AI Engineer

Jobtailor; Rockville (MD); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor seeks a senior data science specialist to lead the development and operationalization of AI and agentic AI systems in mission environments. You will work with analysts, engineers, and developers to solve complex challenges and deliver production‑ready algorithms and platforms.

The role requires deep expertise in AI/ML production engineering, MLOps, and advanced analytics, plus collaboration across teams to integrate AI with security, observability, and platform engineering.

Qualifications

• 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, developing analytics and AI/ML solutions (4+ years with a Master’s)
• 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, and Python development.
• Experience with GPU inference optimization.
• Preferred Qualifications: Experience supporting military or intelligence community customers.
• Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).

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 and 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.

Skills

AI/ML production engineering

LLMOps

RAG architectures

AI orchestration frameworks

Kubernetes AI deployments

OpenAI-compatible APIs

Python development

GPU inference optimization

Education

Quantitative/analytical degree

Tools

Azure/C2S

Hardware platforms (CPUs/GPUs/FPGAs)

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 and 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, developing analytics and AI/ML solutions (4+ years with a Master’s)
• 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, and Python development.
• Experience with GPU inference optimization.
• Preferred Qualifications: Experience supporting military or intelligence community customers.
• Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).

Core Competencies

Demonstrates expertise in developing and operationalizing AI and agentic AI systems, with a strong focus on collaboration within multidisciplinary teams to deliver innovative analytics solutions. Proficient in AI/ML production engineering, statistical analysis, and advanced analytical methodologies relevant to mission environments.