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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining enterprise AI platform capabilities, including backend services, APIs, and automation patterns. Proficient in implementing integrations with LLM services and ensuring compliance with enterprise controls while supporting operational excellence.
Highest-signal resume keywords
Python ProgrammingCI/CD ImplementationAzure DevOpsAPI DevelopmentInfrastructure as Code
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend Services DevelopmentAutomation PatternsCloud-Native ApplicationsAPIsAI ObservabilityModel EvaluationVector SearchPrompt OrchestrationTelemetryLogging
Soft Skills
CollaborationDocumentationProblem SolvingOperational Support
Tools & Technologies
AzureGitHub EnterpriseContainersOrchestration FrameworksAI Gateways
Industry Keywords
Enterprise AISecurity ControlsDevelopment EnvironmentsReusable ComponentsDeveloper Enablement
Tech Stack
Tools & technologiesAzureCloudCyber SecurityJavaJavaScriptPythonTypeScript.NET
About the role
Key responsibilities & impact- Design, build, test, deploy, and support reusable enterprise AI platform capabilities
- Enable AI solution teams to adopt approved patterns for model access, experimentation, orchestration, retrieval augmented generation, observability, security controls, and enterprise-system integration
- Develop and maintain reusable AI platform services, APIs, SDKs, and automation patterns
- Implement integrations with approved LLM services, AI gateways, orchestration frameworks, vector/search services, and enterprise identity patterns
- Build and support CI/CD, infrastructure-as-code, automated testing, telemetry, and operational runbooks for AI platform components
- Partner with architecture, cybersecurity, data, privacy, and solution delivery teams to meet enterprise controls
- Troubleshoot incidents, reliability issues, performance bottlenecks, access issues, and environment defects across development and test environments
- Document platform patterns, onboarding guidance, reusable components, and developer enablement material
Requirements
What you’ll need- University or College education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or related field; equivalent experience considered
- 5-8 years of experience in building backend services, APIs, automation, cloud-native applications, or platform services
- Hands-on experience with Python and modern software engineering practices
- JavaScript/TypeScript or Java/.NET is an asset
- Experience with Azure, Azure DevOps or GitHub Enterprise, CI/CD, containers, Infrastructure as Code, logging, monitoring, and secure development practices
- Exposure to LLM application patterns, RAG, prompt orchestration, vector search, model evaluation, and AI observability is preferred
- Strong collaboration, documentation, problem solving, and operational support skills
Benefits
Comp & perks- Flexible work environment
- Fluid career paths
- Internal mobility opportunities
- Purpose, well-being, and work-life balance emphasis
- Welcoming and inclusive environment
- Volunteering opportunities