AI & Analytics Solutions Engineer

Trident Maritime Systems,•Arlington, VA

1d•Hybrid

About The Position

As part of the Information Operations team, the AI & Analytics Solutions Engineer, designs, builds, and deploys intelligent systems that enhance operational efficiency, automate decisionmaking, and unlock new capabilities across the organization. This role blends software engineering, machine learning, and analytics to develop productionready AI and analytics solutions. In our environment, this may include solutions related to corporate finance, predictive maintenance, defect detection, and process optimization.

Requirements

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 CopilotStudio
Experience using Microsoft’s Power Platform (Power Automate, PowerBI, etc.)
Hands‑on experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines)
Strong understanding of data structures, algorithms, and software engineering best practices
Strong problem-solving mindset and curiosity
Ability 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

Nice To Haves

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
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

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