AI Engineering & Transformation Architect

Raval West; Sacramento (CA); Hybrid; USD 140,000 - 190,000; Full time

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

We are seeking a technically strong consultant to support upcoming AI transformation and change management initiatives. This role will help introduce AI-enabled development practices, evaluate emerging tools, support secure cloud architecture, and drive adoption across technical teams.

Location: Sacramento, CA. 1-day/week in office is required.

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.

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.
• Databricks Genie, AI/BI, or Unity Catalog experience preferred.