Bachelor's degree with 14+ years of experience; Master's with 12+ years; PhD or JD with 9+ years.
Active TS/SCI Clearance with Polygraph.
Proven ability to engage with senior government leadership.
Strong experience with Agile methodologies and project lifecycles.
Experience with AI/ML technologies and model integration.
Responsibilities
Lead project management and technical initiatives for AI/ML and data analytics.
Establish project scope, metrics, and deliverables.
Prioritize requirements using Agile methodologies.
Identify risks and develop mitigation strategies.
Provide technical support to Contracting Officer's Technical Representatives (COTRs).
Document workflows and produce various technical documentation.
Coordinate cross-functional teams and vendor activities.
Benefits
Flexible work environment with ongoing application acceptance.
Opportunities for professional development and mentorship.
Access to cutting-edge AI/ML projects in a mission-critical setting.
Full Job Description
Job Description
Description
SAIC is seeking an expert-level Systems Engineer to provide strategic program management and SETA support for multiple AI/ML and data analytics initiatives within a mission-critical intelligence environment. This role requires a dynamic leader who can interface with senior government stakeholders, coordinate cross-functional teams and vendors, drive complex projects from concept through deployment, and provide technical guidance on government contracting and acquisition activities.
Responsibilities may include but are not limited to:
Project Management and Technical Leadership.
Establish scope, metrics, roadmaps, and deliverables for AI/ML and data analytics projects.
Prioritize requirements with program teams using Agile methodologies.
Identify risks and develop/monitor mitigations.
Provide technical support and guidance to COTRs on contract performance and technical matters.
Monitor and respond to action items, process access requests, and coordinate preparation of weekly highlights.
Support division leadership by maintaining high-level awareness of all AI/ML projects across the division.
Mentor junior staff and interns
Systems Engineering, Documentation, and Knowledge Management
Document workflows, processes, and requirements.
Produce a wide range of documentation including senior leadership briefings, strategic plans, CONOPS, risk matrices, etc.
Maintain knowledge repositories (Confluence, Hive) and distribution lists
Stakeholder Engagement and Cross-Functional Coordination
Coordinate and facilitate TEMs with government stakeholders, development teams, and vendors.
Serve as liaison between division and department front office team.
Coordinate vendor activities across multiple contracts, removing blockers and ensuring alignment.
Facilitate demonstrations, training sessions, and outreach activities.
Coordinate weekly division meetings with comprehensive action tracking and follow-up.
Technical Evaluation and Analysis
Test and evaluate developing AI/ML platforms and capabilities to assess functionality and readiness.
Analyze data and create user feedback mechanisms to inform development priorities and decision-making
Qualifications
Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience
Active TS/SCI Clearance with Polygraph
Leadership and Government Engagement
Proven ability to interface with senior government leadership and influence critical program decisions.
Experience working with diverse stakeholders, including technical teams, project managers, and end users.
Knowledge of government contracting and acquisition processes, including FAR, OTA, and COTR roles.
Ability to provide technical support and guidance to COTRs.
Systems Engineering and Project Management
Strong experience with Agile methodologies and sprint-based development.
Understanding of software and system development lifecycles.
Experience managing full project lifecycles from concept through deployment.
Experience documenting workflows, processes, and CONOPS.
Knowledge of requirements gathering, analysis, and prioritization methods.
Experience identifying project risks and developing/monitoring mitigations.
AI/ML and Data Analytics
Experience with AI/ML technologies and model integration into systems.
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Understanding of deep learning concepts and architectures.
Experience evaluating or testing developing AI/ML platforms.
Ability to collect, analyze, and visualize data to support decision-making.
Experience capturing UI/UX requirements to inform product development.
Experience working with large language models (LLMs).
Communication and Coordination
Exceptional written and verbal communication skills, with ability to tailor messaging to technical and executive audiences.
Strong facilitation and coordination skills across cross-functional teams.
Experience producing technical documentation, presentations, A&A artifacts, and leadership briefings.
Tools and Technical Skills
Self-starter with strong analytical and problem-solving skills.
Proficiency with collaboration and knowledge management platforms (Confluence, Hive).
Proficiency with MS Outlook, PowerPoint, Word, Excel, and SharePoint.
Strong organizational skills managing multiple concurrent priorities in a fast-paced environment.
Target salary range: $180,001 - $220,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
About SAIC
Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
