt libraries, APIs, and integration components for generative AI and LLM-based solutions.
Integrate AI capabilities with enterprise systems and SaaS applications using APIs, automation tools, and cloud services.
Support pilot programs and proof-of-concept initiatives, iterating based on user feedback and performance metrics.
Ensure AI implementations align with established governance, security, and compliance standards.
Monitor solution performance, usage, and cost metrics; optimize for reliability and scalability.
Participate in design workshops, demos, and stakeholder discussions to support solution alignment and adoption.
Stay current with advancements in AI tools, platforms, and frameworks; recommend improvements where appropriate.
Document technical designs, implementation patterns, and best practices to support reuse and maintainability.
Experience & Skills Required
3+ years of professional experience in software engineering, automation, data engineering, or AI/ML solution development within an enterprise environment.
Hands-on experience building and deploying AI, generative AI, or LLM-based solutions in production or pilot environments.
Experience developing solutions leveraging Microsoft 365, Copilot, and the Power Platform (Power Automate, Power Apps) to improve business workflows.
Proficiency in at least one modern programming language commonly used for AI development (e.g., Python, JavaScript/TypeScript).
Experience integrating solutions with enterprise systems and SaaS applications using APIs and automation tools.
Understanding of prompt engineering, retrieval-augmented generation (RAG), embeddings, or similar AI implementation patterns.
Ability to translate business requirements into secure, scalable technical solutions.
Strong problem-solving and communication skills, with the ability to collaborate effectively across technical and non-technical teams.
Tricentis is proud to be an equal opportunity workplace. Qualified applicants will receive consideration for employment without regard to race, color, ethnicity, gender, religious affiliation, age, sexual orientation, socioeconomic status, or physical and mental disability and other statuses protected by law.
Global Sanctions Compliance
We comply with all applicable global sanctions and export control laws. Candidates must not be listed on any government restricted party lists (including OFAC SDN List and U.S. Commerce Department restricted lists) and must certify that their employment would not violate any sanctions or export control regulations. Candidates must notify us of any changes to their status during the application process or subsequent employment.
U.S. Work Authorization:
This role is not eligible for employer-sponsored work visas. Applicants must be authorized to work in the U.S. without current or future sponsorship.