***WebCam Interview*** Very long term; initial PO for 1 year and usually goes for 3+ years *** Hybrid
Job Description:
Responsibilities
- Architect and lead enterprise AI/ML and GenAI solutions.
- Lead complex cloud architecture across AWS, Azure and Google Cloud Platform.
- Design end-to-end cloud solutions, migrations and enterprise integrations.
- Design highly available and fault-tolerant systems.
- Develop cloud cost optimization and FinOps strategies.
- Design AI infrastructure and agentic AI workflows.
- Establish GenAI architecture and design patterns.
- Support hybrid-cloud and multi-cloud environments.
- Address AI security, governance and compliance.
- Design microservices, distributed systems, event-driven and API-based architectures.
- Work closely with IT teams and business stakeholders.
Key Skills
- Solution Architecture
- Enterprise Architecture
- AWS / Azure / Google Cloud Platform
- Cloud Architecture
- AI/ML
- Generative AI
- Agentic AI
- AI Infrastructure
- AI Governance
- FinOps
- SaaS / PaaS / IaaS
- Microservices
- Distributed Systems
- Event-Driven Architecture
- API Architecture
- High Availability
- Fault Tolerance
- SDLC
- Hybrid/Multi-Cloud
- Stakeholder Management
Certifications / Education
- Snowflake SnowPro Advanced – Architect
- AWS Solutions Architect – Professional
- Azure Solutions Architect Expert
- Bachelor''s degree in Computer Science, Computer Engineering or related field.
- Experience with PMBOK, SAFe or IEEE standards is desirable.
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