Enterprise Architect

Enterprise Architect

Key Responsibilities
 

• Architecture Leadership:
   
• Define and maintain the enterprise architecture blueprint across business, data, application, and technology domains.
   
• Lead modernization initiatives leveraging microservices-based architecture and API-first design.
   
• API & Microservices Engineering:
   
• Design, govern, and evolve enterprise API ecosystems (REST, GraphQL, gRPC).
   
• Implement and standardize API gateway patterns, security, rate limiting, and observability (e.g., Kong, Apigee, Boomi, AWS API Gateway).
   
• Guide teams in building and orchestrating microservices using containers, Kubernetes, and event-driven architectures.
   
• Agentic AI Integration:
   
• Architect and operationalize Agentic AI frameworks that use LLMs, embeddings, and autonomous agents for enterprise use cases (e.g., knowledge orchestration, intelligent workflows, customer interaction).
   
• Integrate AI pipelines with existing systems using tools such as LangChain, OpenAI, Anthropic, or vector databases.
   
• Ensure AI systems align with enterprise governance, security, and compliance frameworks (Responsible AI, model transparency, data lineage).
   
• Technology Governance & Standards:
   
• Establish architecture principles, reference models, and technology standards.
   
• Conduct architecture reviews to ensure solution alignment with enterprise strategy.
   
• Partner with InfoSec and Data teams to enforce Zero Trust, API security, and ethical AI use.
   
• Collaboration & Influence:
   
• Work closely with product, data, and AI engineering teams to translate business goals into scalable architecture solutions.
   
• Serve as a trusted advisor to executives, ensuring technology investments deliver measurable business outcomes.
   

 
Required Skills & Experience
 

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
   
• Experience: 10+ years in enterprise architecture, with hands-on design and implementation experience.
   
• Technical Expertise:
   
• Proven experience with API platforms (Kong, Apigee, Boomi, AWS API Gateway).
   
• Strong in microservices design patterns, container orchestration (Docker/Kubernetes), and event streaming (Kafka, RabbitMQ).
   
• Deep understanding of LLMs, embeddings, RAG pipelines, and agentic AI orchestration frameworks (LangChain, OpenDevin, CrewAI, etc.).
   
• Familiarity with cloud-native platforms (AWS, Azure, GCP) and DevOps toolchains (Terraform, GitHub Actions, ArgoCD).
   
• Architecture Frameworks: TOGAF, Zachman, or similar enterprise frameworks.
   

            •           Soft Skills: Strong communication, stakeholder management, and ability to bridge business and technology