5243 Qa Engineer jobs in Addison,TX

QA Analyst

BNS International

Mckinney, TX 75070

International travel is not required.
The frequency of travel is currently not known as it depends on the client and project requirement that cannot be currently anticipated.
Employer also accepts Bachelor's degree in Computer Science/Information Technology/Business/Science/Engineering (Any) or closely related field plus five years of progressive work experience in related field.
Experience Should include 6 (Six) Months of Working with Software Quality Testing.
Master's degree in Computer Science/Information Technology/ Business/Science/Engineering(Any) or closely related field with Six (6) months of experience in the job offered or as an IT Consultant or Analyst or Programmer or Developer or very closely related area.
Employer provides Information technology services to various clients in USA and hence implementing projects will require such travel.
Travel and/or relocation is required to unanticipated client sites within USA.

Sobha Realty

Plano, TX 75086

Coforge

Dallas, TX 75215

ClifyX

Dallas, TX 75215

Infovision

Irving, TX 75014

COFAN THERMAL

Dallas, TX 75368

Cognizant

Grapevine, TX 76099

Willing to travel to client location on a need basis
Deep Expertise in Agentic AI: Proven experience designing multi-agent systems, implementing RAG (Retrieval-Augmented Generation), and utilizing framework patterns (e.g., ReAct) within the Microsoft stack.
Governance & Security: Establish frameworks for Responsible AI, ensuring data privacy, role-based access control (RBAC), and compliance within the Microsoft Entra ID environment.
Agentic AI Development: Build autonomous agents capable of multi-turn reasoning and tool calling by integrating Azure OpenAI models with Power Automate flows.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
Azure AI: Experience with Azure AI Search (vector databases), Azure OpenAI Service, and Document Intelligence.
Integration: Architect complex integrations between AI agents and enterprise systems (ERP, CRM) using custom connectors and API management.
Establish technical governance, define standards and frameworks to manage tenants, environments, users, COE Kits, and drive best practices
Copilot Studio: Advanced configuration, topic design, and extending Copilots with custom plugins.
Legacy Automation Integration: Ability to integrate modern AI agents with existing RPA initiatives.
Power Platform: Ability to provide oversight as well as set up the Microsoft Power Platform environments and related technologies