BigBear.ai, Inc.

AI/ML Security Integration Engineer

BigBear.ai, Inc.$120K — $150K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in a Technical field + 10 years of experience
  • Active TS/SCI clearance with a Poly
  • Strong expertise in Large Language Models (LLM) including GPT-4, Claude, Llama
  • Proficiency in Retrieval-Augmented Generation (RAG) architectures
  • Experience with vector databases and semantic search technologies
  • Programming knowledge in Python for AI/ML workflows
  • Understanding of secure AI/ML deployment practices

Responsibilities

  • Configure and optimize Large Language Models for security compliance
  • Implement and maintain Retrieval-Augmented Generation architecture
  • Develop and manage customer-specific AI knowledge bases
  • Fine-tune LLM parameters and prompts for documentation standards
  • Implement secure data handling procedures for AI processing
  • Monitor performance of AI models and improve compliance outputs
  • Deploy LLMs in classified and air-gapped environments

Benefits

  • Work within a mission-driven environment focused on national security
  • Opportunity to influence AI technologies in federal deployments
  • Engagement with advanced AI/ML technologies
  • Collaboration with experts in AI and cybersecurity
  • Potential for professional development and certifications through projects
Full Job Description
Overview

BigBear.ai is seeking an AI/ML Security Integration Engineer with an active TS/SCI clearance with a Poly, to configuring, fine-tuning, and maintaining an ATO Automation Platform's Large Language Model (LLM) capabilities for secure operation within customer environments. This role ensures the AI components of the compliance automation platform function effectively while meeting stringent security requirements for federal deployments, including classified and air-gapped networks. This position will be based out of our Columbia, MD office but will support multiple customers in the Baltimore/Washington corridor and beyond.

What you will do

  • Configure and optimize the ATO Automation Platform's LLM backends (e.g. GPT-4, Claude Sonnet, Llama) based on customer security requirements and deployment constraints
  • Implement and maintain the Retrieval-Augmented Generation (RAG) architecture that powers the ATO Automation Platform's automated compliance documentation
  • Develop and manage customer-specific knowledge bases incorporating organizational policies, security guides, and system documentation for AI processing
  • Fine-tune LLM parameters and prompt engineering to ensure outputs match organization-specific documentation standards and terminology
  • Implement secure data handling procedures for AI processing of potentially sensitive system configurations and security information
  • Configure vector databases and enterprise search technologies that support the ATO Automation Platform's compliance knowledge graph
  • Monitor AI model performance and accuracy of generated compliance artifacts, implementing continuous improvement processes
  • Deploy approved LLM models in restricted environments including air-gapped networks and classified systems
  • Deploy and configure open-source Llama model in air-gapped DoD environment for processing IL5 system configurations
  • Fine-tune Claude Sonnet prompts to generate control implementation descriptions matching agency-specific SSP format requirements
  • Build custom RAG knowledge base incorporating customer's 500+ security policies and standard operating procedures
  • Implement data sanitization pipelines to redact classified markings before AI processing
  • Optimize vector embedding strategies to improve the ATO Automation Platform's accuracy in mapping code configurations to NIST 800-171 controls

What you need to have

  • Bachelor's Degree with a Technical concentration with at least 10 years of professional experience
  • TS/SCI with an active Poly clearance
  • Strong experience with Large Language Models and generative AI technologies (GPT-4, Claude, Llama)
  • Proficiency in implementing Retrieval-Augmented Generation (RAG) architectures
  • Experience with vector databases and semantic search technologies
  • Programming proficiency in Python for AI/ML workflows and automation
  • Understanding of prompt engineering and LLM fine-tuning techniques
  • Knowledge of secure AI/ML deployment practices and data handling
  • Experience with cloud-based AI services (AWS Bedrock, Azure OpenAI) and their government cloud implementations
  • Understanding of cybersecurity principles and secure software development

What we'd like you to have

  • Experience deploying AI/ML models in classified or air-gapped environments
  • Knowledge of AI governance frameworks and ISO 42001 (AI management systems)
  • Familiarity with compliance automation use cases and security control frameworks
  • Experience with natural language processing (NLP) for technical documentation
  • Understanding of model evaluation metrics and AI accuracy assessment
  • Background in federal AI adoption requirements and responsible AI principles
  • Certifications: AWS Machine Learning Specialty, Azure AI Engineer, TensorFlow Developer
  • Experience with containerized AI deployments and MLOps practices

About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

About BigBear.ai, Inc.

BigBear.ai is a leading provider of artificial intelligence and machine learning solutions that enable businesses to make better decisions by automating and augmenting their data analysis capabilities. The company's platform leverages advanced algorithms and data analytics tools to help organizations extract insights from large and complex data sets, and to develop predictive models that can be used to optimize business processes and improve operational efficiency. BigBear.ai's solutions are used by a wide range of industries, including defense, intelligence, finance, healthcare, and energy.
Learn more about BigBear.ai, Inc.
Size
200 employees
Market Cap
$90.6 million
Industry

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