AI & Analytics Solutions Engineer

Responsibilities

• Provide day-to-day functional support for deployed AI and analytics solutions
• Maintain knowledge of emerging AI technologies and solutions compatible with a government tenant
• Monitor and troubleshoot tickets related to AI and analytics solutions
• Collaborate with the business to define, design, and deploy use cases leveraging AI and analytics solutions
• Build and maintain AI governance frameworks
• Work with third-party vendors as applicable to support on-going projects

Qualifications

• Strong programming skills in Python and SQL
• Experience with machine learning model development, including supervised, unsupervised, and deep learning techniques
• Familiarity with cloud platforms (e.g. Azure) and GPU-accelerated computing
• Experience integrating AI models with enterprise systems, APIs, or edge devices
• Experience with M365 Copilot deployment and Copilot Studio
• Experience using Microsoft’s Power Platform (Power Automate, Power BI, etc.)
• Hands-on experience with ML Ops tools (ML flow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines)
• Strong understanding of data structures, algorithms, and software engineering best practices
• Strong problem-solving mindset and curiosity
• Able to translate ambiguous business needs into technical solutions
• Comfortable working in fast-paced, iterative environments
• Clear communication with both technical and nontechnical stakeholders
• Understanding of AI governance, model monitoring, and responsible AI practices

Education and/or Experience

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field
• 3–5+ years of experience building and deploying machine learning or AI systems
• Eligible to work within government tenants (GCC, GCCH) and with FEDRAMP compliant solutions
• Bachelor’s degree in a technical field or equivalent experience
• Master’s degree in a technical field or equivalent experience
• Experience working in government tenants (GCC, GCCH) and with FEDRAMP compliant solutions
• Experience working in navy, shipbuilding, or related domains

Nice to Have

• Advanced programming skills in Python (e.g., PyTorch, TensorFlow, scikit-learn, FastAPI)
• Background in industrial automation, robotics, or IoT sensor data
• Experience building digital twins, simulation models, or optimization algorithms
• Familiarity with data engineering tools (Spark, Databricks, Kafka)
• Knowledge of DevOps and infrastructure-as-code

Physical Demands

• Regularly required to use hands and fingers to handle or feel and talk or hear
• Frequent sitting
• Occasional walking, reaching with hands and arms, stooping, kneeling, crouching, or crawling
• Occasional lifting to 25 pounds
• Vision requirements include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus

Work Environment

• The noise level in the work environment can vary

Benefits

Offers of employment are contingent on and not considered finalized until the required background check and drug test has been performed and the results received and accessed.