AI Operations Engineer
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Job Description
AI Operations Engineer building and supporting enterprise AI agents, chatbots, and integrations. Enabling secure, governed AI operations for Turtle’s electrical distribution business.
Responsibilities:
- Build, test, and support AI agents and chatbots for internal business use cases
- Translate stakeholder requirements into working designs and improve solutions using feedback and usage data
- Maintain and improve production AI agents and chatbots through prompt and workflow tuning, error handling, and performance monitoring
- Identify informally deployed AI tools and migrate them to enterprise-managed, centrally hosted, access-controlled platforms
- Apply governance, authentication, and access-control standards with Cyber Security and the AI Center of Excellence
- Administer and support NeuralSeek, Claude, and Copilot platforms
- Monitor platform health, performance, and usage using Data Dog and related observability tools
- Evaluate new AI tooling and recommend adoption
- Support Model Context Protocol (MCP) server infrastructure
- Build, test, and maintain API integrations with enterprise applications and data sources
- Resolve integration issues with internal teams and vendors
- Monitor and manage token and API consumption costs, including allocation, budgeting, forecasting, and optimization
- Maintain an inventory of production AI agents, bots, and integrations
- Participate in incident response for AI outages, integration failures, and unexpected model behavior
- Support vendor management, renewals, license reconciliation, and issue escalation
- Develop training and enablement materials for business users
- Ensure compliance with AI governance, data handling, and security policies
- Document architecture, configurations, and runbooks
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent hands-on experience
- 3 to 5 years of experience in an AI, automation, integration, or DevOps/AIOps engineering role
- Practical experience building or supporting AI agents or chatbots in a business environment
- Working knowledge of REST APIs and experience building or maintaining API integrations
- Strong troubleshooting skills across applications, integrations, and infrastructure
- Ability to work independently while collaborating across IT, business, and security teams
- Familiarity with NeuralSeek, Claude, Microsoft Copilot, or comparable AI orchestration and assistant platforms is preferred
- Experience with Data Dog or similar observability and monitoring platforms is preferred
- Exposure to Model Context Protocol (MCP) or similar agent-to-system integration frameworks is preferred
- Understanding of cloud or SaaS cost management (FinOps) principles as applied to AI consumption is preferred
- Experience operating in a regulated or compliance-driven environment is preferred
- Relevant certifications are beneficial but not required
Benefits:
- 401(k) plan
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Paid holidays
- Vacation
- Employee negotiated discounts
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