Why AIS?

When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

• Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements.

• Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

• Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.

• Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

 

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

 

What you will be doing?

 

This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded.

At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a QA Engineer.

• Core Knowledge & Skills: Applies test automation basics, advanced testing techniques, performance testing, and Agile methodologies; uses tools like Selenium and JMeter.

• Work & Complexity: Designs and executes complex test cases, analyzes defects, develops automation scripts, and collects/report metrics.

• Quality & Independence: Conducts thorough testing, maintains consistency, seeks process improvements, and works independently on routine tasks.

• Teamwork & Communication: Participates in team projects, shares best practices, coordinates with other teams, and mentors juniors.

• Consulting & Engagement: Advises on test strategies, analyzes defects, suggests process improvements, and mentors junior testers.

As your initial project assignment, you will support the unique needs of our client as a QA Engineer.

Project Summary

Microsoft Fabric Quality Engineering project focused on end-to-end testing of data ingestion, transformation, analytics, Power BI, and CI/CD workflows across Fabric. The project also covers testing of Fabric Data Agents and Agentic AI solutions for accuracy, security, grounding, and conversational analytics.

Key Responsibilities

Microsoft Fabric Quality Engineering:

• Design, develop, and execute comprehensive test strategies for Microsoft Fabric solutions.
• Validate end-to-end data ingestion, transformation, and analytics workflows across One Lake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Spark Notebooks, and Semantic Models.
• Perform functional, integration, regression, system, and user acceptance testing for Fabric workloads.
• Validate data quality, business rules, schema evolution, incremental data loads, and data reconciliation across Bronze, Silver, and Gold data layers.
• Test Power BI Semantic Models, Direct Lake datasets, reports, dashboards, DAX calculations, RLS and OLS.
• Validate CI/CD deployments, Git integration, deployment pipelines, and promotions across Development, Test, UAT, and Production.
• Execute performance, scalability, concurrency, and workload testing for Fabric capacities.
• Validate monitoring, logging, alerting, observability, and operational readiness.
• Identify, document, prioritize, and track defects using Azure DevOps.
• Develop reusable automation frameworks for Fabric testing.

Microsoft Fabric Data Agents & Agentic AI Testing:

• Validate Microsoft Fabric Data Agents and AI-powered conversational analytics experiences.
• Test natural language queries against structured and unstructured enterprise data.
• Verify response accuracy, completeness, consistency, and relevance.
• Validate grounding using OneLake, Lakehouse, Warehouse, and Semantic Models.
• Test agent orchestration, tool calling, workflow execution, and Azure AI integrations.
• Validate multi-step reasoning and autonomous agent interactions.
• Test edge cases, ambiguous prompts, and error scenarios.
• Perform prompt injection, jailbreak, adversarial prompt, and AI security testing.
• Validate RLS, OLS, RBAC, and workspace security enforcement.
• Develop automated tests for conversational AI, prompt regression, and response evaluation.

Required For This Opportunity

• Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Spark Notebooks, Semantic Models, Power BI, Direct Lake.
• Microsoft Copilot, GitHub Copilot, Claude AI, Azure OpenAI, Agentic AI, Fabric Data Agents, Prompt Engineering, RAG.
• Playwright, Python, SQL, API Testing, Data Testing, Azure DevOps, CI/CD.

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member. The targeted base salary range for this role is $0-$0 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location. We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.

Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.