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Advisor - Senior Solution Architect

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Onsite

Advisor - Senior Solution Architect

enGen Global

Advisor - Senior Solution Architect

Skills

Google Cloud PlatformSQL QueriesDockerJavaKnowledge ManagementMicroservicesSpring BootPostgreSQLGraphQLGitLabCybersecurityMachine LearningAIKubernetesCloud ArchitectCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

18 August 2026

What they need


Job Summary

We are seeking an experienced Senior Solution Architect to lead the design and implementation of cloud-native, AI-enabled enterprise platforms. The ideal candidate will have deep expertise in solution architecture, Google Cloud Platform (GCP), security architecture, enterprise integration patterns, and AI platform integrations.

The primary focus of this role will be system design, GCP security architecture, and NexusAI integration, ensuring scalable, secure, and future-ready technology solutions that align with enterprise architecture standards.

Position Title

Senior Solution Architect

Experience Required

9-12 Years of Relevant Experience

Employment Type

Full-Time

Key Responsibilities Enterprise Solution Architecture

  • Define end-to-end architecture for enterprise applications and digital platforms.
  • Create logical, physical, application, integration, and deployment architectures.
  • Lead architecture goverce and review processes.
  • Develop scalable and reusable architecture patterns and standards.
  • Drive technology modernization and cloud transformation initiatives.

Cloud Architecture GCP Security

  • Design secure cloud-native solutions on Google Cloud Platform.
  • Establish security controls including IAM, VPC design, encryption, service accounts, and secrets management.
  • Define security architecture aligned with enterprise compliance requirements.
  • Implement Zero Trust and defense-in-depth security principles.
  • Conduct architecture risk assessments and recommend mitigation strategies.

AI NexusAI Integration

  • Design integration patterns between business applications and NexusAI services.
  • Define API contracts and AI service orchestration mechanisms.
  • Support implementation of Retrieval Augmented Generation (RAG), vector search, and knowledge retrieval solutions.
  • Ensure secure and scalable consumption of AI services across enterprise platforms.
  • Collaborate with AI engineering teams on prompt orchestration, knowledge ingestion, and agentic workflows.

Integration Architecture

  • Design API-led integration architectures.
  • Define event-driven and service-oriented integration patterns.
  • Ensure interoperability between enterprise platforms, cloud services, and AI ecosystems.
  • Establish API goverce, observability, and security standards.

Security Compliance Goverce

  • Establish cloud security guardrails and goverce mechanisms.
  • Conduct architecture reviews focused on vulnerability reduction and threat mitigation.
  • Ensure compliance with organizational security policies and regulatory requirements.
  • Collaborate closely with cybersecurity and infrastructure teams.

Technology Leadership

  • Mentor development teams and technical leads.
  • Provide architecture guidance throughout project delivery lifecycle.
  • Lead design workshops and technical decision-making sessions.
  • Evaluate emerging technologies and recommend adoption strategies.

Required Qualifications Experience

  • 9-12 years of experience in software engineering, cloud engineering, or solution architecture.
  • Minimum 4+ years in an architect or senior technical lead role.
  • Proven experience designing enterprise-scale cloud solutions.
  • Extensive experience with cloud security and enterprise integration programs.
  • Demonstrated experience integrating AI/ML services into business applications.

Technical Skills

  • Architecture Design
  • Enterprise Architecture Frameworks (TOGAF preferred)
  • Solution Architecture
  • Application Architecture
  • Integration Architecture
  • Microservices Architecture
  • Event-Driven Architecture
  • Domain-Driven Design
  • Google Cloud Platform
  • GCP IAM
  • Cloud Run
  • GKE (Google Kubernetes Engine)
  • Cloud SQL
  • Cloud Storage
  • Pub/Sub
  • Secret Manager
  • API Gateway
  • Monitoring Logging Services
  • Security Architecture
  • OAuth 2.0
  • OpenID Connect
  • SAML/SSO
  • JWT Security
  • Zero Trust Security
  • Network Security
  • Secrets Management
  • Encryption Key Management
  • Secure API Design
  • AI Modern Platforms
  • Enterprise AI Integration
  • Generative AI Architectures
  • RAG Frameworks
  • Vector Search Platforms
  • Knowledge Management Systems
  • AI Goverce Security
  • NexusAI Integration Patterns
  • Development Technologies
  • Java
  • Spring Boot
  • REST APIs
  • GraphQL
  • PostgreSQL
  • Docker
  • Kubernetes
  • GitLab CI/CD

Preferred Qualifications

  • Experience in healthcare, insurance, or other regulated industries.
  • GCP Professional Cloud Architect certification.
  • Experience implementing AI-powered knowledge management platforms.
  • Experience designing enterprise-scale API ecosystems.
  • Exposure to Vertex AI, enterprise search platforms, and agentic AI solutions.
  • Experience with hybrid-cloud or multi-cloud architectures.

Soft Skills

  • Strong stakeholder management and executive communication skills.
  • Ability to translate business objectives into technology solutions.
  • Strong analytical and problem-solving capabilities.
  • Excellent facilitation and technical leadership skills.
  • Ability to influence architecture decisions across multiple teams.

Key Deliverables

  • Enterprise Solution Architecture Documents
  • Application Integration Architecture Diagrams
  • Cloud Security Architecture Reviews
  • AI Integration Strategy Design
  • Technology Standards and Goverce Artifacts
  • Architecture Decision Records (ADRs)
  • Deployment and Operational Architecture Models

Success Measures

The successful candidate will:

  • Define scalable and secure enterprise architectures.
  • Establish robust GCP security controls and goverce.
  • Successfully integrate NexusAI capabilities into business platforms.
  • Drive modernization initiatives and cloud adoption.
  • Reduce technical debt through architecture standardization.
  • Enable future-ready AI-powered business capabilities.

Primary Focus

System Design Enterprise Architecture GCP Security NexusAI Integration Cloud Goverce AI Enablement Technology Strategy.

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