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At a glance
- Education
- No degree required
- Benefits mentioned
- Equity / stock options
Skills mentioned
About the role
Position Overview
The AI Ops Engineer, Professional Services is an embedded AI practitioner dedicated to advancing AI capabilities within the Professional Services (PS) organization. This role translates Agiloft's enterprise AI strategy into practical solutions that improve implementation efficiency, consultant productivity, and delivery automation.
Working exclusively on PS initiatives, the role builds AI-powered workflows, agentic solutions, and automation that enhance customer implementations while operating within AI Operations governance. Day-to-day priorities are driven by PS leadership, with AI Operations providing standards, architecture, tooling, and strategic alignment. This role will require developing a deep understanding of how Professional Services currently delivers projects in order to help identify opportunities, shape strategy, and drive the adoption of AI to improve the efficiency, consistency, and quality of service delivery.
Reporting to Professional Services leadership with a dotted-line relationship to the VP of AI Operations, this role serves as both a hands-on builder and trusted AI advisor, partnering closely with PS AI Builders and AI Operations to deliver scalable, governed AI solutions.
Job 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
AI Delivery
Strategy & Leadership
Governance & Collaboration
Required Qualifications
- 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.
Preferred Qualifications
- 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.
Originally posted on Himalayas