Expert Software Engineer ( AI & Cybersecurity)

J.B. Hunt Transport Services, Inc.Lowell, AR
Onsite

About The Position

Under general supervision, the Expert Software Engineer is responsible for applying advanced software engineering techniques—including artificial intelligence where it is the best fit—during development and design tasks. This position designs, develops, and implements secure, scalable solutions (AI-driven, automated, and analyst-assisted) that support Cybersecurity Incident Response, Cybersecurity Vulnerability Management, and Cybersecurity Threat Intelligence. The incumbent ensures solutions align with J.B. Hunt’s architectural, security, and risk management standards while enabling safe adoption of AI and complementary technologies across critical security workflows.

Requirements

  • Bachelor’s degree in Computer Information Systems, Computer Science, Computer Engineering, Computer Technology, or related, or foreign equivalent with 5 years of experience in software engineering or related field, or suitable combination of education, experience, and training OR Master’s degree in Computer Information Systems, Computer Science, Computer Engineering, Computer Technology, or related, or foreign equivalent with 3 years of experience in software engineering or related field, or suitable combination of education, experience, and training
  • Demonstration of the following:
  • Experience participating in advanced software and system design activities, including distributed and cloud-native architectures
  • Ability to deliver high-quality solutions in complex, ambiguous problem spaces
  • Professional experience with one or more object-oriented or modern programming languages (e.g., Java, .NET/.NET Core, Python) supporting RESTful, event-driven, and automation-based architectures
  • Professional experience designing or integrating AI-driven systems, including LLMs, machine learning services, prompt engineering, and agent orchestration frameworks
  • Experience implementing user interfaces or service APIs that support analyst-driven and automated security workflows
  • Professional experience interacting with relational, NoSQL, graph, or search-oriented data stores commonly used in security and analytics platforms
  • Familiarity with cloud platforms, containerization, CI/CD pipelines, and secure deployment of AI-enabled services
  • Experience integrating with cybersecurity platforms such as SIEM, SOAR, EDR/XDR, Vulnerability Management, Threat Intelligence, or security automation workflows
  • Strong troubleshooting skills across software, AI behavior, and system integrations

Responsibilities

  • Evaluate, design, and provide guidance on implementing AI, automation, and decision-support capabilities within cybersecurity platforms and workflows
  • Provide technical leadership across engineering and cybersecurity teams, including conducting training, developing learning sessions, and contributing to architecture and security review boards
  • Contribute to application and platform architecture standards through standards committees, with emphasis on secure automation, integration patterns, and risk-aware design (including secure AI adoption where applicable)
  • Design, build, and enhance software components used in incident response, vulnerability management, and threat intelligence, including workflow orchestration, integrations, and AI-enabled and agentic systems
  • Design, build, and enhance software components used in incident response, vulnerability management, and threat intelligence, including workflow orchestration, integrations, and AI-enabled and agentic systems
  • Ensure code quality, reliability, and safety by designing effective unit, integration, performance, and AI-specific testing (e.g., validation, prompt safety, and output verification)
  • Collaborate with cybersecurity practitioners, product managers, and user experience teams during story refinement to ensure high-quality requirements, explainable system behavior, and achievable solutions
  • Continuously build and maintain cybersecurity domain knowledge, including relevant frameworks, tools, and threat landscape concepts, to effectively partner with cybersecurity teams and deliver fit-for-purpose solutions
  • Act as a technical consultant to management by leveraging deep software engineering and cybersecurity domain knowledge to advise on design decisions, risk tradeoffs, and implementation strategies
  • Analyze complex technical and security challenges, including AI failure modes, integration bottlenecks, and scale constraints; troubleshoot issues and implement effective solutions
  • Support secure integration with security platforms such as SIEM, SOAR, EDR/XDR, vulnerability management tools, cloud platforms, and threat intelligence feeds
  • Train, mentor, coach, and onboard junior engineers on advanced software engineering principles, AI development patterns, and secure coding practices

Benefits

  • medical benefit
  • dental benefit
  • vision benefit
  • 401(k) retirement plan
  • life insurance
  • short-term and long-term disability coverage
  • paid time off commensurate with tenure (includes vacation and sick time)
  • six weeks of paid maternity leave
  • two weeks of paid parental leave
  • six paid holidays annually
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