HI
Architect β Agentic AI, Cloud Transformation & Application Modernization
Han IT Staffing
πΊπΈ United States
On-site
Staff / Principal
2 weeks ago
- AI
- AWS
- Azure
- GCP
- Microservices
- Java
- Python
- Node.js
- React.js
- TypeScript
- CI/CD
- DevSecOps
- Devops
- Risk Management
- IaC
- Terraform
- CloudFormation
- RAG
- MongoDB
- SQL
- NoSQL
- TOGAF
- Machine Learning
- Azure OpenAI
- AWS Bedrock
- OpenAI
- MLOps
- AIOps
2 weeks ago
Client - Compass
Job Summary
We are seeking anArchitect to lead large-scale digital transformation initiatives spanningAgentic AI, cloud migration, application modernization and SaaS enablement.
This role will define and driveend-to-end enterprise architecture, enabling organizations to transition from legacy systems toAI-driven, cloud-native, scalable platforms. The architect will act as astrategic advisor to executive leadership, while also providinghands-on guidance across engineering, platform architecture, and delivery teams to ensure successful execution of transformation programs.
Key Responsibilities
1. Architecture & Strategy
- Define and governarchitecture frameworks, standards, and reference architectures
- Developtechnology roadmaps aligned to business transformation objectives
- Drivearchitecture governance, design reviews, and compliance adherence across programs
2. Cloud Migration & Transformation
- Leadend-to-end cloud migration programs (AWS, Azure, GCP) from legacy/on-prem systems
- Definelanding zones, migration strategies (re-host, re-platform, re-factor), and hybrid architectures
- Ensure solutions meet requirements forperformance, scalability, security, and high availability
- Driveapplication modernization initiatives, including:
- Monolith to microservices transformation
- API-first and event-driven architectures
- Cloud-native refactoring
- LeverageAI-driven tools for code analysis, conversion, testing, and automation
- Lead definition of modernization frameworks, governance models, and delivery accelerators
- Architect and enableSaaS platforms with multi-tenancy, scalability, and security
- Design robustintegration architectures (APIs, middleware, event streaming)
- DefineSaaS operating models, including monitoring, reliability, and lifecycle management
- 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
- Establish architecture governance acrosssecurity, compliance, and risk management
- Define and implement:
- Infrastructure-as-Code (Terraform, CloudFormation)
- CI/CD pipelines and DevSecOps frameworks
- Monitoring, observability, and reliability engineering models
- Act as atrusted advisor to C-level stakeholders and clients
- Lead architecture discussions, workshops, and executive presentations
- Drive alignment betweenbusiness, product, and engineering teams
Technical Expertise
- Strong experience inmulti-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)
- 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 frameworks (e.g., TOGAF or equivalent)
- SaaS architecture (multi-tenancy, scalability, resilience)
- DevOps, CI/CD, and Infrastructure-as-Code
- Experience withintegration platforms and API gateways
- 6 β 12+ years of experience inarchitecture roles
- Proven track record leadinglarge-scale digital transformation and modernization programs
- Strong experience inclient-facing consulting and advisory roles
- Experience withGenAI platforms (Azure OpenAI, AWS Bedrock, OpenAI APIs)
- Experience inindustry domains such as Energy, Utilities, Finance, Retail, or Healthcare
- Exposure toAI-driven SDLC tools and automation platforms
- Familiarity with Agentic AI & Intelligent Platform Architecture
- Relevant certifications:
- AWS / Azure / GCP Architect
- TOGAF / Cloud certifications
- Familiarity withdata engineering, analytics, and MLOps /AIOps frameworks
- DriveAI and cloud transformation strategies
- Enable transition toAI-first, cloud-native, and SaaS-based business models
- Acceleratetime-to-market through automation, AI, and modern engineering practices
- Improvesystem scalability, reliability, and cost efficiency
- Establishfuture-ready, intelligent digital ecosystems for clients
Architect β Agentic AI, Cloud Transformation & Application Modernization Β· Han IT Staffing