AI Engineer

Jobtailor

Alexandria (VA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Top Secret Clearance

Job summary

Jobtailor is seeking a senior data science leader to advance AI and agentic AI systems in production environments in the Washington, D.C. metro area. You will collaborate with multidisciplinary teams to deliver production-ready analytics platforms and scalable algorithms.

Requirements include 12+ years in data science or analytics, advanced degrees, and an active TS clearance. Expertise in AI/ML production engineering, LLMOps, Kubernetes deployments, and Python development is essential.

Qualifications

Bachelor’s or higher in a quantitative/analytical field (CS, Math, Stats, Eng, Physics, etc.).
12+ years of data science, analytics, or quantitative intelligence analysis.
Active TS clearance and eligibility for TS/SCI with Polygraph.
Experience collaborating with hybrid teams to build analytical platforms.
Experience with AI/ML production engineering, LLMOps/MLOps, and Kubernetes-based deployments.

Responsibilities

Support development and operation of AI systems in production environments.
Collaborate with analysts, engineers, and developers to solve complex challenges.
Deliver production-ready algorithms and platforms.
Apply techniques in statistical analysis, predictive analytics, and explainable AI.
Integrate AI, DevSecOps, data/platform engineering, cybersecurity, and observability in fast-paced environments.

Skills

AI/ML production engineering

Statistical analysis

Predictive analytics

Python development

Active Top Secret clearance

Kubernetes-based AI deployments

OpenAI-compatible APIs

GPU inference optimization

RAG architectures

AI/agentic AI systems development

Education

Bachelor’s Degree

Master’s Degree

Top Secret Clearance

Tools

Kubernetes

DevSecOps

Data Engineering

Platform Engineering

Cybersecurity

Job description

Responsibilities

Support the development and operationalization of AI and agentic AI systems in production mission environments
Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges
Deliver innovative, production-ready algorithms and platforms
Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics
Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast‑paced, engineering‑centric environment

Requirements

Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.)
12+ years of experience in data science, analytics, or quantitative intelligence analysis
Active Top Secret clearance and eligibility for TS/SCI with Polygraph
Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user‑friendly analytical platforms
Experience with AI/ML production engineering, LLMOps/MLOps, RAG architectures, AI orchestration frameworks, Kubernetes‑based AI deployments, OpenAI‑compatible APIs, Python development, GPU inference optimization

Core Competencies

Demonstrates expertise in AI and agentic AI systems development, with a strong foundation in statistical analysis, predictive analytics, and AI/ML production engineering. Proven ability to collaborate with multidisciplinary teams to deliver innovative, user‑friendly analytical platforms in fast‑paced environments.

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