Role & responsibilities :

The Enterprise Architect will be responsible for designing, governing, and evolving large-scale enterprise solutions leveraging Java-based platforms, Generative AI capabilities, and Big Data ecosystems. This role requires close collaboration with business stakeholders, delivery teams, and leadership to ensure scalable, secure, and future-ready architectures aligned with business strategy.

Technical Skills & Expertise :

Core Technologies :

- Java/J2EE, Spring Boot, REST APIs, Microservices architecture

- Cloud Platforms : GCP (architecture & deployment)

- DevOps & Platforms : Docker, Kubernetes, CI/CD pipelines

Generative AI :

- 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

Big Data & Analytics :

- Data processing frameworks : PySpark, Scala, Hive, Kafka, Databricks

- Data platforms : Data Lakes, Lakehouse architectures

- SQL & NoSQL databases

- Data governance, quality, and metadata management

Architecture & Governance :

- Enterprise integration patterns

- System scalability, performance, and resiliency design

- Security-by-design and compliance (enterprise standards)

- Experience working in large enterprise or regulated environments

Preferred candidate profile :

Enterprise Architecture & Strategy :

- Define and own enterprise architecture vision, principles, standards, and reference architectures

- Translate business goals and roadmaps into technology blueprints and transition architectures

- Evaluate trade-offs across scalability, performance, cost, security, and time-to-market

- Govern architecture decisions across multiple teams and programs

- Ensure alignment of solutions with long-term enterprise and product strategy

- Mentor architects and senior engineers; guide technical decision-making across teams

Java & Application Architecture :

- Architect large-scale enterprise applications using Java/J2EE, Spring Boot, and microservices

- Define REST-based, event-driven, and API-first integration patterns

- Guide modernization of legacy monoliths into cloud-native and microservices-based systems

- Ensure best practices for JVM performance, resilience, caching, and fault tolerance

- Set standards for code quality, design patterns, and reusable enterprise components

Generative AI Architecture :

- Lead Generative AI use-case discovery, design, and implementation across business functions

- Design enterprise-grade RAG architectures, AI agents, assistants, and automation workflows

- Own GenAI architecture aspects such as :

1. LLM selection and orchestration

2. Prompt engineering strategies

3. Vector database design and embedding pipelines

4. AI workflow orchestration and agent frameworks

- Define governance for responsible AI, security, privacy, and cost controls

- Present and demonstrate AI solutions directly to client and executive stakeholders

Big Data & Data Platform Architecture :

- Design and govern enterprise data platforms including data lakes, lakehouse, and analytics layers

- Architect batch, near-real-time, and streaming data pipelines

- Enable AI-ready data architectures with metadata management, lineage, and quality controls

- Guide teams on scalable storage, compute, and query patterns for high-volume data systems

- Ensure tight integration between transactional systems and analytical platforms

- Nice to have experience in Mainframe migration using PySpark.

Cloud, DevOps & Platforms :

- Define hybrid and cloud-native architectures on GCP

- Architect containerized platforms using Docker and Kubernetes

- Drive DevOps and CI/CD strategies for faster, reliable delivery

- Align infrastructure and platform decisions with application, AI, and data needs

- Optimize architecture for cost, resilience, and operational efficiency

Governance, Security & Compliance :

- Ensure solutions meet enterprise security, compliance, and regulatory standards

- Embed security-by-design and privacy-by-design principles

- Review architecture for performance, scalability, availability, and disaster recovery

- Support audits, risk assessments, and architectural sign-offs

Leadership, Mentoring & Collaboration :

- Act as a technical authority across multiple teams and programs

- Mentor architects, tech leads, and senior engineers

- Review and guide solution designs, POCs, and complex implementations

- Collaborate closely with product managers, PMO, delivery managers, and leadership

- Mentor architects and senior engineers; guide technical decision-making across teams

- Support pre-sales, RFP responses, SOW design, and effort estimations when required