Quality Engineer (AI Focused)

Sogeti; Phoenix (AZ); On-site; USD 140,000 - 200,000; Full time

Job summary

Sogeti is seeking a senior QA lead to own end-to-end quality strategy for AI Marketplace solutions. You will drive QE agent development, AI validation, and platform integration, while establishing standards for testing, observability, security, and performance.

You will mentor engineering teams to build scalable, agentic AI solutions. Responsibilities cover agent architecture, AI/LLM validation, QE automation, observability, cloud/platform engineering, and governance.

Qualifications

• Experience with Playwright, Selenium, API test automation is a must.
• Understanding of AI testing, validation, and governance principles.
• Familiarity with agentic AI concepts and multi-agent workflows.
• Knowledge of system observability, performance testing, and CI/CD integrations.

Responsibilities

• Define end-to-end quality strategy for AI Marketplace solutions, incl. QE agent development and AI validation.
• Set standards for AI testing, observability, security, and performance; enable reusable QE agents.
• Provide technical leadership and mentorship to engineering teams.

Skills

Playwright

Agentic AI fundamentals

LLM testing

API testing

LangChain

LangGraph

AutoGen

CrewAI

Semantic Kernel

MCP-based architectures

AI observability

Job description

This role will own the end-to-end quality strategy for AI Marketplace solutions, including QE agent development, AI validation, workflow orchestration, and platform integration. Define standards for AI testing, observability, security, and performance while enabling rapid adoption of reusable QE agents across projects. Provide technical leadership and mentorship to engineering teams in building and deploying agentic solutions.

What you will do at Sogeti:

Agentic AI Architecture: Understanding AI agents, multi-agent workflows, MCP (Model Context Protocol), orchestration frameworks, tool calling, memory management, RAG patterns, and agent lifecycle management.

AI/LLM Validation & Assurance: Ability to define and implement testing strategies for AI systems including hallucination detection, response quality evaluation, guardrail testing, prompt validation, grounding verification, and reliability testing.

QE Automation Engineering: Strong hands-on experience with Playwright, Selenium, API automation, test frameworks, CI/CD integration, test data management, and automation architecture.

Agent Development & Customization: Ability to configure, extend, and customize agents for project-specific workflows, enterprise tools, APIs, business rules, and testing use cases.

AI Observability & Monitoring: Knowledge of agent telemetry, trace analysis, execution monitoring, prompt/response tracking, drift detection, performance analytics, and operational dashboards.

Cloud & Platform Engineering: Working knowledge of Azure AI, AWS Bedrock, OpenAI, Databricks, Kubernetes, containers, APIs, security integrations, and enterprise deployment patterns.

Data & API Engineering: Strong understanding of API contracts, service orchestration, structured/unstructured data, vector databases, embeddings, and data validation techniques.

Responsible AI & Governance: Understanding AI agents, multi-agent workflows, MCP (Model Context Protocol), orchestration frameworks, tool calling, memory management, RAG patterns, and agent lifecycle management.

Performance & Scalability Testing: Ability to validate agent response latency, concurrency, token consumption, workflow scalability, resiliency, and failover behavior.

Solution Architecture & Consulting: Capability to translate business use cases into agentic solutions, define reusable marketplace assets, establish standards, and mentor engineering teams.

What you will bring:

• Playwright (must have)
• Agentic AI / LLM fundamentals
• API testing and integration
• AI testing and validation
• LangChain / LangGraph
• AutoGen / CrewAI / Semantic Kernel
• MCP-based architectures

About Sogeti

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Become Your Best | www.sogeti.us

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodation during our recruitment process.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.