Enterprise Architect Leader

Director

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.