Hands‑on experience with microelectronics or high‑reliability manufacturing processes such as wire bonding, die attach, hermetic sealing, welding, or precision assembly - required
Strong cross‑functional communication skills with the ability to coordinate engineering, quality, and manufacturing teams - required
Ability to manage multiple technical initiatives, track actions and risks, and drive timely closure - required
10-15 years of experience in manufacturing engineering, process development, or continuous improvement - required
Associate's degree in engineering (Mechanical, Electrical, Materials, Industrial, or related discipline) - required

Data Engineer

Experis

Dallas, TX 75254

Hands-on experience with SQL database design, ETL tools, and cloud environments like AWS, GCP, or Azure.
Technical expertise with data models, data mining, and segmentation techniques.
Minimum of 5 years of relevant experience in data engineering or similar roles.
Proficiency in Python, Scala, SQL, and scripting languages.
Experience with Big Data platforms such as Databricks, EMR, Hadoop.

IBM Netcool Engineer

Ventures Unlimited

Dallas, TX 75215

Micron Technology

Richardson, TX 75080

Cognizant

Farmers Branch, TX 75234

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