AI/ML Cloud Systems Engineer IV (TS/SCI)

Base-2 Solutions; Maryland; On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical premiums

Dental premiums

Vision premiums

Disability insurance

Life insurance

401(k) plan

PTO

Floating holidays

Flexible work options

Job summary

Base-2 Solutions seeks a Systems Engineer 4 to apply systems engineering across the full life cycle, focusing on AWS, AI/ML systems, security, and data lifecycle management. The role interfaces with government stakeholders and senior executives to ensure technical integrity and quality of work products.

Responsibilities include architecture, verification, and transition activities, with emphasis on cloud and platform engineering efforts in AI-enabled environments.

Qualifications

• Active TS/SCI with Full Scope Polygraph is required.

Responsibilities

• Apply systems engineering principles across all life cycle phases: concept to retirement.
• Interface with Government regarding technical considerations and issues.
• Communicate with program personnel, government overseers, and senior executives.
• Ensure technical integrity, quality, and completeness of deliverables across ISO/IEC 15288 areas.
• Support process areas: requirements, architecture, verification, transition, operation, disposal.
• Support project & enterprise process areas including planning, risk, configuration, information, and measurement.

Skills

Systems engineering

AWS cloud

AI/ML systems

Security & compliance

Data lifecycle management

Stakeholder communication

Education

High School Diploma / GED – 14 years experience

Associates Degree – 14 years experience

Bachelor's Degree – 10 years experience

Master's Degree – 8 years experience

PhD – 8 years experience

Tools

Amazon SageMaker

Job description

Base-2 Solutions seeks a Systems Engineer 4 to apply systems engineering across the full life cycle, focusing on AWS, AI/ML systems, security, and data lifecycle management. The role interfaces with government stakeholders and senior executives to ensure technical integrity and quality of work products.

Responsibilities include architecture, verification, and transition activities, with emphasis on cloud and platform engineering efforts in AI-enabled environments.