Job Title: Senior Applied AI Engineer – Data Science & Analytics Level 3

Client Job ID: TTO16-028

Location: Maryland (Visionist HQ)

Contract: QUARTERCARAT

Clearance: TS/SCI w/Poly

Salary Range: $220,000 - $230,000 yearly

 

 

 

 

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Join a fast-moving AI team focused on delivering mission-critical AI capabilities that enable analysts and operators to make better, faster decisions. As a Senior Applied AI Engineer specializing in Data Science & Analytics, you will develop AI-enabled analytical tools that transform large and complex datasets into actionable mission insights. You will work directly with mission customers to understand analytical challenges, identify opportunities for artificial intelligence and machine learning, and rapidly prototype capabilities that solve real operational problems. Our team emphasizes customer collaboration, rapid iteration, and practical AI solutions over lengthy development cycles. This position is ideal for an engineer who enjoys combining data science, machine learning, and software engineering to create mission impact.

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Responsibilities:

• Design and develop AI-enabled analytics applications using Python and modern software engineering practices.

• Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets.

• Develop pattern-of-life, anomaly detection, clustering, and predictive analytics capabilities.

• Build retrieval-augmented generation (RAG) and LLM-powered workflows that enhance analytical processes.

• Collaborate directly with mission customers to understand datasets and develop AI-driven analytical solutions.

• Integrate structured and unstructured data into scalable AI applications.

• Evaluate emerging AI and machine learning techniques for mission applicability.

• Mentor junior engineers and contribute to technical direction across the team.

 

Required Skills:

• Experience developing production software using Python.

• Experience with data science, machine learning, or statistical analysis.

• Experience using libraries such as Pandas, NumPy, Scikit-learn, or similar.

• Experience building AI or machine learning applications.

• Strong analytical and problem-solving skills.

• Experience working with SQL, Elasticsearch, or other large-scale data platforms.

• Ability to communicate technical concepts to both technical and non-technical stakeholders.

• Experience collaborating directly with customers to solve analytical problems.

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Desired Skills

• Experience with LLMs, prompt engineering, or retrieval-augmented generation (RAG).

• Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis.

• Experience with data visualization tools and dashboard development.

• Experience deploying machine learning models into production.

• Experience supporting classified mission environments.

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YOE Requirement:

• 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.