Enterprise Architect Leader

Job description

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.