Ai Engineer
Job
Actalent
Remote
$150,800 Salary, Full-Time
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Job Description
Description Actalent is hiring an AI/ML Automation Engineer to support advanced automotive CAE (Computer Aided Engineering) initiatives for a major OEM client. This role focuses on building AI enabled automation, scripting, and predictive modeling solutions that integrate with existing CAE simulation workflows. The ideal candidate is not required to be a CAE subject matter expert, but must be comfortable working alongside CAE engineers, understanding their terminology, and translating engineering problems into AI driven technical solutions. AI/ML & Agentic Automation Development
- Design and implement AI/ML workflows to accelerate engineering analysis and simulation tasks.
- Develop agentic AI solutions (LLM driven assistants, prompt based automation) to support engineering workflows.
- Apply modern GenAI tools (e.g., LLMs, prompt engineering frameworks) to automate repetitive or complex engineering tasks. [Actalent...Transcript | Video] Engineering Workflow Scripting & Integration
- Build Python based scripts and automation to integrate AI models into CAE toolchains.
- Support automation inside or alongside CAE platforms (e.g., ANSYS, HyperWorks, CATIA, or similar).
- Translate CAE requirements into executable automation, scripts, or AI workflows. Predictive Modeling & Data Preparation
- Assist with preparing, organizing, and validating engineering datasets for ML training.
- Support development of predictive models (e.g., neural networks) for simulation acceleration or outcome prediction.
- Work with structured and semi structured engineering data to support AI training pipelines. Collaboration & Technical Translation
- Collaborate closely with CAE engineers and internal Actalent technical leads.
- Understand engineering problem statements and propose AI based solutions.
- Communicate technical approaches clearly across AI and engineering stakeholders. Additional Skills & Qualifications Required Qualifications
- Strong Python development experience.
- Hands on experience with AI/ML concepts (traditional ML and/or modern GenAI approaches).
- Experience building automation pipelines, scripts, or tooling for technical workflows.
- Ability to understand engineering terminology and workflows (CAE exposure is a strong plus, not a requirement). [Actalent...Transcript | Video]
- Experience working in collaborative, R D oriented environments. ________________________________________ Preferred / Nice to Have Skills
- Exposure to CAE tools such as ANSYS, HyperWorks, CATIA, LS DYNA, or similar.
- Experience with agentic AI frameworks or LLM orchestration tools.
- Familiarity with Physics informed ML, simulation data, or predictive modeling.
- Experience supporting automotive, aerospace, or mechanical engineering teams.
- Cloud experience (AWS, Azure, or GCP) for ML workflows.
- Medical, dental & vision
- Critical Illness, Accident, and Hospital
- 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
- Life Insurance (Voluntary Life & AD&D for the employee and dependents)
- Short and long-term disability
- Health Spending Account (HSA)
- Transportation benefits
- Employee Assistance Program
- Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position.
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