Artificial Intelligence Engineer

Cynet Systems • Reston, VA

2d

About The Position

We are seeking an experienced Artificial Intelligence Engineer to design, build, and implement AI/ML models for various applications including predictive analytics, generative design, and automation. This role involves converting prototypes into production-ready applications, developing robust data pipelines, and deploying models on cloud platforms. You will collaborate with cross-functional teams to align AI solutions with business objectives, ensuring adherence to security, ethics, and compliance standards. The position requires strong problem-solving, communication, and collaboration skills, with the ability to work independently and act as a technical lead on projects.

Requirements

• 8–12 years of relevant experience in AI/ML development or 12–15 years of related work experience without a degree.
• Proficiency in Python and AI frameworks (TensorFlow, PyTorch).
• Experience with cloud platforms (Azure AI stack, Databricks).
• Knowledge of MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Strong problem-solving, communication, and collaboration skills.

Nice To Haves

• Familiarity with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
• Experience with knowledge graphs, agent-based AI systems, and predictive analytics.
• Understanding of engineering and construction workflows is a plus.

Responsibilities

• Design, build, and implement AI/ML models for predictive analytics, generative design, and automation.
• Convert prototypes into production-ready applications using frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Collaborate with data engineers to develop robust data pipelines and architectures.
• Apply ETL techniques and big-data tools to cleanse, organize, and transform data for AI models.
• Deploy AI models on cloud platforms (Azure AI/ML, Databricks) and integrate with the organization's digital ecosystem.
• Implement MLOps practices for lifecycle management, monitoring, and continuous improvement.
• Work with cross-functional teams (engineering, IT, project controls) to align AI solutions with business objectives.
• Communicate complex AI concepts to non-technical stakeholders.
• Ensure AI solutions adhere to the organization's security, ethics, and compliance standards.
• Maintain documentation for models, processes, and decision-making.
• Stay current with emerging AI technologies (e.g., agentic AI, multimodal systems).
• Contribute to the organization's AI Center of Excellence initiatives and innovation programs.
• Work under minimal supervision with latitude for independent judgment.
• Handle issues of diverse scope within defined parameters.
• Act as a technical lead on small projects or initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior