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AI Ops Engineer – Professional Services

🕒 August 13

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Artificial Intelligence

Where this job comes from

Posted on Agiloft's careers page, not through a job board

First seen by Remote Rocketship August 13

Still open on Agiloft's site. Checked 4 hours ago.

Logo of Agiloft

Agiloft

201 - 500 employees

Founded 1991

⚖️ Legal

💼 Consulting

🏥 Healthcare

💰 $45M Private Equity Round on 2020-08

Legal • Consulting • Healthcare

Agiloft is a leading provider of enterprise contract lifecycle management (CLM) solutions designed to streamline and enhance the contracting process. Their Data-first Agreement Platform is a force multiplier that helps organizations reach agreements quickly and collaboratively, leveraging data to operate smarter and more transparently. Agiloft's offerings include integration hubs and an AI platform tailored for business services, healthcare, legal professionals, and procurement. With a high customer retention rate and recognition as a leader in the Gartner Magic Quadrant for CLM, Agiloft is known for its user-friendly no-code interface and robust service and support. The company emphasizes direct relationships and trust, promising to help clients 'Agree and Thrive.

📋 Description

• 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 Professional Services • Provide 1:1 coaching and hands-on support to PS personnel • 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 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 • Perform 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 such as LangGraph, LangChain, Mastra, n8n, or Tines • Experience with AI-assisted development tools such as Claude Code or OpenAI Codex • 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 • Professional Services or enterprise software implementation experience preferred • Experience with configurable low-code/no-code platforms preferred • Familiarity with CLM, LegalTech, or enterprise B2B SaaS preferred • Experience in private equity-backed SaaS companies preferred • Knowledge of enterprise AI governance preferred • Experience working with centralized AI organizations preferred • Familiarity with Lovable, Retool, or similar low-code platforms preferred • Experience using Snowflake or comparable cloud data platforms preferred

🏖️ Benefits

• Healthy work/life balance • Floating holidays • Quarterly, no-questions-asked wellness day • Employee Resource Groups (ERGs)

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