AI Ops Consultant

AI Ops Engineer – Required Skills and Qualifications

Required Technical Skills

• Experience administering enterprise SaaS platforms, preferably AI, cloud, or developer productivity platforms.
• Working knowledge of Large Language Models (LLMs), including prompt engineering, context windows, token consumption, model capabilities, and common AI workflows.
• Experience using enterprise AI platforms such as ChatGPT Enterprise, Anthropic Claude, Microsoft Copilot.
• Ability to analyze platform usage, cost, and operational metrics to identify optimization opportunities.
• Experience working with REST APIs and using APIs to automate operational tasks.
• Proficiency in scripting or automation using one or more languages such as Python, PowerShell, or JavaScript.
• Experience with SQL and data analysis for operational reporting.
• Familiarity with identity and access management concepts, including SSO, RBAC, Entra ID (Azure AD), SCIM provisioning, and user lifecycle management.
• Experience creating dashboards and reports using tools such as Power BI, Tableau, or similar analytics platforms.
• Understanding of SaaS licensing models, usage-based billing, quotas, and cost management practices.
• Experience troubleshooting user issues and working with vendor support organizations.

Preferred Technical Skills

• Experience administering ChatGPT Enterprise and/or Anthropic Claude Enterprise.
• Experience with OpenAI APIs and Anthropic APIs.
• Familiarity with AI gateways, model routing, or proxy platforms such as LiteLLM.
• Experience building lightweight internal tools or operational automations.
• Knowledge of FinOps principles for cloud or SaaS platforms.
• Familiarity with MCP (Model Context Protocol) and AI agent architectures.
• Experience with observability platforms, monitoring systems, or operational analytics.

Professional Skills

• Strong analytical and problem-solving skills with the ability to identify inefficient usage patterns and recommend practical improvements.
• Ability to explain technical concepts to both technical and non-technical users.
• Excellent communication skills for creating documentation, best practices, and user guidance.
• Strong customer-service mindset with a passion for helping users maximize productivity.
• Ability to balance governance, security, cost optimization, and user experience.
• Comfortable working across engineering, security, procurement, legal, and business teams.
• Highly organized with strong attention to detail and operational discipline.
• Ability to manage multiple priorities in a fast-paced environment.

Responsibilities and Experience

Candidates should demonstrate experience with one or more of the following:

• Operating enterprise AI or SaaS platforms in a production environment.
• Managing user onboarding, access, licensing, and platform administration.
• Monitoring platform usage, costs, and operational health.
• Investigating abnormal usage patterns and recommending corrective actions.
• Developing user training, documentation, and adoption programs.
• Creating operational runbooks, standard operating procedures, and governance documentation.
• Automating repetitive operational activities through scripting or APIs.
• Collaborating with vendors to resolve technical or operational issues.
• Producing executive dashboards and operational metrics.