Applied AI Engineer

MANTECH is seeking an Applied AI Engineer to design, develop, and deploy scalable AI and machine learning solutions. In this onsite role in Doral, FL, you will help orchestrate AI/ML pipelines that support operational objectives across mission networks, from data ingestion through continuous training, evaluation, and optimization.

You will work closely with cross-functional technical teams, data architects, and stakeholders to establish AI architecture standards and integration baselines. The position includes model evaluation and performance tuning across multiple environments, along with ongoing assessment of emerging AI frameworks and tooling to improve processes and system capabilities.

Responsibilities

• Design, develop, and deploy scalable artificial intelligence and machine learning models to address complex operational challenges.
• Orchestrate AI/ML pipelines by integrating data streams and automating continuous training and evaluation workflows across mission networks.
• Collaborate with cross-functional technical teams, data architects, and stakeholders to define AI architecture standards and integration baselines.
• Evaluate models, tune performance, and optimize deployments across cloud, on-premise, and edge computing environments.
• Maintain technical baseline configurations and engineering documentation for AI systems and algorithmic models.
• Evaluate emerging AI frameworks, generative models, and tooling to recommend continuous improvements to processes and systems.

Requirements

• Bachelor’s degree (or higher) (or alternative combinations listed below).
• Education and experience options:
  • Bachelor’s degree with 5+ years in advanced analytics or data science roles.
  • Master’s degree with 3+ years of relevant experience.
  • PhD with 1+ years of relevant experience.
  • Associate’s degree with 7+ years of relevant experience.
  • High school diploma with 9+ years of relevant experience.
• Proven experience developing and deploying machine learning models and AI applications using modern frameworks such as PyTorch and TensorFlow.
• Strong software development background, including API integration and programming in Python and C++.
• Experience with cloud architectures, containerization (Docker, Kubernetes), and MLOps deployment pipelines.
• Ability to create, maintain, and communicate complex technical documentation and AI system architectures.

Technologies

• PyTorch, TensorFlow, Python, C++
• Docker, Kubernetes
• MLOps

Preferred Qualifications

• Relevant professional certifications (e.g., AWS Certified Machine Learning Specialist, Azure AI Engineer Associate).
• Direct experience supporting U.S. Military Command operations or Department of Defense enterprise technical environments.
• Hands-on experience with NLP, computer vision, or LLM fine-tuning and integration.
• Familiarity with DevSecOps, data governance, and secure AI deployment protocols.

Clearance Requirements

• Must hold a current/active secret security clearance.

Physical Requirements

• Must be able to remain in a stationary position for 50% of the time.
• Needs to occasionally move about inside the office to access file cabinets, office machinery, and related items.
• Frequently communicates with co-workers, management, and customers, which may involve delivering presentations; must be able to exchange accurate information.