Architect – Agentic AI, Cloud Transformation & Application Modernization

Role

Architect – Agentic AI, Cloud Transformation & Application Modernization

Client - Compass

Job Summary

We are seeking an Architect to lead large-scale digital transformation initiatives spanning Agentic AI, cloud migration, application modernization and SaaS enablement.

This role will define and drive end-to-end enterprise architecture, enabling organizations to transition from legacy systems to AI-driven, cloud-native, scalable platforms. The architect will act as a strategic advisor to executive leadership, while also providing hands-on guidance across engineering, platform architecture, and delivery teams to ensure successful execution of transformation programs.

Key Responsibilities

• Architecture & Strategy
• Define and govern architecture frameworks, standards, and reference architectures
• Develop technology roadmaps aligned to business transformation objectives
• Drive architecture governance, design reviews, and compliance adherence across programs
• Cloud Migration & Transformation
• Lead end-to-end cloud migration programs (AWS, Azure, GCP) from legacy/on-prem systems
• Define landing zones, migration strategies (re-host, re-platform, re-factor), and hybrid architectures
• Ensure solutions meet requirements for performance, scalability, security, and high availability
• Application Modernization
• Drive application modernization initiatives, including:
• Monolith to microservices transformation
• API-first and event-driven architectures
• Cloud-native refactoring
• Leverage AI-driven tools for code analysis, conversion, testing, and automation
• Lead definition of modernization frameworks, governance models, and delivery accelerators
• SaaS & Platform Engineering
• Architect and enable SaaS platforms with multi-tenancy, scalability, and security
• Design robust integration architectures (APIs, middleware, event streaming)
• Define SaaS operating models, including monitoring, reliability, and lifecycle management
• Engineering Leadership & Solution Delivery
• Provide technical leadership across full-stack engineering teams:
• Backend: Java, Python, Go, Node.js
• Frontend: React, TypeScript
• Drive adoption of:
• Microservices & distributed systems
• Event-driven architectures (Kafka, messaging frameworks)
• CI/CD pipelines and DevSecOps practices
• Governance, Security & DevOps
• Establish architecture governance across security, compliance, and risk management
• Define and implement:
• Infrastructure-as-Code (Terraform, CloudFormation)
• CI/CD pipelines and DevSecOps frameworks
• Monitoring, observability, and reliability engineering models
• Stakeholder & Client Engagement
• Act as a trusted advisor to C-level stakeholders and clients
• Lead architecture discussions, workshops, and executive presentations
• Drive alignment between business, product, and engineering teams

Required Skills & Experience

Technical Expertise

• Strong experience in multi-cloud platforms (AWS, Azure, GCP)
• Deep expertise in:
• Cloud migration and application modernization frameworks
• Microservices, APIs, and distributed systems architecture
• Agentic AI, LLMs, and AI platform architecture (RAG, orchestration)

Programming & Engineering

• Hands-on experience with:
• Python, Java, Go, Node.js
• MERN stack (MongoDB, Express, React, Node.js)
• Strong experience with:
• Event-driven systems (Kafka or equivalent)
• Databases (SQL & NoSQL)
• API design and integration

Architecture & Platform Skills

• Architecture frameworks (e.g., TOGAF or equivalent)
• SaaS architecture (multi-tenancy, scalability, resilience)
• DevOps, CI/CD, and Infrastructure-as-Code
• Experience with integration platforms and API gateways

Experience

• 6 – 12+ years of experience in architecture roles
• Proven track record leading large-scale digital transformation and modernization programs
• Strong experience in client-facing consulting and advisory roles

Nice to Have Skills

• Experience with GenAI platforms (Azure OpenAI, AWS Bedrock, OpenAI APIs)
• Experience in industry domains such as Energy, Utilities, Finance, Retail, or Healthcare
• Exposure to AI-driven SDLC tools and automation platforms
• Familiarity with Agentic AI & Intelligent Platform Architecture
• Relevant certifications:
• AWS / Azure / GCP Architect
• TOGAF / Cloud certifications
• Familiarity with data engineering, analytics, and MLOps /AIOps frameworks

Impact & Value

• Drive AI and cloud transformation strategies
• Enable transition to AI-first, cloud-native, and SaaS-based business models
• Accelerate time-to-market through automation, AI, and modern engineering practices
• Improve system scalability, reliability, and cost efficiency
• Establish future-ready, intelligent digital ecosystems for clients