AI Engineer DS&ML

AI Engineer – Data Science & Machine Learning Pay: $65 to $75 an hour W2

Location: Plano, TX — Hybrid work environment (4 days in-office)

Summary Join a leading technology and mobility company dedicated to transforming IT solutions into innovative, secure, and resilient AI-driven products. As an AI Engineer, you will play a pivotal role in designing and operationalizing our new AI Accelerator platform, leveraging the latest in generative AI, retrieval-augmented generation, and multi-agent workflows. This is a fantastic opportunity to contribute to cutting-edge AI initiatives within a dynamic and growing organization committed to security, responsible AI practices, and professional growth.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or related field, or equivalent practical experience
• 5+ years of software development, data science, machine learning, or AI engineering experience, including production-quality Python coding and version control
• Hands-on experience with large language models (LLMs), retrieval-augmented systems, or AI assistants using APIs and structured tool integrations
• Strong Python skills and experience with modern software engineering practices: testing, CI/CD, API documentation, and observability
• Knowledge of data retrieval/indexing, embeddings, vector/hybrid search, and evaluation metrics
• Proven ability to translate business needs into technical solutions and communicate effectively with both technical and non-technical teams
• Demonstrated commitment to responsible AI, data governance, privacy, and security practices

Responsibilities

• Collaborate with data and business teams to develop a governed knowledge base with trusted data and documents
• Implement retrieval pipelines, metadata tagging, source citations, and quality checks to ensure trustworthy context for AI outputs
• Develop datasets and metrics to evaluate retrieval relevance, grounding, and completeness
• Design, build, and maintain secure multi-agent workflows, ensuring outputs are structured, traceable, and reliable
• Define agent roles, tool contracts, error handling, and human review points for multi-agent AI systems
• Create reusable workflows and patterns that enhance repeatability and usability for data scientists and engineers
• Support model evaluation, KPI tracking, and governance frameworks aligned with enterprise security and responsible AI standards
• Work in agile cycles, demonstrate incremental progress, document technical decisions, and incorporate feedback into development priorities

Benefits

• Opportunity to be part of a growing, innovative organization with a strong emphasis on security and AI governance
• Collaborative, forward-thinking culture focused on responsible AI and cutting-edge technology