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Solution Architect - Hybrid

MSys Inc.

Sacramento, CAHybridJobNo compensation foundTracked 3 days agoSeen in employer's feed 3 days ago
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At a glance

Compensation
No compensation found
Location
Sacramento, CAHybrid
Work Authorization
Not specified

Job overview

The role involves architecting and leading enterprise AI/ML and GenAI solutions, designing cloud architectures across AWS, Azure, and GCP, creating end‑to‑end solutions, ensuring high availability, optimizing costs, and establishing governance.

Skills & qualifications

RequiredNice to have

Skills

Overall IT Software Development ArchitectureSDLC Software Implementation LeadershipAI ML GenAI ArchitectureAWS Azure GCP Cloud ArchitectureHigh Availability Fault Tolerance Cost OptimizationAI Infrastructure Agentic AI GenAI Design FinOps AI GovernanceMicroservices Distributed Systems Event-Driven API Architecture

Qualifications

Bachelor's Degree in Computer Science or Related FieldSnowflake SnowPro Advanced – ArchitectAWS Solutions Architect – ProfessionalAzure Solutions Architect Expert

Full job description

WebCam Interview Very long term; initial PO for 1 year and usually goes for 3+ years *** HybridNeed 3 References

Job Description: Responsibilities

  • Architect and lead enterprise AI/ML and GenAI solutions.

  • Lead complex cloud architecture across AWS, Azure and GCP.

  • 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

  • Overall IT / Software Development / Architecture – 15+ years

  • SDLC & Software Implementation Leadership – 10+ years

  • AI/ML/GenAI Architecture – 7+ years

  • AWS / Azure / GCP Cloud Architecture – 5+ years

  • High Availability / Fault Tolerance / Cost Optimization – 3+ years

  • AI Infrastructure / Agentic AI / GenAI Design / FinOps / AI Governance – 2+ years

  • Microservices / Distributed Systems / Event-Driven / API Architecture – 2+ years

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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