AI Transformation Architect - Cloud, DevSecOps & Change

Raval West

Sacramento (CA)

Hybrid

USD 140,000 - 190,000

Full time

6 days ago
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Job summary

Raval West is seeking a technically strong consultant to support AI transformation and change management initiatives in Sacramento, CA. The role involves introducing AI-enabled development practices, evaluating tools, and driving adoption across engineering teams.

The position requires 6+ years in software, cloud, DevOps, or solution architecture, with strong AWS and GCP experience and a focus on secure, scalable AI-driven development.

Qualifications

  • 6+ years of experience in software engineering, cloud, DevOps, platform engineering, or solution architecture.
  • Experience with generative AI, AI-assisted development, or AI agents.
  • Understanding of AI-native SDLC, secure coding, DevSecOps, CI/CD, and data protection.
  • Strong experience with AWS and GCP
  • Experience supporting technical change management
  • Strong communication, documentation, and problem-solving skills.

Responsibilities

  • Assess current development processes and identify AI opportunities.
  • Support adoption of AI across coding, testing, security, deployment, and operations.
  • Evaluate AI developer tools such as GitHub Copilot, Claude Code, Codex, or similar.
  • Establish secure development practices and guardrails for AI-generated code.
  • Support cloud architecture, AI proofs of concept, documentation, training, and change adoption.
  • Collaborate with engineering, security, architecture, data, and business teams.

Skills

Generative AI
AWS
GCP
DevOps
CI/CD
Cloud architecture

Tools

Databricks Genie
Unity Catalog
AI/BI tools

Job description

Raval West is seeking a technically strong consultant to support AI transformation and change management initiatives in Sacramento, CA. The role involves introducing AI-enabled development practices, evaluating tools, and driving adoption across engineering teams.

The position requires 6+ years in software, cloud, DevOps, or solution architecture, with strong AWS and GCP experience and a focus on secure, scalable AI-driven development.

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