Advanced AI Engineer
Honeywell
Advanced AI Engineer
Job Description
Advanced AI Engineer
Location: Atlanta, Georgia (Hybrid)
Overview
Join Honeywell, a Fortune 100 leader in aerospace, building technologies, performance materials, and safety solutions, as an Advanced AI Engineer. Reporting directly to our Senior Director of Software Architecture, you will spearhead the design and development of cutting-edge AI algorithms, models, and systems. Based in our state-of-the-art Atlanta facility on a hybrid schedule, you'll serve as the subject matter expert for technical AI projects, driving innovation across Honeywell's diverse portfolio. With access to world-class resources and collaborative teams, this role offers unparalleled opportunities to shape the future of AI in industrial applications.
Key Responsibilities
- Lead the architecture, development, and deployment of advanced AI/ML models, including deep learning, reinforcement learning, and generative AI systems tailored to aerospace and industrial IoT challenges.
- Conduct research and experimentation to prototype novel AI solutions, optimizing for performance, scalability, and real-time inference on edge devices.
- Mentor junior engineers and cross-functional teams on AI best practices, model evaluation metrics, and ethical AI deployment.
- Collaborate with product managers, data scientists, and domain experts to translate business requirements into robust AI pipelines.
- Integrate AI systems with Honeywell's cloud and on-premise infrastructure, ensuring compliance with industry standards like ISO 26262 and NIST AI frameworks.
- Monitor and iterate on deployed models using MLOps practices, driving continuous improvement in accuracy and efficiency.
What Makes This Role Exciting
This position places you at the forefront of Honeywell's AI transformation, tackling high-impact projects in autonomous systems, predictive maintenance, and smart manufacturing. Enjoy hybrid flexibility, direct executive visibility, and the chance to publish research or present at top conferences. With Honeywell's global reach and investment in R&D, you'll innovate alongside elite talent, accelerate your career, and contribute to technologies that enhance safety and sustainability worldwide. If you're passionate about pushing AI boundaries in mission-critical environments, this is your opportunity to excel.
Summary
As an Advanced AI Engineer here at Honeywell, you will lead the design and development of AI algorithms, models, and systems, acting as the subject matter expert for technical AI projects and best practices. You will report directly to our Senior Director SW Architect and you’ll work out of our Atlanta, Georgia location on a Hybrid work schedule.
Locations
- 715 Peachtree Street, N.E., , Atlanta, GA, US 30308
Salary
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)intermediate
- Expertise in deep learning architectures (CNNs, RNNs, Transformers)intermediate
- Experience with big data tools (Spark, Hadoop, Kafka)intermediate
- Knowledge of MLOps, CI/CD for AI, and version control (Git)intermediate
- Strong problem-solving and analytical skillsintermediate
- Excellent communication and collaboration abilitiesintermediate
- Familiarity with ethical AI principles and data privacy regulations (GDPR, CCPA)intermediate
- Experience with cloud AI services and edge deploymentintermediate
- Statistical modeling and experiment designintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (experience)
- 5+ years of professional experience in AI/ML engineering, with proven track record in developing production-grade models (experience)
- Deep expertise in machine learning frameworks such as TensorFlow, PyTorch, or JAX (experience)
- Experience with large-scale data processing and model deployment in cloud environments (AWS, Azure, or GCP) (experience)
- Strong programming proficiency in Python, C++, or Java, including experience with containerization (Docker) and orchestration (Kubernetes) (experience)
- Demonstrated ability to lead technical projects from concept to production (experience)
Preferred Qualifications
- Master's or PhD in AI, Machine Learning, or related field (experience)
- Certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer (experience)
- Experience in aerospace, industrial IoT, or edge AI applications (experience)
Responsibilities
- Design and implement scalable AI algorithms and models for real-world applications in predictive analytics and computer vision
- Lead end-to-end AI project lifecycles, from data ingestion and feature engineering to model training and hyperparameter optimization
- Develop and maintain MLOps pipelines for automated model training, validation, and deployment using tools like MLflow or Kubeflow
- Perform advanced model evaluations, including bias detection, robustness testing, and federated learning implementations
- Collaborate with cross-functional teams to integrate AI solutions into Honeywell's software platforms and hardware ecosystems
- Stay abreast of emerging AI trends and contribute to internal knowledge sharing through workshops and documentation
- Troubleshoot and optimize AI systems for performance in resource-constrained environments like edge computing
Benefits
- general: Competitive base salary and performance-based bonuses
- general: Comprehensive health, dental, and vision insurance with low premiums
- general: 401(k) retirement plan with generous company matching
- general: Professional development programs, including tuition reimbursement and leadership training
- general: Flexible hybrid work arrangements and generous PTO policy
- general: Employee stock purchase plan and wellness incentives
Tags & Categories
Answer 10 quick questions to check your fit for Advanced AI Engineer @ Honeywell.
Related Books and Jobs
Advanced AI Engineer
Honeywell
Advanced AI Engineer
Job Description
Advanced AI Engineer
Location: Atlanta, Georgia (Hybrid)
Overview
Join Honeywell, a Fortune 100 leader in aerospace, building technologies, performance materials, and safety solutions, as an Advanced AI Engineer. Reporting directly to our Senior Director of Software Architecture, you will spearhead the design and development of cutting-edge AI algorithms, models, and systems. Based in our state-of-the-art Atlanta facility on a hybrid schedule, you'll serve as the subject matter expert for technical AI projects, driving innovation across Honeywell's diverse portfolio. With access to world-class resources and collaborative teams, this role offers unparalleled opportunities to shape the future of AI in industrial applications.
Key Responsibilities
- Lead the architecture, development, and deployment of advanced AI/ML models, including deep learning, reinforcement learning, and generative AI systems tailored to aerospace and industrial IoT challenges.
- Conduct research and experimentation to prototype novel AI solutions, optimizing for performance, scalability, and real-time inference on edge devices.
- Mentor junior engineers and cross-functional teams on AI best practices, model evaluation metrics, and ethical AI deployment.
- Collaborate with product managers, data scientists, and domain experts to translate business requirements into robust AI pipelines.
- Integrate AI systems with Honeywell's cloud and on-premise infrastructure, ensuring compliance with industry standards like ISO 26262 and NIST AI frameworks.
- Monitor and iterate on deployed models using MLOps practices, driving continuous improvement in accuracy and efficiency.
What Makes This Role Exciting
This position places you at the forefront of Honeywell's AI transformation, tackling high-impact projects in autonomous systems, predictive maintenance, and smart manufacturing. Enjoy hybrid flexibility, direct executive visibility, and the chance to publish research or present at top conferences. With Honeywell's global reach and investment in R&D, you'll innovate alongside elite talent, accelerate your career, and contribute to technologies that enhance safety and sustainability worldwide. If you're passionate about pushing AI boundaries in mission-critical environments, this is your opportunity to excel.
Summary
As an Advanced AI Engineer here at Honeywell, you will lead the design and development of AI algorithms, models, and systems, acting as the subject matter expert for technical AI projects and best practices. You will report directly to our Senior Director SW Architect and you’ll work out of our Atlanta, Georgia location on a Hybrid work schedule.
Locations
- 715 Peachtree Street, N.E., , Atlanta, GA, US 30308
Salary
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)intermediate
- Expertise in deep learning architectures (CNNs, RNNs, Transformers)intermediate
- Experience with big data tools (Spark, Hadoop, Kafka)intermediate
- Knowledge of MLOps, CI/CD for AI, and version control (Git)intermediate
- Strong problem-solving and analytical skillsintermediate
- Excellent communication and collaboration abilitiesintermediate
- Familiarity with ethical AI principles and data privacy regulations (GDPR, CCPA)intermediate
- Experience with cloud AI services and edge deploymentintermediate
- Statistical modeling and experiment designintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (experience)
- 5+ years of professional experience in AI/ML engineering, with proven track record in developing production-grade models (experience)
- Deep expertise in machine learning frameworks such as TensorFlow, PyTorch, or JAX (experience)
- Experience with large-scale data processing and model deployment in cloud environments (AWS, Azure, or GCP) (experience)
- Strong programming proficiency in Python, C++, or Java, including experience with containerization (Docker) and orchestration (Kubernetes) (experience)
- Demonstrated ability to lead technical projects from concept to production (experience)
Preferred Qualifications
- Master's or PhD in AI, Machine Learning, or related field (experience)
- Certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer (experience)
- Experience in aerospace, industrial IoT, or edge AI applications (experience)
Responsibilities
- Design and implement scalable AI algorithms and models for real-world applications in predictive analytics and computer vision
- Lead end-to-end AI project lifecycles, from data ingestion and feature engineering to model training and hyperparameter optimization
- Develop and maintain MLOps pipelines for automated model training, validation, and deployment using tools like MLflow or Kubeflow
- Perform advanced model evaluations, including bias detection, robustness testing, and federated learning implementations
- Collaborate with cross-functional teams to integrate AI solutions into Honeywell's software platforms and hardware ecosystems
- Stay abreast of emerging AI trends and contribute to internal knowledge sharing through workshops and documentation
- Troubleshoot and optimize AI systems for performance in resource-constrained environments like edge computing
Benefits
- general: Competitive base salary and performance-based bonuses
- general: Comprehensive health, dental, and vision insurance with low premiums
- general: 401(k) retirement plan with generous company matching
- general: Professional development programs, including tuition reimbursement and leadership training
- general: Flexible hybrid work arrangements and generous PTO policy
- general: Employee stock purchase plan and wellness incentives
Tags & Categories
Answer 10 quick questions to check your fit for Advanced AI Engineer @ Honeywell.
Related Books and Jobs