Enterprise Architect

Impetus; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Impetus is seeking an Enterprise Architect to design and govern large-scale enterprise solutions using Java, Generative AI, and Big Data technologies. The role requires collaboration with stakeholders to ensure scalable and secure architectures aligned with business objectives.

Candidates should possess hands-on experience with LLMs, cloud platforms, and big data frameworks. The position offers opportunities to mentor teams and influence architectural decisions throughout the organization.

Qualifications

• Experience in designing large-scale enterprise solutions leveraging Java-based platforms.
• Hands-on with Generative AI capabilities like LLMs and AI governance practices.
• Proficient in big data ecosystems including data lakes and governance.

Responsibilities

• Design and govern large-scale enterprise solutions for scalability and security.
• Collaborate with stakeholders to align solutions with business strategies.
• Mentor architects and guide technical decision-making across teams.

Skills

Java/J2EE

Cloud Platforms: GCP

DevOps & Platforms

Big Data frameworks

Generative AI frameworks

Tools

Docker

Kubernetes

CI/CD pipelines

PySpark

Kafka

Job description

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.

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

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:
• LLM selection and orchestration
• Prompt engineering strategies
• Vector database design and embedding pipelines
• 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
• Support pre‑sales, RFP responses, SOW design, and effort estimations when required