Solutions Architect

Job Title: AI ML - Solution Architect

Location: Sacramento, CA (2-3 Days/Hybrid)

Job Type: Long term contract

Minimum Technical Qualifications

• 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.

Desirable Technical Qualifications

Holding technical certifications in the areas of:

• cloud platform/architecture and/or GenAI or GenBI such as:
• Snowflake SnowPro Advanced – Architect
• AWS Solutions Architect – Professional
• Azure Solutions Architect Expert