What are the responsibilities and job description for the Enterprise Architect position at Virtusa?
Enterprise Architect
Key Responsibilities
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.
- 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