AI Ops Engineer - Professional Services

Agiloft develops contract lifecycle management software. The AI Ops Engineer builds and maintains AI-powered workflows, automation, and tools to improve Professional Services implementation efficiency, consultant productivity, and delivery quality, while supporting AI adoption and governance.

Responsibilities:

• Design, build, and maintain AI-powered workflows, automations, and tooling that improve Professional Services delivery
• Develop agentic workflows, prompt-based tools, and lightweight AI applications using approved platforms
• Translate delivery challenges into prioritized AI solutions in partnership with PS leadership
• Coach and collaborate with PS AI Builders to improve AI delivery maturity
• Monitor, test, document, and continuously improve deployed AI solutions
• Build automation that reduces manual Agiloft configuration, testing, and validation effort
• Evaluate emerging AI technologies and recommend adoption through AI Operations governance
• Develop and deliver training programs to drive AI adoption across the Professional Services organization
• Provide 1:1 coaching and hands-on support to PS personnel to accelerate AI adoption, reinforce best practices, and address project-specific needs
• Help define the AI roadmap for Professional Services
• Serve as the primary AI advisor for PS delivery methodology and tooling
• Represent Professional Services in cross-functional AI initiatives
• Share reusable patterns and best practices across the organization
• Ensure all AI solutions comply with AI Builders Program standards and governance policies
• Register solutions in the AI Build Registry and follow established intake processes
• Partner with AI Operations and the Principal Data & Integrations Architect on architecture, data, and platform alignment
• Communicate project status, risks, and opportunities with PS leadership and AI Operations
• Other duties as assigned

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or equivalent experience
• 2–4 years building AI, automation, or technical implementation solutions
• Strong Python skills for automation, APIs, and AI workflows
• Experience building agentic workflows using LLM frameworks (LangGraph, LangChain, Mastra, n8n, Tines, or similar)
• Experience with AI-assisted development tools (Claude Code, OpenAI Codex, or similar)
• Knowledge of RAG, embeddings, vector databases, prompt engineering, tool use, and agent memory
• Ability to independently design, build, and iterate AI solutions
• Experience working across technical and business stakeholders
• Strong documentation and governance discipline
• SaaS industry experience required
• Passion for applying AI to solve real business problems
• Professional Services or enterprise software implementation experience
• Experience with highly configurable low-code/no-code platforms
• Familiarity with CLM, LegalTech, or enterprise B2B SaaS
• Experience in private equity-backed SaaS companies
• Knowledge of enterprise AI governance
• Experience working with centralized AI organizations
• Familiarity with Lovable, Retool, or similar low-code platforms
• Experience using Snowflake or comparable cloud data platforms
• Interest in AI-driven transformation of Professional Services delivery