We are seeking a Physics-AI Application Engineer to support transforming the companies' clients industrial operations, particularly in the oil and gas industry, and across other industrial sectors. The company fosters a collaborative and innovative environment that values technical expertise and a passion for solving complex problems, driving continuous learning and improvement
Primary Responsibilities:
Lead Customer Engagements
- Conduct technical discovery sessions with clients’ engineering and operations teams
- Identify high impact use cases aligned to business and operational goals
- Design and implement AI modeling and optimization workflows using company software platform and arsenal of Physics-AI capabilities
- Rapidly iterate and validate solutions using real customer data and workflows
- Quantify and communicate business value through measurable KPIs
- Collaborate with software engineering to integrate models into production environments
- Develop and deliver technical documentation, training, and customer onboarding materials
- Support transition from PoV to full deployment and long-term adoption
- Act as a trusted advisor to technical stakeholders and decision-makers
- Build consultative relationships that open doors to follow-on projects and expansion
- Represent company at conferences & events, deliver product demos, and contribute to technical publications
Essential Skills & Experience Required:
- Minimum Bachelors of Engineering, Applied Physics, or a related field
- At least 3 years of prior industry work experience applying modelling and simulation
- Proficiency in Python, with experience building and training ML models using common learning frameworks
- Strong communication and collaboration skills with the ability to lead client conversations and influence outcomes
- Self-starter who thrives in fast-paced, dynamic, and evolving environments
- Excited to build, learn, and adapt as part of a mission-driven team
Desirable Skills and Experience:
- Energy industry experience, specifically within conventional oil and gas industry
- Experience with startups or early-stage development projects
- Familiarity with modeling & simulation platforms like AspenTech, Siemens, or Ansys
- Understanding of the Machine Learning model lifecycle from development to deployment
- Prior experience in technical consulting, solution delivery, or pre-sales engineering
- Company are pioneers and recognized global leaders in AI Adoption with world-class expert team
- The platform is commercial, scalable, and unique with an innovative modelling approach
- Opportunity to have real collaborative impact, with proven career growth and equity in the business