AI Ops Engineer - Professional Services

11 hours, 25 minutes ago
Full-time
Junior
Artificial Intelligence and Machine Learning
Agiloft

Agiloft

Agiloft is a global leader in Contract Lifecycle Management (CLM) software, automating processes, reducing risk, and driving revenue for over 3 million users worldwide.

Capital Markets
51-250
Founded 1990
$45M raised

Description

  • Design, build, and maintain AI-powered workflows, automations, and tooling for 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 Professional Services 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 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 on AI best practices and project-specific needs.
  • Define the AI roadmap for Professional Services and serve as the primary AI advisor for delivery methodology and tooling.

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, Tines, or similar.
  • Experience with AI-assisted development tools such as 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.
  • Professional Services or enterprise software implementation experience preferred.
  • Experience with highly 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 and experience 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 with floating holidays.
  • Quarterly no-questions-asked wellness day.
  • Multiple Employee Resource Groups (ERGs).
  • Inclusive workplace focused on acceptance and belonging.
  • Accommodation support during the recruiting process.
  • Applications reviewed as submitted with no application deadline.

Interested in this position?

Apply directly on the company website

Apply Now

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