Senior AI Engineer

Job Description - Senior AI Engineer

Location: Dallas-Fort Worth, Texas

Employment Type: Contract / Full-Time

Experience Level: 5+ years

About the Company

Our client is a leading manufacturing company operating in the Dallas-Fort Worth area. They are executing a comprehensive AI transformation strategy to revolutionize their manufacturing processes, logistics operations, and supply chain management through advanced AI systems.

Role Overview

We are seeking experienced Senior AI Engineers to lead the development of sophisticated AI agents and intelligent systems for manufacturing applications. This role offers the opportunity to architect and implement production-grade AI solutions that will directly impact operational efficiency and innovation in a major organization.

Key Responsibilities

• Architect and develop complex AI agent systems for manufacturing automation and optimization

• Design and implement multi-agent orchestration frameworks for production environments

• Build and maintain ontologies and knowledge bases for domain-specific AI applications

• Lead technical initiatives from concept through production deployment

• Mentor junior engineers and contribute to technical best practices

• Collaborate with stakeholders across manufacturing, logistics, and engineering teams

• Drive innovation in AI agent capabilities and integration patterns

• Ensure scalability, reliability, and performance of AI systems in production

Required Qualifications

• Experience: 5+ years in AI/ML development and deployment

• AI Agent Development: Proven track record of building AI agents with at least some production or near-production deployment experience

Technical Expertise:

• Strong proficiency in Python and modern software engineering practices

• Deep understanding of LLM architectures, fine-tuning, and prompt engineering

• Hands-on experience designing orchestration systems for multi-agent workflows

• Working knowledge of ontology design and knowledge representation

• Experience with deployment practices and taking systems beyond local development

• **Work Authorization:** Must be authorized to work in the United States

Preferred Qualifications

• Microsoft AI Studio or Azure AI services experience

• Model Context Protocol (MCP) - familiarity or experimentation (this is cutting-edge, production experience not expected)

• Domain Knowledge: Background in manufacturing, logistics, automotive, supply chain, or industrial IoT (strong plus but not required)

• Experience with real-time systems and edge computing

• Track record of leading technical projects or mentoring engineers

• Experience with CI/CD pipelines for AI/ML systems

• Publications, blog posts, or presentations on AI agent systems

• Active engagement with emerging AI technologies and frameworks

Technical Environment

• Advanced AI/ML frameworks and agent development platforms

• Cloud infrastructure (AWS and Azure preferred)

• Modern MLOps and deployment pipelines

• Integration with industrial systems and IoT devices

• High-performance computing and distributed systems

What We Offer

• Leadership role in transformative AI initiatives within manufacturing, logistics and supply chain industries

• Opportunity to architect and deploy enterprise-scale AI solutions

• Collaborative environment with access to cutting-edge technology

• Impact on real-world industrial applications at scale

• Work with a growing AI team in the thriving Dallas-Fort Worth region

• Professional growth opportunities in AI and advanced technology

Pay: $80, $120,000.00 per year

Benefits:

• Relocation assistance

Work Location: In person