Note: The job is a remote job and is open to candidates in USA. Agiloft is a global leader in data-first contract lifecycle management software and provides AI-enabled, integrated solutions for managing the contract lifecycle. The AI Ops Engineer will build governed AI workflows, agentic solutions, and automation to improve Professional Services implementation efficiency, consultant productivity, and delivery quality. The role will also advise PS leadership, coach AI builders, support adoption, and help shape the organization’s AI roadmap.
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
Skills
- 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
Benefits
- Multiple Employee Resource Groups (ERGs)
- A working environment that supports healthy work/life balance
- Floating holidays
- A quarterly, no-questions-asked wellness day
Company Overview
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