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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in solution architecture and AI capabilities, with a strong focus on Azure, APIs, and integration patterns. Proficient in stakeholder management and producing clear architecture artifacts for both technical and business audiences.
Highest-signal resume keywords
Solution ArchitectureAzureLLM-Enabled ApplicationsStakeholder ManagementAI Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Solution ArchitectureApplication ArchitectureCloud ArchitectureIntegration PatternsData PlatformsApplication SecurityOperational ReadinessArchitecture ArtifactsModel Risk ConsiderationsWorkflow Automation
Soft Skills
Stakeholder ManagementFacilitationDocumentationDecision-MakingCommunication
Industry Keywords
AI Use CasesArchitecture GovernanceEnterprise StandardsRegulatory ExpectationsTechnical Discovery
Tech Stack
Tools & technologiesAzureCloudCyber Security
About the role
Key responsibilities & impact- Create target-state and solution architecture for AI use cases across application, data, integration, security, operational, and deployment views
- Define and review reusable architecture patterns for LLM-enabled applications, RAG, AI agents, workflow automation, and model consumption
- Partner with cybersecurity, privacy, data, platform, and governance teams to meet enterprise standards and regulatory expectations
- Assess technology options, identify risks, document decisions, and guide delivery teams through architecture governance
- Support vendor and platform evaluations, design reviews, technical discovery, and implementation planning
- Contribute to architecture standards, reference patterns, and design documentation for enterprise AI capabilities
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
- Experience in solution architecture, application architecture, cloud architecture, or enterprise technology design
- Strong understanding of Azure, APIs, integration patterns, identity, data platforms, application security, and operational readiness
- Working knowledge of LLM-enabled applications, RAG, AI agents, model risk considerations, AI governance, and responsible AI controls is preferred
- Ability to produce clear architecture artifacts and communicate design trade-offs to technical and business audiences
- Strong stakeholder management, facilitation, documentation, and decision-making skills
Benefits
Comp & perks- Flexible work environment
- Fluid career paths
- Internal mobility
- Well-being support
- Work-life balance
- Welcoming and inclusive environment
- Volunteer opportunities