Lead Systems Engineer | $250/hr | Remote

The Ai Training Company; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

The Ai Training Company is seeking seasoned Principal Systems Engineers and related leadership roles to guide a remote AI-enabled engineering program. You will lead multi-disciplinary teams and define system requirements, interfaces, and acceptance criteria for successful outcomes.

You will design plans for integration, verification, and validation, review risk and feasibility, and document architectural decisions to ensure the final system meets its purpose.

Qualifications

• Substantial professional experience as a Principal Systems Engineer, Lead Systems Engineer, Senior Systems Engineer, Systems Architect, or comparable technical leader.
• Proven experience leading complex engineering projects involving multiple technical disciplines.
• Strong expertise in requirements engineering and requirements decomposition.
• Strong experience with interface management and system integration.
• Strong understanding of verification and validation methodologies.
• Ability to break complex programs into clear, connected engineering tasks.
• Ability to define measurable technical objectives and acceptance criteria.
• Strong engineering judgment and structured problem-solving ability.
• Strong written and verbal communication skills.
• Comfortable working independently in a remote environment.

Responsibilities

• Design realistic engineering projects involving multiple technical disciplines.
• Translate high-level objectives into clear system requirements, technical constraints, interfaces, and measurable acceptance criteria.
• Break complex engineering programs into connected tasks with defined inputs, outputs, dependencies, and ownership.
• Define responsibilities for mechanical, electrical, hardware, software, manufacturing, test, and other engineering contributors.
• Identify critical interfaces and dependencies between subsystems.
• Develop realistic integration, verification, and validation plans.
• Review engineering approaches for completeness, feasibility, consistency, and technical risk.
• Define objective evaluation criteria for complex engineering deliverables.
• Identify ambiguous requirements, missing assumptions, conflicting constraints, and integration risks.
• Document engineering reasoning, trade-offs, system architecture decisions, and validation expectations clearly.
• Contribute real-world systems engineering expertise to help evaluate how AI systems plan and execute multidisciplinary engineering work.

Skills

Systems engineering leadership

Requirements engineering

Interface management

System integration

Verification & validation

Remote work

Structured problem-solving

Communication skills

Education

Master's degree or PhD in Systems Engineering or related field

Tools

MBSE

SysML

DOORS

Jama

Polarion

Cameo

Capella

Enterprise Architect

Job description

We are seeking experienced Principal Systems Engineers, Lead Systems Engineers, Systems Architects, and Multidisciplinary Engineering Leaders to contribute to a remote AI project focused on complex, real-world engineering workflows.

You will design realistic engineering projects, define requirements and technical constraints, coordinate work across multiple engineering disciplines, and establish clear acceptance criteria for evaluating system-level outcomes.

What You’ll Do

• Design realistic engineering projects involving multiple technical disciplines.
• Translate high-level objectives into clear system requirements, technical constraints, interfaces, and measurable acceptance criteria.
• Break complex engineering programs into connected tasks with defined inputs, outputs, dependencies, and ownership.
• Define responsibilities for mechanical, electrical, hardware, software, manufacturing, test, and other engineering contributors.
• Identify critical interfaces and dependencies between subsystems.
• Develop realistic integration, verification, and validation plans.
• Review engineering approaches for completeness, feasibility, consistency, and technical risk.
• Define objective evaluation criteria for complex engineering deliverables.
• Identify ambiguous requirements, missing assumptions, conflicting constraints, and integration risks.
• Document engineering reasoning, trade-offs, system architecture decisions, and validation expectations clearly.
• Contribute real-world systems engineering expertise to help evaluate how AI systems plan and execute multidisciplinary engineering work.

Who Can Apply

Relevant backgrounds include Principal Systems Engineers, Lead Systems Engineers, Senior Systems Engineers, and Chief Systems Engineers.

We also welcome Systems Architects, System Design Engineers, System Integration Engineers, and Technical Systems Leads.

Engineering leadership backgrounds may include Technical Leads, Principal Engineers, Staff Engineers, Chief Engineers, and Engineering Leads with substantial systems ownership.

Integration backgrounds may include System Integration Engineers, Integration and Test Engineers, Verification and Validation Engineers, and Systems Test Leads.

Requirements backgrounds may include Requirements Engineers, Requirements Managers, Systems Analysts, and Technical Requirements Leads.

Additional relevant backgrounds include Multidisciplinary Engineering Managers, Technical Program Engineers, Product Systems Engineers, and Engineering Architects with direct technical ownership.

Requirements

• Substantial professional experience as a Principal Systems Engineer, Lead Systems Engineer, Senior Systems Engineer, Systems Architect, or comparable technical leader.
• Proven experience leading complex engineering projects involving multiple technical disciplines.
• Strong expertise in requirements engineering and requirements decomposition.
• Strong experience with interface management and system integration.
• Strong understanding of verification and validation methodologies.
• Ability to break complex programs into clear, connected engineering tasks.
• Ability to define measurable technical objectives and acceptance criteria.
• Strong engineering judgment and structured problem-solving ability.
• Strong written and verbal communication skills.
• Comfortable working independently in a remote environment.

Preferred Background

• Master’s degree or PhD in Systems Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, Aerospace Engineering, or a related technical discipline.
• Experience with model-based systems engineering and SysML.
• Experience with DOORS, Jama, Polarion, Cameo, Capella, Enterprise Architect, or similar systems engineering tools.
• Experience leading multidisciplinary projects from initial concept through integration, testing, and delivery.
• Experience defining and managing subsystem interfaces.
• Experience conducting architecture reviews, requirements reviews, integration reviews, or verification readiness reviews.
• Experience with trade studies, risk analysis, FMEA, or reliability engineering.
• Experience in aerospace, automotive, robotics, industrial automation, medical devices, defense, energy, transportation, or other complex engineering environments.

This opportunity is ideal for senior systems engineering leaders who can take a complex multidisciplinary objective, define the system requirements and architecture, decompose the work across engineering teams, manage interfaces and dependencies, and establish clear verification criteria that determine whether the final system actually meets its intended purpose. We are a referral partner of the client.