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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building, testing, and supporting AI agents and chatbots, with a strong focus on API integrations and performance monitoring. Proficient in applying governance and security standards while collaborating across IT and business teams.
Highest-signal resume keywords
AI Agent DevelopmentAPI IntegrationData Dog MonitoringNeuralSeek AdministrationTroubleshooting Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI DevelopmentChatbot SupportREST API KnowledgeIntegration EngineeringPerformance MonitoringError HandlingWorkflow TuningCost ManagementIncident ResponseDocumentation
Soft Skills
CollaborationIndependent WorkProblem Solving
Tools & Technologies
NeuralSeekClaudeMicrosoft CopilotData DogModel Context Protocol (MCP)
Industry Keywords
AI GovernanceData Handling PoliciesCompliance StandardsRegulated EnvironmentFinOps Principles
Tech Stack
Tools & technologiesCloudCyber Security
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 401(k) plan
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Paid holidays
- Vacation
- Employee negotiated discounts
