Software Engineer, AI/ML

About the Company

GE Aerospace, a division of General Electric, is a global leader in aviation and aerospace technology, dedicated to advancing flight through innovative engineering and cutting-edge solutions. With a rich history of pioneering advancements, GE Aerospace focuses on delivering reliable, efficient, and sustainable aircraft engines, systems, and services to customers worldwide. The company emphasizes a culture of innovation, collaboration, and continuous improvement, leveraging the latest technological trends to maintain its competitive edge. Committed to fostering a diverse and inclusive work environment, GE Aerospace invests in its employees' growth and development, ensuring they are equipped to meet the evolving demands of the aerospace industry.

About the Role

The CES Business Intelligence team at GE Aerospace is at the forefront of developing next-generation AI-powered solutions aimed at enhancing commercial, contracts, and operations functions. We are seeking an experienced AI Engineer to join our dynamic team, responsible for transforming operational data into robust, production-grade machine learning pipelines, models, and large language model (LLM)-powered applications. This multifaceted engineering role involves designing and deploying AI/ML products, developing APIs, and collaborating with analytics teams to embed AI capabilities into existing operational tools. The ideal candidate will partner closely with executive stakeholders to align AI strategies with business objectives, focusing on delivering impactful solutions that streamline operations, improve decision-making, and foster innovation across the organization.

Qualifications

• Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or a related field from an accredited institution
• Minimum of 3 years of hands-on experience in AI/ML engineering, including building and deploying machine learning models and AI-powered applications
• Proficiency in programming languages such as Python, Java, C#, or TypeScript
• Experience with MLflow, model registries, automated training pipelines, and model monitoring tools
• Strong understanding of prompt engineering, retrieval-augmented generation, and vector databases
• Experience in building REST APIs using frameworks like FastAPI or Flask for model deployment
• Knowledge of AWS infrastructure, Databricks, GitHub, and related development platforms
• Experience with MLOps practices, CI/CD pipelines, automated testing, and model versioning
• Familiarity with responsible AI practices including bias detection, explainability tools (SHAP, LIME), and compliance with enterprise AI governance policies
• Strong communication skills, with the ability to translate complex AI concepts to non-technical stakeholders
• Experience in supply chain, manufacturing, or operations analytics is a plus

Responsibilities

• Design, develop, and maintain AI/ML products such as LLM applications, forecasting models, anomaly detection systems, and intelligent agents
• Own the complete AI/ML lifecycle, including requirements analysis, model design, training, evaluation, API development, deployment, and operational support
• Collaborate with business intelligence and analytics teams to embed AI features into operational tools, enabling natural language queries, predictive insights, and recommendations
• Establish and promote best practices for prompt engineering, model evaluation, and responsible AI development
• Partner with stakeholders to understand operational challenges and translate them into scalable AI solutions aligned with business goals
• Implement and manage MLOps practices, including experiment tracking, model versioning, automated evaluation, and continuous improvement frameworks
• Design data pipelines ensuring data quality, freshness, and proper feature engineering within the Databricks architecture
• Develop monitoring, logging, and alerting systems to ensure AI/ML model performance, detect data drift, and optimize system reliability
• Build vector database architectures and semantic search capabilities to support RAG applications
• Create evaluation frameworks for LLMs, measuring response quality, accuracy, relevance, and hallucination rates, along with automated testing of prompt templates
• Ensure AI solutions adhere to responsible AI standards, including bias mitigation, explainability, and privacy considerations
• Drive the AI/ML roadmap by identifying high-impact use cases, evaluating emerging technologies, and developing proof-of-concept solutions
• Engage with domain experts to incorporate operational knowledge into AI models, ensuring practical and effective deployment
• Communicate complex AI concepts and project results clearly to technical and non-technical stakeholders through documentation and presentations

Benefits

• Competitive base salary within the range of $112,000 - $150,000, commensurate with experience and skills
• Annual discretionary bonus and performance-based incentives
• Comprehensive health benefits including medical, dental, vision, and prescription coverage
• Access to health coaching and Employee Assistance Programs for physical, emotional, financial, and social wellbeing
• Retirement savings plans with company matching contributions and financial planning resources
• Tuition assistance, adoption support, paid parental leave, and disability insurance
• Paid time off for vacation, holidays, and personal or sick leave
• Opportunities for professional development, training, and career growth within a global aerospace leader