Senior Artificial Intelligence/Machine Learning Engineer

Jobtailor; Fort Meade (MD); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking a highly skilled AI/ML engineer to design LLM-powered workflows and agent-based automation for mission-focused environments. You will collaborate with operators, analysts, and leadership to translate workflows into automated capabilities, integrating with existing systems while meeting stringent security requirements.

The role requires experience with Python, AI/ML frameworks, and cloud platforms (AWS/Azure) in restricted or classified settings, plus TS/SCI clearance with

Qualifications

• Experience capturing user workflows and translating them into structured automation requirements.
• Experience designing or implementing LLM-based or agentic workflows with multi-step reasoning, tool integrations, and orchestration.
• Experience integrating AI systems with APIs, enterprise data stores, or mission platforms.
• Experience with programming languages such as Python.
• TS/SCI clearance with a polygraph required.
• Bachelor’s degree and 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments, or 6+ years of such experience in lieu of a degree.
• Experience engineering AI capabilities in on-premise or multi-classification environments.
• Experience with AWS or Azure, including work in restricted or classified environments.
• Experience with AI / LLM development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI.
• Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp.
• Experience with cyber or intelligence workflows, operational data types, or mission-oriented analytical processes.

Responsibilities

• Work directly with mission users to capture workflows and translate them into automated capabilities.
• Design and implement LLM-powered workflows, agent-based automation, or hybrid solutions.
• Streamline analytical tasks and improve data accessibility to support fast decision-making.
• Collaborate with operators, analysts, developers, and mission leadership.
• Integrate solutions with existing systems and ensure reliable production performance.
• Adhere to security and governance expectations of classified environments.

Skills

Python Programming

LLM-Based Workflows

Workflow Capture

AI System Integration

AWS/Azure Experience

Security Clearance TS/SCI

On-Premise / Classified Environments

ML Frameworks (PyTorch/TensorFlow)

LangChain/LangGraph/PydanticAI/CrewAI

APIs & Data Stores Integration

Education

Bachelor’s degree in AI/ML or related field

6+ years experience in lieu of degree

Tools

LangChain

LangGraph

PydanticAI

CrewAI

PyTorch

TensorFlow

VLLM

llama.cpp

Job description

• Work directly with mission users to capture workflows, document operational decision points, and translate them into effective AI-enabled capabilities
• Design and implement LLM-powered workflows, agent-based automation, or hybrid solutions based on mission needs
• Streamline analytical tasks and improve data accessibility
• Support rapid, informed decision-making in high-tempo environments
• Collaborate with operators, analysts, developers, and mission leadership
• Integrate solutions with existing systems
• Ensure solutions perform reliably in production
• Adhere to security and governance expectations of classified environments

Requirements

• Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
• Experience designing or implementing LLM-based or agentic workflows, including multi-step reasoning, tool integrations, and orchestration
• Experience integrating AI systems with APIs, enterprise data stores, or mission platforms
• Experience with programming languages such as Python
• TS/SCI clearance with a polygraph required
• Bachelor’s degree and 3+ years of experience in AI / ML engineering, data science, or software engineering within cyber, intelligence, or national security environments, or 6+ years of such experience in lieu of a degree
• Experience engineering AI capabilities in on-premise or multi-classification environments
• Experience with AWS or Azure, including work in restricted or classified environments
• Experience with AI / LLM development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI
• Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp
• Experience with cyber or intelligence workflows, operational data types, or mission-oriented analytical processes

Core Competencies

Demonstrates expertise in designing and implementing AI-enabled workflows, particularly LLM-based solutions, while ensuring integration with existing systems and adherence to security protocols in classified environments. Proven ability to capture user workflows and translate them into structured automation requirements to support decision-making in high-tempo settings.

Highest-signal resume keywords

• LLM-Based Workflow Design
• AI System Integration
• Python Programming
• TS/SCI Clearance
• AWS or Azure Experience

Hard Skills

• AI / ML Engineering
• Data Science
• Software Engineering
• Process Mapping
• Automation Requirements
• Multi-Step Reasoning
• Tool Integration
• Orchestration
• ML Frameworks
• AI / LLM Development Frameworks

Soft Skills

• Collaboration
• Communication
• Decision-Making
• Adaptability
• Problem-Solving

Certifications & Qualifications

• TS/SCI Clearance with Polygraph

Industry Keywords

• Cyber
• Intelligence
• National Security
• Operational Data Types
• Mission-Oriented Analytical Processes

Tools & Technologies

• LangChain
• LangGraph
• PydanticAI
• CrewAI
• PyTorch
• TensorFlow
• VLLM
• Llama.cpp