Sr AI Engineer- Physical AI

Description:
Hybrid 3/2 in either Charlotte, NC or Seattle, WA

Our client is seeking a Senior AI Engineer to lead the development and operationalization of Physical AI systems across stores and supply chain. The role spans robotics, computer vision, machine learning, and data platforms, translating signals from vision, sensors, IoT, and robotics into scalable, production-grade AI systems. The work includes digital twins, agentic AI, and edge deployments to improve operational efficiency, inventory movement, routing, and decision-making.

This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.

Salary: $160,000 - $180,000/ yr. w2

Responsibilities:

• Design and deploy ML and deep learning models for robotics, computer vision, and Physical AI applications.
• Optimize models for real-time, edge, and scalable AI environments with GPU and CPU efficiency.
• Integrate perception, planning, and decision-making systems across AI platforms.
• Build scalable data pipelines and streaming architectures for computer vision, IoT, robotics, and multimodal data.
• Develop reusable datasets, feature engineering pipelines, and ensure data quality and observability.
• Design and maintain AI platform tools, frameworks, and infrastructure for the ML lifecycle.
• Implement CI/CD, deployment, monitoring, automation, and MLOps practices.
• Define KPIs, evaluation frameworks, and model performance metrics with experimentation and A/B testing.
• Partner with data science, robotics, CV, platform, and business teams to deliver scalable solutions.
• Translate business requirements into technical AI capabilities and align platform innovation with goals.
• Mentor engineers and promote engineering and MLOps best practices.

Experience Requirements:

• Data engineering and ETL with experience building production data pipelines and streaming architectures.
• AI/ML model development and production deployment with MLOps understanding.
• Generative AI and agentic AI exposure with system and solution architecture skills.
• Dashboarding and visualization with strong communication to executive stakeholders.
• Experience with GPU and CPU infrastructure and performance optimization.
• Cloud experience with Google Cloud Platform preferred, AWS or Azure acceptable, and hybrid on-prem environments.
• Edge computing and IoT concepts for real-time or near real-time inference.
• Preferred experience in digital twins, robotics, Physical AI, supply chain, or warehouse operations.
• Familiarity with CI/CD, SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, BigQuery, and Vertex AI.
• Knowledge of Kafka, cloud AI platforms, and robotics or computer vision.

Education Requirements:

• Bachelor's degree in science, technology, engineering, math, or related field, or equivalent experience.
• Master's degree in a quantitative or engineering field preferred.

Recruitment Transparency Notice



Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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