Leidos

Data Scientist

• Lead the development of predictive models and data-driven insights for a variety of mission-critical applications.
• Collaborate with domain experts to understand complex operational challenges and apply advanced data science and machine learning techniques to solve them.
• Ensure the quality, integrity, and ethical use of data in all AI and analytics projects, adhering to trusted and responsible AI principles.
• Communicate complex analytical findings, outcomes, and recommendations clearly to both technical and non-technical stakeholders to drive decision-making.
• Stay current with industry trends and advancements in data science and machine learning, and advocate for their integration into our solutions.

Senior Data Scientist

Artificial Intelligence

• Execute targeted campaigns to build a vibrant, AI-fluent culture
• Design and create compelling content, including blog/vlog posts, presentations, and internal communications
• Organize, facilitate, and manage events, workshops, and other initiatives
• Collaborate with internal teams and stakeholders to champion AI initiatives
• Assist in tracking and reporting on the effectiveness of engagement initiatives

AI Engagement & Enablement Specialist

Systems Engineer

• Develop and deploy enterprise-scale agentic AI systems, including Multi-Agent and Agent-to-Agent (A2A) workflows, leveraging common industry standards, such as the Model Context Protocol (MCP), to create interoperable and scalable AI agents.
• Implement robust MCP Tools and Resources to securely expose data and functionality, enabling LLMs to interact with internal systems and APIs in a standardized way.
• Contribute to the architecture and implementation of a centralized 'AI Gateway' to ensure platform independence, Large Language Model (LLM) agnostism, and provide a unified interface for leveraging various LLMs.
• Implement and manage robust observability pipelines to track trace-level data, monitor model latency, and optimize the cost and performance of Generative AI systems in production.
• Collaborate closely with principal engineers, data scientists, and systems architects to translate strategic designs into hardened, production-grade solutions.
• Implement and maintain robust AI guardrails to filter inputs and outputs, preventing data leakage (both into unsecure systems and future LLMs), prompt injection, and other adversarial attacks.
• Apply and promote software engineering best practices, including robust version control, comprehensive automated testing, and mature CI/CD processes for AI systems.
• Stay current with industry trends in agentic AI, operational AI, and MLOps to continuously evolve the team's capabilities and technical implementation.

Principal Agentic AI Systems Engineer

AI Engineer

• Develop and implement enterprise-scale Responsible AI systems and governance frameworks, ensuring they meet the ethical, performance, and security requirements for mission-critical applications.
• Contribute to the architecture and implementation of a centralized "Responsible AI Framework" to ensure compliance, manage model access, and provide a unified interface for governance and risk management.
• Implement and manage robust monitoring systems to track model performance, fairness, bias, and ethical compliance, and to optimize the cost-effectiveness of AI systems in production.
• Work closely with principal engineers, data scientists, and systems architects to translate strategic designs into hardened, production-grade solutions that embed fairness, accountability, and transparency principles.
• Establish and maintain robust AI governance frameworks and guardrails to ensure data integrity, filter inputs/outputs, prevent bias, mitigate deployment risks, and protect against adversarial attacks.
• Apply and promote software engineering best practices, including robust version control, comprehensive automated testing, and mature CI/CD processes for AI systems.
• Stay current with industry trends in Responsible AI, Explainability (XAI), operational AI, and MLOps to continuously evolve the team's capabilities and technical implementation.

Principal Responsible AI Engineer

Human Resources

• Serve as point of contact for employees on HR matters including complex benefits and HR issues
• Perform troubleshooting on a variety of issues
• Refer issues to Supervisor, or Manager, Employee Services in accordance with escalation procedures
• Facilitate resolution to employee and manager inquiries; provide benefits/leave subject matter expertise
• Provide administrative support for benefit programs
• Provide employee and manager support for Workday Learning questions and issues
• Communicate updates and changes to benefit programs to employee populations
• Act as a point of contact for information residing on the knowledge-based system
• Utilize the case management tool to track issues and escalations
• Collaborate with other HR service delivery areas, HR leadership, etc. on new and existing programs and process improvement initiatives
• Maintain flexibility and a positive attitude toward innovation and change

Human Resource Specialist, Employee Services

Network Engineer

• Support Current Operations for the United States Navy by providing VPN, WAN, DMZ, Firewall, and Cisco Network Engineering Subject Matter Expertise (SME) for the largest Intranet in the world.
• A qualified candidate for this position would be responsible for network modification, operation, integration, maintenance, security, and implementation of services for the as-fielded NMCI network.
• Collaborates with the Network Operations Center, Network Administrators, and the Network Engineering Team to define and/or continuously improve: Network Security Appliances (i.e., DMZ, VPN, Firewalls, WAN, Cisco ASA/Firepower solutions).
• Test and Validate Automation and best practice insertion opportunities.
• Leads development of Network SOPs/TTPs.
• Continuous Service Improvements (CSI).
• System performance tuning and enhancements.
• Create and maintain Engineering Implementation Plans (EIP).
• Plans and executes network upgrades and maintenance activities with the NMCI Operations Manager, NOC Lead, Release Management team, and other key stakeholders.
• Tier III escalation support and vendor engagement supporting Incident Management activities.
• Active participation in Root Cause Analysis for Problem Management activities.

VPN, DMZ and WAN Network Engineer

• Lead the technical execution of data science projects, from problem formulation and data exploration to model development, validation, and deployment.
• Apply advanced techniques, including machine learning, predictive modeling, and statistical analysis, to extract actionable insights from large and complex datasets.
• Work closely with stakeholders and domain experts to understand business needs, define technical requirements, and translate them into data science tasks.
• Provide technical guidance and mentorship to junior data scientists on advanced analytics, machine learning techniques, and best practices.
• Ensure the quality, rigor, and scalability of data science solutions, adhering to trusted and responsible AI principles.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences to drive data-driven decision-making.
• Stay current with the latest advancements in data science and AI & ML, and champion their adoption to solve new and challenging problems.

Principal Data Scientist

Full-stack Engineer

• Integrate systems and data flows using Python, NiFi, and other integration frameworks.
• Engineer resilient solutions that can operate in austere, bandwidth limited, or air gapped conditions.
• Collaborate with cross functional teams to rapidly prototype and deliver mission critical capabilities.
• Troubleshoot and optimize code and workflows in real time.
• Document and harden solutions for long term maintainability in the field.

Senior Full Stack Developer

Backend Engineer

• Research, design, develop, and maintain enterprise systems for our Leidos clients using the JEE, Spring MVC, Spring JDBC, Bootstrap, jQuery, REST, SQL, PL/SQL, SonarQube, Git (Bitbucket), and JIRA in an Agile software development environment
• Create and update all relevant documentation and specifications for design, development, and testing
• Present concepts and be willing to challenge other team members’ designs as well as receive and incorporate feedback
• Assist in troubleshooting and fixing issues from the production environment
• Collaborate with customers, analysts, architects, DBAs, operations, and testers using Agile Scrum
• Responsible for creating maintainable, adaptable, scalable, defect-free code using software development best practices and coding standards
• Support the software configuration management process and understand software components and their interface requirements
• Ensure the quality of software deliverables and continuous improvement, as well as communicate effectively with the development teams and the customer on required tasks

Mid-Level Java Full Stack Software Developer

Security Engineer

• Propose, coordinate, implement, and enforce information systems security policies, standards, and methodologies
• Maintain operational security posture for information systems to ensure policies, standards, and procedures are established and followed
• Manage security aspects of information systems and perform daily security operations
• Evaluate security solutions and perform vulnerability/risk assessments
• Prepare and review security documentation including System Security Plans (SSPs) and Assessment and Authorization packages

Information System Security Professional, ISSO/ISSE

System Administrator

• Administer, maintain, and optimize VMware vSphere administration (ESXi, vCenter) 8.x environments
• Manage lifecycle of VMware infrastructure: upgrades, patching and cluster maintenance
• Perform day-to-day Linux systems administration on RHEL 8/9
• Build, deploy, patch, and harden Linux servers (physical and virtual) following STIG benchmarks and internal security standards
• Automate repetitive tasks using Ansible
• Perform capacity planning and performance analysis for both VMware and Linux environments
• Create and maintain detailed documentation, runbooks, and standard operating procedures
• Full lifecycle management of Red Hat Satellite Server

• Provide expert support for the M365 Power Platform
• Designing, developing, and delivering software solutions that enhance Microsoft product experiences
• Troubleshooting and collaborating with other technical groups like Service Desk, Datacomm, EUA, Security, and Engineering Teams
• Lead the architecture and design of enterprise PowerApps and Power Automate Flows
• Create and maintain workflows through Power Automate
• Conduct code reviews and solution assessments for Power Platform deliverables

M365 Power Platform Architect

ServiceNow

• Operational Support: Manage the ServiceNow support queue, resolving incidents and fulfilling service requests (e.g., user access, group management, and form adjustments).
• Basic Configuration: Build and update Service Catalogue items, modify Flow Designer workflows, and adjust UI Policies/Actions based on business requirements.
• Access Management: Administer user roles, groups, and ACLs to ensure security compliance and correct data visibility.
• Platform Maintenance: Assist the senior team with version upgrades, patching, and cloning activities, including executing test plans.
• Knowledge Management: Create and maintain technical documentation for the admin team and user guides for the wider business.

Junior ServiceNow Administrator

• Oversee the configuration and customization strategy ensuring compliance with ServiceNow best practices.
• Manage complex requirements through advanced configuration and scripting.
• Partner with business stakeholders to translate functional requirements into technical specifications.
• Lead the end-to-end upgrade cycle, including release notes review and testing framework oversight.
• Provide technical guidance and code reviews for Junior Administrators, fostering learning and quality within the team.
• Maintain the integrity of the CMDB and monitor overall platform health, proactively addressing performance bottlenecks.

Senior ServiceNow Administrator

Engineer

• Advising on technical requirements for products and services
• Supporting hardware
• Providing guidance on laptops, imaging, and mentoring junior staff
• Engaging with the established Leidos Support Team for escalations
• Working to address customer issues taking them to full resolution