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The ideal candidate is a hands-on Enterprise Architect who can operate across AI, Java, Microservices, AWS, Oracle, and Snowflake, while also providing strategic architectural leadership. The candidate should be comfortable moving between enterprise strategy and deep technical architecture, leading POCs, making technology decisions, and guiding engineering teams toward scalable, secure, and modern solutions.

Location: Onsite
Role Type: Enterprise Architecture / Technology Leadership

We are seeking an experienced Enterprise Architect with strong expertise in AI, Full-Stack Java, Java Microservices, AWS, Oracle, and Snowflake to design and govern scalable, secure, cloud-native enterprise solutions.

The Architect will translate strategic business objectives into future-ready technology architectures, define target-state platforms and integration patterns, establish enterprise technology standards, and provide architectural governance across application development, data engineering, AI, and cloud infrastructure teams.

The ideal candidate combines hands-on technical depth with enterprise-level architecture leadership, with the ability to guide engineering teams, evaluate emerging technologies, and drive modernization initiatives in complex enterprise environments.

• Define end-to-end target-state architectures for scalable, resilient, cloud-native enterprise applications and platforms.
• Design modern architectures leveraging Java, Spring Boot, Microservices, AWS, Oracle, Snowflake, APIs, event-driven systems, and distributed architectures.
• Develop architecture roadmaps aligned with business strategy, modernization goals, and long-term technology direction.
• Define architectural standards and reusable patterns for application, integration, data, cloud, and AI platforms.
• Ensure architectures meet stringent performance, scalability, availability, resiliency, and maintainability requirements, including 99.99% availability targets where applicable.

• Provide architectural leadership for Java-based full-stack applications and microservices platforms.
• Define scalable service architectures using Java, Spring Boot, REST APIs, GraphQL, WebSockets, and event-driven patterns.
• Establish standards for service decomposition, API design, security, observability, containerization, and deployment.
• Guide engineering teams on distributed systems, asynchronous processing, messaging, caching, and high-volume transaction processing.
• Drive modernization of legacy applications toward cloud-native and microservices-based architectures.

• Design enterprise-grade architectures incorporating Generative AI, LLMs, RAG, AI agents, and AI-powered copilots.
• Define secure integration patterns between AI services, enterprise applications, APIs, databases, and knowledge repositories.
• Establish AI architecture guardrails covering data privacy, model security, prompt management, context management, latency, scalability, and responsible AI.
• Design RAG architectures that enable secure retrieval of enterprise information while maintaining appropriate data isolation and access controls.
• Evaluate AI platforms, models, frameworks, and emerging technologies for enterprise adoption and production scalability.

• Architect and govern solutions leveraging AWS cloud services, Oracle databases, Snowflake, Kafka/AWS Kinesis, APIs, and enterprise integration platforms.
• Define real-time and batch data integration patterns across applications, databases, data platforms, and cloud environments.
• Establish standards for API orchestration, event streaming, data movement, data security, and system interoperability.
• Ensure seamless integration between CRM, ERP, customer-facing applications, enterprise systems, and systems of record.
• Drive cloud modernization, migration, and hybrid-cloud architecture strategies.

• Create and maintain Architecture Decision Records (ADRs), solution architecture documents, reference architectures, and technical standards.
• Present architectural designs and recommendations to Enterprise Architecture Review Boards and senior technology leadership.
• Define and govern non-functional requirements (NFRs) including performance, availability, scalability, security, RTO, RPO, and disaster recovery.
• Establish architecture principles and ensure engineering teams adhere to approved enterprise standards.
• Partner with security teams to ensure compliance with Zero Trust, PCI-DSS, GDPR, HIPAA, SOC 2, and other applicable regulatory requirements.

• Evaluate emerging technologies, platforms, products, and third-party solutions based on technical fit, security, scalability, integration complexity, and total cost of ownership (TCO).
• Lead technical POCs, architecture spikes, technology evaluations, and modernization initiatives.
• Provide recommendations on build-vs-buy decisions and platform selection.
• Develop migration strategies and sequencing plans using patterns such as the Strangler Fig pattern.
• Partner with engineering, product, infrastructure, data, security, and business stakeholders to translate requirements into actionable technology strategies.

• Provide technical direction and mentorship to Senior Engineers, Technical Leads, Solution Architects, and development teams.
• Collaborate with business stakeholders and technology leadership to align architecture with business priorities.
• Communicate complex architectural concepts clearly to both technical and non-technical stakeholders.
• Drive architectural consistency across multiple applications, platforms, and engineering teams.

• Enterprise Architecture / Solution Architecture
• Java / J2EE / Spring Boot
• Full-Stack Java Development
• Java Microservices & Distributed Systems
• REST APIs, GraphQL, WebSockets
• AWS Cloud Architecture
• Oracle Database
• Snowflake / Cloud Data Platforms
• Apache Kafka and/or AWS Kinesis
• AI / Generative AI / LLM / RAG / AI Agents
• Cloud-native architecture and modernization
• Event-driven and API-led architectures
• Enterprise integration and data architecture
• Security, scalability, high availability, and disaster recovery

• Experience architecting large-scale enterprise applications and cloud modernization programs.
• Strong understanding of AI/ML architecture and enterprise GenAI adoption.
• Experience with containerization, Kubernetes, CI/CD, DevSecOps, and observability.
• Knowledge of enterprise security and regulatory frameworks such as PCI-DSS, GDPR, HIPAA, and SOC 2.
• Strong experience producing architecture documentation, ADRs, reference architectures, and technology roadmaps.
• Excellent communication, stakeholder management, and technical leadership skills.
• Ability to work onsite and collaborate closely with engineering and enterprise architecture teams.