Artificial Intelligence Engineer

Job Overview:
Pay Range: $59.35hr - $77.03hr Requirement/Must Have: 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 (Tensor Flow, PyTorch).

Experience with cloud platforms (Azure AI stack, Databricks). Knowledge of MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines. Understanding of engineering and construction workflows is a plus. Strong problem-solving, communication, and collaboration skills. Responsibilities:
Design, build, and implement AI/ML models for predictive analytics, generative design, and automation. Convert prototypes into production-ready applications using frameworks like Tensor Flow, 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. Nice to Have:
Familiarity with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).

Experience with knowledge graphs, agent-based AI systems, and predictive analytics.

Skills:

Python. Tensor Flow. PyTorch. Azure AI stack. Databricks. MLOps. Docker. Kubernetes. CI/CD pipelines. Generative AI. Large Language Models (LLMs). Retrieval-Augmented Generation (RAG). Knowledge graphs. Agent-based AI systems. Predictive analytics. Qualification And

Education:

Bachelor's degree in Computer Science, Data Science, Engineering, or related field. Master's degree preferred. Benefits:
Our Benefits Include:
Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc.

is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers.

Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.