Artificial Intelligence Engineer

Jobzhr; Alameda (CA); On-site; USD 137,760 - 165,312; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

401K plan

Paid time off

Employee assistance program

Job summary

Akkodis is seeking an AI Test Lead for a 12-month contract in Alameda, CA. You will design, build, and operate AI quality engineering tests across cloud platforms to accelerate innovation in the software development lifecycle.

You will lead AI QE test platforms and tools across AWS Bedrock/SageMaker, Databricks Mosaic AI, Claude for Enterprise, and emerging AI-native tools, ensuring scalable, secure, and compliant deployments while enabling rapid experimentation in a regulated life sciences

Qualifications

• 5+ years in software quality engineering and testing, AI/ML engineering.
• 3+ years hands-on experience with AI Test platforms (AWS preferred).
• Experience with AI QE Testing Platforms and Enterprise LLM platforms.

Responsibilities

• Define and mature enterprise AI QE Test platform architecture across cloud and data ecosystems.
• Design interoperable AI driven QE test solutions to support software solutions.
• AWS Bedrock, SageMaker, Databricks Mosaic AI, Claude for Enterprise integration.
• Operationalize reusable AI capabilities: prompts, tool, and agent orchestration frameworks.
• Evaluation, monitoring, and observability pipelines; ensure secure, compliant AI usage.
• Implement AI platform guardrails; auditability and traceability.
• Drive adoption of agentic SDLC practices and frameworks for spec-driven development.
• Integrate AI-native platforms into CI/CD and DevSecOps workflows.

Skills

Software quality engineering

AI/ML engineering

Tools

Tricentis Testim/Tosca

ACCELQ

Mabl

LambdaTest

Katalon

Claude for Enterprise

OpenAI

Job description

Akkodis is seeking an AI Test Lead role is 12 months contract role with a client located in Alameda, CA.

Pay Range: $100-$120/hr; The rate may be negotiable based on experience, education, geographic location, and other factors.

Role Overview

Seeking a forward-thinking AI Platform Test Lead to design, build, and operationalize the QE testing leveraging AI tools and utilities to accelerate innovation in ITs Software Development Lifecycle.

This role will lead the design, implementation and operations of AI QE testing platforms, tools and utilities to support a multi-platform AI ecosystem, spanning AWS (Bedrock, SageMaker), Databricks (Mosaic AI), Claude for Enterprise, and emerging AI-native / agentic engineering tools and platforms. The AI QE test platforms will also be used with non-AI software products. This role will ensure scalable, secure, and compliant deployment of AI capabilities while enabling rapid experimentation and adoption.

A critical success factor is the ability to stay ahead of industry trends, quickly validate new technologies, and operationalize high-value capabilities in a regulated life sciences environment.

Key Responsibilities

• AI QE Test Platform Strategy & Architecture
  • Help define and mature enterprise AI QE Test platform architecture across cloud and data ecosystems
  • Design interoperable AI driven QE test solutions to support software solutions to support
  • AWS AI stack (Bedrock, SageMaker, model hosting, orchestration)
  • Databricks / Mosaic AI (ML lifecycle, feature engineering, LLM ops)
  • Claude for Enterprise (secure conversational AI and enterprise workflows)
  • SaaS and in-house developed software products
• AI Capability Engineering & Operations
  • Operationalize reusable AI capabilities:
    • Prompt, tool, and agent orchestration frameworks
    • Evaluation, monitoring, and observability pipelines
    • Enable secure, compliant AI usage (GxP, HIPAA where applicable)
  • Implement AI platform guardrails
  • Auditability and traceability
• Design and operationalize Defect Statistics
• Drive adoption of agentic software development lifecycle (SDLC) practices
• Define frameworks for:
  • Spec-driven agentic development (Claude Code, Github Copilot, code agents)
  • Autonomous/semiautonomous agents across workflows
• Integrate AI-native platforms into enterprise engineering workflows (CI/CD, DevSecOps)

Required Qualifications

• 5+ years in software quality engineering and testing, AI/ML engineering
• 3+ years hands-on experience with AI Test platforms (AWS preferred)
• Proven experience with:
  • Experience with one or more AI QE Testing Platforms: Tricentis Testim/Tosca, ACCELQ, Mabl, LambdaTest, Katalon
  • Enterprise LLM platforms (e.g., Claude, OpenAI, or similar)
  • Strong understanding of LLM architectures (RAG, fine-tuning, embeddings, Vector DBs, Graph DBs, Multi agent orchestration)

Preferred Qualifications

• Familiarity with:
  • GxP validation processes for AI/ML systems
• Exposure to:
  • Agent frameworks (LangChain, Semantic Kernel, etc.)
  • AI testimg and evaluation tooling
  • Multi-cloud / hybrid architectures

Key Competencies

• Strategic + hands-on balance (thinks like an architect, executes like an engineer)
• Ability to translate emerging AI trends into enterprise value
• Strong systems thinking across platforms, data, and workflows
• Excellent stakeholder communication-able to influence senior leadership and engineering teams alike
• Bias for action-rapid experimentation and iterative delivery

Equal Opportunity Employer/Veterans/Disabled

• medical
• dental
• vision
• life insurance
• short-term disability
• additional voluntary benefits
• an EAP program
• commuter benefits
• a 401K plan

paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law

Holiday pay where applicable

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance