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Agentic AI, Cloud Transformation & Application Modernization

UnivEdge Consulting LLCNew York, NY🇺🇸United StatesPosted 14 Sept 2026

Why This Role Stands Out

This Architect role offers a fantastic opportunity to shape cutting-edge Agentic AI and cloud transformation projects within a leading global technology consulting firm, with the flexibility of a hybrid work model. You will thrive here if you are a seasoned professional passionate about driving innovation and modernizing applications, and we encourage you to apply.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
2 days ago
MicroservicesNode.jsAWSMLOpsAirflowAzureCypressDatabricksDatadogGoogle CloudJavaJavaScriptKafkaPythonRESTRedshiftTypeScriptgRPC

Job Description

Univedge Consulting is hiring for one of our direct clients - a global technology consulting leader based in the US. Immediate interviews for the below position. Share your updated resume to apply.

Role : Architect – Agentic AI, Cloud Transformation & Application Modernization 

Location: US (Madison, NJ | Manhattan, NY | Boston, MA | Aventura, FL | Seattle, WA) 

Hybrid (Contractual)

Job Summary 

We are seeking an Architect to lead large-scale digital transformation initiatives spanning Agentic AI, cloud migration, application modernization, SaaS enablement and modern engineering adoption across modern full-stack, cloud-native, platform, data, and AI-assisted engineering environments. 

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; drive technology roadmaps, governance, design reviews, and compliance across programs. 
  • Cloud Migration & Transformation: Lead end-to-end cloud migration (AWS, Google Cloud Platform) — landing zones, migration strategy (re-host/re-platform/re-factor), and hybrid architectures — ensuring performance, scalability, security, and high availability. 
  • Application Modernization: Drive monolith-to-microservices, API-first, and cloud-native modernization, leveraging AI-driven tools for code analysis, conversion, and testing. 
  • SaaS & Platform Engineering: Architect multi-tenant SaaS platforms and integration architectures (APIs, middleware, event streaming); define SaaS operating models for monitoring and reliability. 
  • Engineering Leadership & Delivery: Provide technical leadership across the Golden Path stack (ReactJS, TypeScript, Go, Java, Python, Node.js, Koa, REST, gRPC, Thrift); drive adoption of microservices, event-driven architecture (Kafka), and CI/CD
  • Governance, Security & DevOps: Establish architecture governance for security, compliance, and risk management; implement Infrastructure-as-Code, CI/CD, DevSecOps, and observability practices. 
  • Stakeholder & Client Engagement: Act as a trusted advisor to C-level stakeholders, leading architecture workshops and driving alignment across business, product, and engineering teams. 

Required Skills & Experience 

Technical Experience 

  • 6 – 12+ years of experience in architecture roles, with a proven track record leading large-scale digital transformation and modernization programs and strong client-facing consulting and advisory experience. 
  • Strong experience with AWS (S3, IAM, CloudFront, Route 53, Aurora, RDS, Redshift) and deep expertise in cloud migration, application modernization, and microservices/distributed systems architecture
  • Hands-on expertise in Agentic AI, LLMs, and AI platform architecture (RAG, orchestration). 
  • Proficient in Go, Java, Python, Node.js, ReactJS, TypeScript, and JavaScript, with Koa, REST, gRPC, and Thrift for service communication. 
  • Experienced with event-driven, workflow, and data platforms (Databricks, Airflow, Temporal, Opty), Cypress-based testing, and observability tools (Datadog, OpsGenie). 

Nice to Have Skills 

  • Experience with GenAI platforms (Azure OpenAI, AWS Bedrock, OpenAI APIs) 
  • Exposure to AI-assisted engineering tools such as Gemini, Claude Code, GitHub Copilot, VS Code, and TablePlus 
  • Familiarity with Agentic AI & Intelligent Platform Architecture 
  • Relevant certifications:  
  • AWS / Google Cloud Platform Architect 
  • TOGAF / Cloud certifications 

Familiarity with data engineering, analytics, and MLOps /AIOps frameworks 

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