Advisor - Senior Solution Architect

The internal project staffing plan identifies a role focused on**"System design, GCP security, and NexusAI integration"**, aligned to a Solution Architect function supporting the Knowledge Management modernization initiative.

Job Description: Senior Solution Architect (GCP, AI Integration & Enterprise Architecture)

Position Title

Senior Solution Architect

Experience Required

9-12 Years of Relevant Experience

Employment Type

Full-Time

Role 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.

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 governance 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 governance, observability, and security standards.

Security & Compliance Governance

Establish cloud security guardrails and governance 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 Governance & Security

NexusAI Integration Patterns

Development Technologies

Java

Spring Boot

REST APIs

GraphQL

PostgreSQL

Docker

Kubernetes

GitLab CI/CD

The referenced architecture materials indicate enterprise solutions using Spring Boot APIs, PostgreSQL, GCP Cloud Run, Secret Manager, OAuth-based security, and cloud-native integration patterns.

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 Governance 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 governance.

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 Governance • AI Enablement • Technology Strategy.