Artificial Intelligence Engineer

Posted 6 Days Ago
Pittsburgh, PA, USA
Hybrid
90K-115K Annually
Senior level
Aerospace • Hardware • Other • Transportation
The Role
Develop and deploy AI and machine learning models, applications, and data pipelines. Responsibilities include model training and optimization, production integration, API development, data preprocessing, performance monitoring, research, and collaboration with technical and business stakeholders. The role requires Python and SQL, data science experience, knowledge of mathematical modeling, and familiarity with cloud, containerization, data engineering, and AI frameworks.
Summary Generated by Built In
Responsibilities

Howmet Aerospace Inc. (“Howmet”) is currently in search of an Artificial Intelligence Engineer to join the Global Information Systems (GIS) organization at the Howmet Corporate Center in Pittsburgh, PA.  

In this role you will be responsible for developing and deploying artificial intelligence models and surrounding applications and data pipelines. -

Major activities/Key challenges:

  • Model Development and Training

    • Design and build machine learning and deep learning models tailored to solve specific business problems.

    • Train, evaluate, and fine-tune models using appropriate datasets and techniques.

  • Application Integration

    • Deploy AI models into production and integrate them with existing systems or applications.

    • Design APIs or interfaces for models to interact with external applications.

  • Data Management and pipeline development

    • Collect, preprocess, and clean datasets to ensure data quality and relevance.

    • Create and optimize pipelines for efficient data handling.

  • Performance Optimization

    • Monitor the performance of deployed models and update them as needed.

    • Optimize model performance for speed, accuracy, and scalability.

  • Research and Innovation

    • Stay updated with the latest AI and machine learning research and integrate new methodologies where applicable.

    • Experiment with state-of-the-art tools and technologies to improve current solutions.

  • Collaboration and Communication

    • Work closely with cross-functional teams, including data engineers, application developers and analysts, and business stakeholders.

    • Translate complex AI concepts into actionable business insights.

Essential knowledge, skills and abilities:

  • Strong verbal and written communications skills and ability to interact with customers, vendors, other IT professionals, and management; can communicate technical information effectively across all levels of the organization
  • Practices continuous learning, interested in learning and mastering new technologies and techniques to improve processes and systems
  • Sound decision making, capable of resolving open items swiftly and efficiently
  • Strong aptitude to plan and prioritize own work to manage multiple priorities and meet deadlines
  • Solid project management and organizational skills including documenting and optimizing processes
Qualifications

Basic Qualifications:

  • Technical bachelor's degree from an accredited institution
  • Minimum of 5 years of experience in Information Technology
  • 2+ years prior experience in analytics and/or data science 
  • Working knowledge of SQL and Python
  • Strong grasp of linear algebra, statistics, optimization techniques, and algorithm design.
  • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.  Visa sponsorship is not available for this position
  • Exposure to data engineering/data pipeline development

Preferred Qualifications:

  • Bachelor’s degree in data science or artificial intelligence
  • Experience using the following python packages
    • Machine Learning - TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
    • Data Manipulation and visualization - Pandas, NumPy, and data visualization libraries such as Matplotlib or Seaborn.
  • Familiarity with cloud platforms (Oracle, AWS, Google Cloud, Azure) and deployment tools like Docker and Kubernetes. Specifically, Oracle Cloud Infrastructure a plus.
  • Familiarity with integrating cloud technologies with legacy applications
  • Creating architecture with network segmentation in mind.
  • Experience with NLP libraries such as SpaCy, NLTK, or Hugging Face Transformers is advantageous.
  • Exposure to Python data packages and streaming technology, such as PySpark, Kafka, Apache Airflow and delta loading.

Salary Range: $90k - $115k/year approximation (actual compensation is subject to variation due to factors such as education, experience, skillset, and/org location).

About Us

Compensation and Benefits:

If a pay range is identified for this job, it is based on a good faith estimate at the time of this posting. Actual compensation is subject to variation due to factors such as education, experience, skillset, market/business considerations, and/or location. 

Howmet Aerospace offers a competitive benefits package to support the health, financial well-being, and professional growth of our employees. Benefits include: 

  • Comprehensive medical, prescription, dental, and vision benefits coverage, including FSA and HSA account options 
  • Pre-tax and Roth 401(k) retirement savings plans offering employer matching funds and a separate employer retirement contribution 
  • Paid holidays and vacation time (eligibility, accrual, and usage are discretionary and governed by applicable policies)
  • Paid parental leave and adoption assistance programs 
  • Life insurance and disability coverage plans 
  • Optional coverage plans for auto, home, legal, identity theft, and pet insurance 
  • Tuition Assistance Program and ongoing professional development opportunities 
  • Employee Assistance Program (EAP) 

Our Story:

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $8.3 Billion in revenue in 2025, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers’ success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2025 Environmental Social and Governance report at www.howmet.com/esg-report. Follow: LinkedIn, Twitter, Instagram, Facebook, and YouTube.

Equal Opportunity Employer:

Howmet is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.

If you need assistance to complete your application due to a disability, please email:  [email protected]

Skills Required

  • Technical bachelor's degree from an accredited institution
  • Minimum of 5 years of experience in Information Technology
  • At least 2 years of experience in analytics and/or data science
  • Working knowledge of SQL and Python
  • Strong grasp of linear algebra, statistics, optimization techniques, and algorithm design
  • Legally authorized to work in the United States
  • Experience or exposure to data engineering and data pipeline development
  • Bachelor's degree in data science or artificial intelligence
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Experience with Pandas, NumPy, and data visualization libraries such as Matplotlib or Seaborn
  • Familiarity with cloud platforms and deployment tools such as Docker and Kubernetes
  • Familiarity with integrating cloud technologies with legacy applications
  • Experience creating architecture with network segmentation in mind
  • Experience with NLP libraries such as SpaCy, NLTK, or Hugging Face Transformers
  • Exposure to PySpark, Kafka, Apache Airflow, and delta loading

Howmet Aerospace Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Howmet Aerospace and has not been reviewed or approved by Howmet Aerospace.

  • Retirement Support — Retirement contributions include an automatic employer contribution plus a strong dollar‑for‑dollar 401(k) match for eligible U.S. salaried employees, enhancing total compensation. Feedback highlights retirement benefits as a relative strength compared with many large manufacturers.
  • Healthcare Strength — Core health coverage includes medical, dental, and vision insurance with HSA/FSA options, and feedback suggests the health plans are viewed positively. Health coverage is frequently characterized as solid and reliable.
  • Fair & Transparent Compensation — Pay is considered decent or competitive in many roles and locations, with hourly positions often able to lift earnings through overtime. Feedback indicates salary ranges for common technical roles align with broader aerospace manufacturing markets.

Howmet Aerospace Insights

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The Company
HQ: Pittsburgh, PA
10,001 Employees
Year Founded: 2020

What We Do

Howmet Aerospace Inc., headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company’s primary businesses focus on jet engine components, aerospace fastening systems, and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. With nearly 1,150 granted and pending patents, the Company’s differentiated technologies enable lighter, more fuel-efficient aircraft to operate with a lower carbon footprint.

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