Description

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 

1. 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 

2. 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 

3. 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 

4. 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 

5. 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 

6. 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 

7. 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

Key Skills

Education

Any Graduate