Enterprise Architect

The Enterprise Architect will be responsible for designing, governing, and evolving large-scale enterprise solutions leveraging Java-based platforms, Microservices, MongoDB, Kafka-based event streaming, and Big Data ecosystems, with a strong focus on product building and productization of enterprise platforms. Exposure to Generative AI capabilities and modern AI-driven architectures is expected to support emerging business needs. This role requires close collaboration with business stakeholders, product managers, delivery teams, and leadership to ensure scalable, secure, and future-ready architectures aligned with business and product strategy.

Technical Skills & Expertise

Core Technologies

• Strong hands-on expertise in Java / J2EE, Spring Boot, Spring Cloud, REST APIs
• Microservices architecture design, decomposition, service mesh, API gateways, event-driven patterns
• MongoDB: schema design, sharding, replication, indexing, performance tuning, and aggregation pipelines
• Kafka: exposure to messaging/queueing patterns, producer-consumer design, topic & partition strategy, and event-driven integration
• Cloud Platforms: GCP/AWS/Azure (architecture & deployment)
• DevOps & Platforms: Docker, Kubernetes, CI/CD pipelines

Product Building & Engineering

• Proven experience in building enterprise products from 0 to 1 and scaling them to maturity
• Strong understanding of product lifecycle, MVP design, feature roadmaps, and platform thinking
• Experience converting business problems into reusable, multi-tenant product capabilities
• Familiarity with product telemetry, usage analytics, and continuous feedback loops

Architecture & Governance

• Enterprise integration patterns (including queue-based, pub-sub, and event-driven patterns using Kafka)
• System scalability, performance, and resiliency design
• Security-by-design and compliance (enterprise standards)
• Experience working in large enterprise or regulated environments

Good to Have

Generative AI Experience

• Hands-on experience with LLMs (OpenAI, Claude, Llama, Mistral, etc.)
• RAG architectures, Vector Databases (Pinecone, FAISS, OpenSearch, etc.)
• Frameworks & tools: LangChain, LangGraph, Agentic AI frameworks
• Prompt engineering, orchestration, and AI governance practices
• Experience designing enterprise-grade AI agents, assistants, and automation workflows

Roles & Responsibilities

Roles & Responsibilities

• Own enterprise architecture vision, standards, and reference architectures aligned with business and product strategy
• Translate business goals into scalable, secure, and cost-optimized technology blueprints
• Architect large-scale solutions leveraging Java, Spring Boot, Microservices, MongoDB, and Kafka-based event-driven patterns
• Govern architecture decisions across multiple teams and programs; evaluate tradeoffs across scalability, performance, cost, security, and time-to-market
• Drive modernization of legacy systems into cloud-native platforms on GCP, containerized with Docker and Kubernetes
• Partner with Product Management to shape technical vision, roadmap, and productization of enterprise platforms
• Ensure compliance with enterprise security, privacy, and regulatory standards; embed security-by-design principles
• Mentor architects, tech leads, and senior engineers; guide technical decision-making across teams
• Support presales, RFP responses, SOW design, and effort estimations as needed