AI Engineering Manager in Dallas

Energy Jobline ZR

Dallas (TX)

On-site

USD 150,000 - 210,000

Full time

9 days ago

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Job summary

Thomas Edwards Group, an executive search firm based in Dallas, seeks an AI Engineering Manager to lead a team of AI engineers and data scientists. You will drive end-to-end AI initiatives from concept to production, partnering with data engineering and business stakeholders to deliver measurable business impact.

The role emphasizes technical leadership, scalable AI solutions, and production-grade ML operations in enterprise environments, with a focus on Generative AI and LLM-driven initiatives.

Qualifications

  • 10+ years in Data Science, ML, or Applied AI Engineering with 3+ years in team leadership.
  • Hands-on with Generative AI, LLMs, RAG, prompt engineering, model evaluation, and fine-tuning.
  • Experience deploying, monitoring, and maintaining ML models in production.

Responsibilities

  • Lead and mentor a team of Applied AI Engineers and Data Scientists.
  • Oversee AI/ML lifecycle from development to production.
  • Establish standards for AI engineering, MLOps, and production deployment.
  • Develop solutions involving Generative AI, LLMs, and predictive analytics.
  • Partner with BI and data teams to drive AI initiatives and business impact.
  • Evaluate technologies and vendors to shape strategy and roadmap.
  • Ensure AI solutions are scalable, secure, and aligned with business goals.

Skills

Data Science
Team leadership
Applied AI
Business impact

Education

Bachelor's degree in CS/Engineering/Math
Master's degree or PhD
AWS or cloud certifications

Tools

PyTorch
TensorFlow
Pandas
SQL
Snowflake
Databricks
SageMaker
Bedrock

Job description

Job DescriptionJob Description

AI Engineering Manager 11049

Our client is seeking an experienced Staff Engineer, Applied AI to lead a team of AI Engineers and Data Scientists responsible for developing, deploying, and managing enterprise AI solutions. This individual will provide technical leadership, drive AI initiatives from concept through production, and partner with business stakeholders to deliver measurable business results.

Key Responsibilities
  • Lead and mentor a team of Applied AI Engineers and Data Scientists.

  • Oversee the full AI/ML lifecycle, including model development, deployment, monitoring, and optimization.

  • Establish technical standards and best practices for AI engineering, MLOps, and production deployment.

  • Develop and implement solutions involving Generative AI, Large Models (LLMs), predictive analytics, and intelligent automation.

  • Partner with Data Engineering, Business Intelligence, and business stakeholders to identify and execute AI initiatives.

  • Evaluate AI technologies, platforms, and vendors while driving technical strategy and roadmap development.

  • Ensure AI solutions are scalable, reliable, secure, and aligned with business objectives.

Required Skills & Qualifications
  • Experience: 10+ years in Data Science, Machine Learning, or Applied AI Engineering, including 3+ years managing technical teams.

  • Programming & ML Frameworks: Advanced Python, scikit-learn, PyTorch or TensorFlow, and pandas.

  • Generative AI & LLMs: Hands-on experience with Retrieval-Augmented (RAG), prompt engineering, model evaluation, and fine-tuning.

  • Production AI/ML: Proven experience deploying, monitoring, and maintaining machine learning models in production environments.

  • MLOps: Experience with CI/CD pipelines, model versioning, drift detection, automated retraining, and infrastructure automation.

  • Cloud Platforms: AWS (SageMaker, Bedrock) or comparable cloud-based AI/ML technologies.

  • Data Technologies: Strong SQL skills and experience with Snowflake, Databricks, or similar enterprise data platforms.

  • Leadership: Demonstrated experience managing AI/ML technical teams, establishing technical direction, and delivering enterprise AI solutions.

  • Business Impact: Ability to translate business requirements into AI solutions and demonstrate measurable business outcomes.

  • Education: Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline, or equivalent experience.

Qualifications
  • Master's degree or PhD in a related field.

  • AWS or other cloud certifications.

  • Experience in restaurant, retail, consumer services, or multi-location business environments.

  • Experience with computer vision, forecasting, and intelligent automation.

  • Familiarity with Agile methodologies.

    #ZR

Company Description

Thomas Edwards Group is an Executive Search Firm specializing in the direct hire and interim placement of Accounting, Finance, HR and IT professionals. We’ve been in business since 1997 and the Dallas Business Journal has ranked us a Top Search Firm in Dallas and one of the “Best Places to Work” multiple times. Thomas Edwards Group also made the Inc. 5000 list in 2016 and our award-winning team of Search Consultants, which rank among the best and most experienced in the area, includes MBAs, CPAs, former Big 4 Professionals, Controllers, IT Search Professionals, Finance/Banking, and Business Professionals.

Company DescriptionThomas Edwards Group is an Executive Search Firm specializing in the direct hire and interim placement of Accounting, Finance, HR and IT professionals. We’ve been in business since 1997 and the Dallas Business Journal has ranked us a Top Search Firm in Dallas and one of the “Best Places to Work” multiple times. Thomas Edwards Group also made the Inc. 5000 list in 2016 and our award-winning team of Search Consultants, which rank among the best and most experienced in the area, includes MBAs, CPAs, former Big 4 Professionals, Controllers, IT Search Professionals, Finance/Banking, and Business Professionals.

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