Lead Engineer – Multi-Year Agreement Systems Engineering

Jobtailor

Atlanta (GA)

On-site

USD 120,000 - 190,000

Full time

2 days ago

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Job summary

Jobtailor seeks a senior Mechanical/Systems engineer focused on gas turbine design and lifecycle management. You will lead cross-functional programs from concept to implementation, leveraging AI-driven analytics to drive risk assessment and cost reductions.

Your work includes integrating AI tools and automation into risk models, collaborating with NPI, Module Engineering, Reliability, and Repair teams, and aligning technical docs with Engineer 2030 standards.

Qualifications

Bachelor’s or Master’s in Engineering; Mechanical, Aerospace, or Systems Engineering preferred
For U.S.-based roles, minimum 3 years of hands-on experience in gas turbine design, operation, or repair processes
For roles outside the USA, proven hands-on experience in gas turbine design, operation, or repair processes
Proven track record leading cross-functional engineering programs from concept to implementation
Experience with data analytics, automation scripting such as Python or SQL, or AI/ML-driven modeling
Ability to present data-backed technical business cases to leadership resulting in documented process improvements or cost-reduction initiatives
Proven history of meeting aggressive project timelines while maintaining high quality standards
Familiarity with lifecycle management and operation/maintenance of heavy-duty gas turbine equipment
Experience applying Systems Engineering methodologies to large-scale, multidisciplinary projects
Experience using digital tools such as Python, advanced statistical software, or predictive maintenance platforms
Excellent interpersonal and leadership skills, including mentoring others in new technologies
Ability to obtain U.S. Government authorization to access U.S. export-controlled information, if applicable
Legally authorized to work in the United States
Successful completion of a drug screen, as applicable

Responsibilities

Lead the Multi-Year Agreement life extension pipeline from idea to launch
Deliver annual backlog cost reduction for the MYA/Services business
Apply mechanical design fundamentals, statistics, and failure-mode analysis to evaluate risk versus reward
Leverage AI-driven tools and automation to improve MYA data quality and streamline risk evaluation workflows
Lead cross-functional reviews with the Chief Engineering Office using digital modeling tools and data-backed productivity cases
Collaborate with NPI, Module Engineering, Reliability, and Repair teams
Manage creep programs and influence transition toward Systems-as-a-Service digital maintenance models
Ensure technical documentation and risk assessments align with Engineer 2030 digital-first standards
Integrate AI and automation into risk modeling and lifecycle management

Skills

Gas Turbine Design

Data Analytics

AI/ML-Driven Modeling

Cross-Functional EngineeringLeadership

Systems Engineering Methodologies

Education

Bachelor’s or Master’s in Engineering

Tools

Python

SQL

AI-Driven Tools

Digital Modeling Tools

Automation Tools

Job description

Lead the Multi-Year Agreement life extension pipeline from idea to launch
Deliver annual backlog cost reduction for the MYA/Services business
Apply mechanical design fundamentals, statistics, and failure-mode analysis to evaluate risk versus reward
Leverage AI-driven tools and automation to improve MYA data quality and streamline risk evaluation workflows
Lead cross-functional reviews with the Chief Engineering Office using digital modeling tools and data-backed productivity cases
Collaborate with NPI, Module Engineering, Reliability, and Repair teams
Manage creep programs and influence transition toward Systems-as-a-Service digital maintenance models
Ensure technical documentation and risk assessments align with Engineer 2030 digital-first standards
Integrate AI and automation into risk modeling and lifecycle management

Requirements

Bachelor’s or Master’s degree in Engineering; Mechanical, Aerospace, or Systems Engineering preferred
For U.S.-based roles, minimum 3 years of hands-on experience in gas turbine design, operation, or repair processes
For roles outside the USA, proven hands-on experience in gas turbine design, operation, or repair processes
Proven track record leading cross-functional engineering programs from concept to implementation
Experience with data analytics, automation scripting such as Python or SQL, or AI/ML-driven modeling
Ability to present data-backed technical business cases to leadership resulting in documented process improvements or cost-reduction initiatives
Proven history of meeting aggressive project timelines while maintaining high quality standards
Familiarity with lifecycle management and operation/maintenance of heavy-duty gas turbine equipment
Experience applying Systems Engineering methodologies to large-scale, multidisciplinary projects
Experience using digital tools such as Python, advanced statistical software, or predictive maintenance platforms
Excellent interpersonal and leadership skills, including mentoring others in new technologies
Ability to obtain U.S. Government authorization to access U.S. export-controlled information, if applicable
Legally authorized to work in the United States
Successful completion of a drug screen, as applicable

Core Competencies

Demonstrates expertise in Mechanical, Aerospace, or Systems Engineering with a strong focus on Gas Turbine Design, Operation, and Repair. Proficient in leveraging AI-driven tools and data analytics to enhance risk evaluation and lifecycle management processes.

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