Enterprise Architect (Cloud Product Engineering Agentic AI) - GiGa-Ops Global Solutions : Job Details

Enterprise Architect (Cloud Product Engineering Agentic AI)Enterprise Architect (Cloud Product Engineering Agentic AI)

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Operating at the intersection of Cloud Product Engineering and Enterprise AI, this high-growth organization partners with Fortune-500 clients to modernize legacy estates and ship intelligent, agentic applications at scale. The firm architects secure, resilient, and data-driven platforms that unlock rapid innovation, leveraging multi-cloud ecosystems and state-of-the-art machine-learning infrastructure.Role & ResponsibilitiesWe Are Looking For a Visionary Enterprise Architect With Deep Expertise In Cloud Platforms(Azure/AWS/GCP), Product Engineering, And Modern Application Development. The Ideal Candidate Will Bring Hands-on Experience With

• Agentic AI solutions – designing and integrating autonomous AI agents that can plan, reason, and execute tasks across systems
• AI-assisted development using tools like GitHub Copilot
• Low-code/no-code platforms such as:
• Builder.io
• Cursur.io
• Bolt.new
• A strong foundation in React for front-end application development

Key Responsibilities

• Architect scalable, cloud-native solutions on GCP aligned with enterprise goals
• Lead the adoption of agentic AI frameworks to automate workflows and enhance developer productivity
• Integrate low-code/no-code platforms into enterprise architecture for rapid prototyping and delivery
• Champion the use of AI-assisted development tools like GitHub Copilot across engineering teams
• Collaborate with product, design, and engineering teams to deliver high-impact digital experiences
• Ensure architectural compliance with security, scalability, and performance standards

Preferred Qualifications

• Proven experience in enterprise architecture and product lifecycle management
• Strong coding background with React, JavaScript/TypeScript, and modern web frameworks
• Familiarity with CI/CD pipelines, DevOps, and cloud-native development
• Experience with autonomous agents, workflow orchestration, or LLM-based toolchains
• Excellent communication and leadership skills
• Experience working in a product team and agile practices
• Familiarity with code gen LLMs would be nice to have like sonnet or gemini
• 15+ years in enterprise or solution architecture within large-scale cloud environments.
• Expertise in AWS and/or Azure with current professional-level certifications.
• Hands-on design of event-driven microservices, Kubernetes clusters, and serverless workloads.
• Working knowledge of agentic AI/LLM frameworks, vector databases, and real-time inference pipelines.
• Proficiency with Terraform or CloudFormation plus CI/CD tooling (GitHub Actions, Jenkins, etc.).
• Fluency in TOGAF or Zachman frameworks and executive-level stakeholder communication.

Preferred

• Experience implementing FinOps and multi-cloud cost governance.
• Background with data mesh or lakehouse platforms on Delta/Iceberg.
• Track record embedding NIST, ISO-27001, or SOC-2 security controls in cloud workloads.
• Domain exposure to regulated sectors such as finance or healthcare.

Benefits & Culture Highlights

• Green-field influence: shape cloud and AI strategy across a global portfolio.
• Continuous learning budget for advanced certifications and GenAI research conferences.
• Inclusive, engineering-first culture that rewards innovation, autonomy, and impact.

Skills: terraform,github,workflow orchestration,github actions,event-driven microservices,javascript/typescript,agents,microservices,product engineering,architecture,nist,jenkins,cloud,serverless workloads,agentic ai solutions,zachman frameworks,kubernetes,finops,code,enterprise,react,togaf,ai-assisted development,stakeholder management,soc-2 security controls,application,cloud platforms (azure/aws/gcp),platforms,aws,autonomous agents,data mesh,low-code/no-code platforms,iso-27001,security compliance,ci/cd pipelines,devops,cloudformation,lakehouse platforms

Seniority level

• Seniority levelDirector

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology
• IndustriesTechnology, Information and Internet

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