Role: Senior Technology Architect - Azure, AWS, API Management (Apigee/Kong), Cloud-Native Architecture
Location: Remote
Job Description:
to drive strategic technology competencies and help shape the organization's cloud, API, integration and AI-enabled technology landscape. The ideal candidate will possess deep expertise in one or more technology domains including Azure, AWS, API Management (Apigee/Kong), Cloud-Native Architecture, AI Platforms, Agentic AI, MCP-based architectures and modern enterprise integration patterns. The role combines competency leadership, solution architecture, pre-sales support, innovation and customer engagement responsibilities.
The individual will be responsible for building technology capabilities, driving adoption of emerging technologies, developing reusable assets and accelerators, supporting business growth and leading strategic customer engagements in a fully or partially billable capacity.
Strong technology expertise in one or more of the following areas:
* Cloud Platforms: Microsoft Azure, AWS, Cloud-Native Architecture, Kubernetes, Serverless Computing
* API & Connectivity: Apigee, Kong, Azure API Management, AWS API Gateway, API Security & Governance
* AI & Intelligent Systems: Azure OpenAI, AWS Bedrock, Generative AI, Agentic AI, LLM Integration, RAG, MCP, AI Gateway, Responsible AI
* Modern Architecture: Event-Driven Architecture, Microservices, Domain-Driven Design, Platform Engineering, DevSecOps, Observability
Required Experience:
* 15+ years of overall technology experience
* Proven track record as a Technology Architect, Solution Architect, Lead Architect or Technical Practice Leader
* Experience building and leading technology competencies or Centers of Excellence
* Experience leading cloud modernization, API transformation, digital platform or AI-enabled transformation initiatives
* Experience defining enterprise architecture roadmaps and technology strategy
* Strong customer-facing consulting and stakeholder management experience
* Demonstrated experience supporting pre-sales, solutioning and digital transformation programs
Success Measures
* Growth and maturity of assigned competencies
* Expansion of organizational capabilities in Cloud, API Management and AI technologies
* Development of reusable frameworks, accelerators and intellectual property
* Solution win contribution and revenue growth
* Customer satisfaction and successful engagement outcomes
* Certification and talent development targets
* AI adoption and innovation initiatives successfully operationalized
* Thought leadership contributions through whitepapers, POVs, workshops and customer advisory engagements
* Effective balancing of competency leadership responsibilities and billable customer engagements
