Quick Overview
Job Description
Role: Architect – Agentic AI, Cloud Transformation & Application Modernization
This role may lead to contract to hire directly with Compass in the future.
Need candidates who can go for F2F on September 18 TH in Manhattan NYC
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, Google Cloud Platform) 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, Google Cloud Platform)
- 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 / Google Cloud Platform 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
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