Systems Engineer 3 (AI-focused) with Security Clearance

Base-2 Solutions; Maryland; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) with match (8%)

Company-paid health premiums

Paid time off

Floating holidays

Flexible work schedules

Job summary

Base-2 Solutions is seeking a Systems Engineer 3 to support AI-focused cloud and platform engineering endeavors. The role emphasizes cloud architecture, AI/ML system design, security, and data lifecycle management.

The engineer will analyze requirements, lead design efforts, and develop technical plans and documentation for integration into ongoing operations. A strong emphasis on collaboration with government stakeholders and senior leaders is required.

Qualifications

• Active TS/SCI with Full Scope Polygraph clearance required.
• Experience with cloud architecture and AWS.
• Experience with AI/ML system design and implementation.
• Ability to analyze requirements and develop technical documentation.
• Strong communication and collaboration with government stakeholders.

Responsibilities

• Analyze user requirements and derive system requirements specifications.
• Lead design and development activities for complex systems.
• Provide technical leadership for requirements integration and technology.
• Develop technical documentation and system design artifacts.
• Interface with government personnel and senior executives on issues.
• Support system development, planning, and test planning.

Skills

Cloud architecture

AI/ML systems

AWS

SageMaker

DevOps/MLOps

stakeholder communication

Education

High School Diploma/GED

Associate's Degree

Bachelor's Degree

Master's Degree

PhD

Tools

Amazon SageMaker

Job description

Job Description Position Summary Base-2 Solutions is seeking a Systems Engineer 3 to support AI-focused cloud and platform engineering efforts. This role applies systems engineering expertise to requirements analysis, system design, technical planning, documentation, and integration of new capabilities into ongoing operations, with emphasis on cloud architecture, AI/ML systems, security, and data lifecycle management. Essential Duties and Responsibilities

• Analyze user requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications.
• Analyze system requirements and lead design and development activities.
• Guide users in formulating requirements, advise on alternative approaches, and conduct feasibility studies.
• Provide technical leadership for the integration of requirements, design, and technology.
• Incorporate new plans, designs, and systems into ongoing operations.
• Develop technical documentation.
• Develop system architecture and system design documentation.
• Guide system development and implementation planning through assessment or preparation of system engineering management plans and system integration and test plans.
• Interface with the Government regarding systems engineering technical considerations and associated problems, issues, or conflicts.
• Maintain responsibility for the technical integrity of work performed and deliverables associated with the systems engineering area of responsibility.
• Communicate with program personnel, government overseers, and senior executives.
• Active TS/SCI with Full Scope Polygraph.
• Experience in systems engineering sufficient to meet one of the stated education/experience pathways.
• Ability to analyze requirements, support system design, and develop technical documentation.
• Ability to support system development, implementation planning, and systems integration and test planning.
• Ability to interact with Government stakeholders and communicate with technical and senior leadership audiences.
• Experience with cloud architecture, cloud engineering, or platform engineering, especially in AWS.
• Experience with AI/ML system design and implementation.
• High-level understanding of the AI lifecycle, including development, training, inference, and monitoring.
• Experience with ML pipeline development, model deployment, and DevOps/MLOps.
• Experience with system security and networking, particularly implementation of system security on classified systems.
• Experience with data engineering and data lifecycle management.
• Excellent communication and collaboration skills with varied stakeholder groups and the ability to proactively engage them to understand requirements and inform system architecture decisions.
• Experience with Amazon SageMaker.
• High School Diploma/GED with 12 years of experience.
• Associates Degree with 12 years of experience.
• Bachelors' Degree with 7 years of experience.
• Masters' Degree with 5 years of experience.
• PhD with 3 years of experience.
• None specified.
• Active TS/SCI with Full Scope Polygraph.
• Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
• Employee referral bonuses up to $10,000 per hired referral.
• Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
• 100% company-paid medical premiums for employees and eligible dependents.
• Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
• 100% company-paid dental premiums for employees and eligible dependents.
• 100% company-paid vision premiums for employees and eligible dependents.
• 100% company-paid premiums for short-term disability.
• 100% company-paid premiums for long-term disability.
• 100% company-paid premiums for accidental death & dismemberment (AD&D).
• 100% company-paid premiums for life insurance up to $200,000.
• 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
• 401(k) pre-tax and Roth options.
• Up to 20 days of flexible paid time off (PTO).
• 11 paid floating holidays.
• Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).