AI Transformation Architect & Enablement Lead

Raval West

Sacramento (CA)

Hybrid

USD 140,000 - 200,000

Full time

18 hours ago
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Job summary

Raval West is seeking a technically strong consultant to lead AI transformation and change management initiatives in Sacramento, CA, with 1 day per week in the office. The role focuses on introducing AI-enabled development practices, evaluating tools, and driving adoption across engineering teams.

The candidate will assess current processes, promote AI adoption across coding, testing, security, deployment, and operations, and establish secure guardrails for AI-generated code while supporting

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
Cloud & DevOps
CI/CD
Secure coding
AWS
GCP
Change management

Tools

GitHub Copilot
Claude Code
Codex
Unity Catalog
Databricks Genie

Job description

Raval West is seeking a technically strong consultant to lead AI transformation and change management initiatives in Sacramento, CA, with 1 day per week in the office. The role focuses on introducing AI-enabled development practices, evaluating tools, and driving adoption across engineering teams.

The candidate will assess current processes, promote AI adoption across coding, testing, security, deployment, and operations, and establish secure guardrails for AI-generated code while supporting

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