AI/ML Solutions Architect

Perfict

Sacramento (CA)

On-site

USD 180,000 - 320,000

Full time

4 hours ago
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Job summary

Perfict in Sacramento, CA seeks an experienced IT leader to drive enterprise AI/ML initiatives and multi-cloud architectures. The role focuses on architecting scalable, fault-tolerant systems and guiding governance for open SDLC methodologies. Candidates should demonstrate strong collaboration with IT and business stakeholders.

The position requires deep expertise in AI/ML use cases, cloud strategy, and microservice-based designs across complex environments.

Qualifications

  • 15+ years in IT with senior roles (developer/lead, software engineer, architect)
  • 10+ years applying open/non-proprietary SDLC methodologies across projects
  • 7+ years architecting/designing AI/ML use cases or GenAI solutions
  • 5+ years leading cloud architecture for large/complex environments (AWS/Azure/GCP)
  • 3+ years designing high availability, fault-tolerant systems and cost optimization for SaaS/PaaS/IaaS
  • 2+ years AI infrastructure, GenAI design patterns, cloud strategy & FinOps, security/compliance

Skills

IT leadership
SDLC governance
AI/ML design
Cloud architecture
High availability
Generative AI
Microservices

Job description

Type- Contract-

Duration- 12 months + 36 months

Job Description-

  • At least fifteen (15) years of experience in the Information Technology (IT) field with extensive experience in positions of technical developer/lead, software engineer, application architect, enterprise architect, etc.
  • At least ten (10) years of experience incorporating an industry's open & non-proprietary SDLC methodology to lead and manage various technical aspects of solution/software implementation projects, while facilitating and collaborating closely with organization's IT divisions and business stakeholders to follow all applicable project's implementation standards, processes, procedures, and best practices, etc.
  • At least seven (7) years of experience of architecting, designing & implementing AI/ML use cases or GenAI solutions.
  • At least five (5) years of experience in leading cloud architecture (AWS, Azure, GCP) for large or complex environments (multi-tier apps, enterprise integrations, or migrations), and proven delivery of end-to-end cloud solutions (not just components).
  • At least three (3) years of experience in designing high availability & fault-tolerant systems, and cost optimization strategies on SaaS, PaaS, and IaaS, etc.
  • At least two (2) years of experience in working with AI infrastructure & agentic workflows/orchestration, Generative AI design patterns, cloud strategy & FinOps, hybrid & multi-cloud systems, security & compliance (AI Governance), etc.
  • At least two (2) years of experience in designing Microservices, distributed systems, event-driven and API-based architecture.
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