Principal AI Solutions Engineer

$132,000 - $220,000 Base + 10% Bonus + LTI

We're partnering with an industry-leading organization at the intersection of advanced science, engineering, and AI to hire a Principal AI Solutions Engineer
. This is a rare opportunity to help shape the future of AI adoption within a global research environment while remaining deeply hands-on with cutting-edge technologies.

This role is ideal for someone who enjoys wearing multiple hats: AI builder, technical advisor, researcher, and transformation leader.

• Drive AI adoption across a global research organization of scientists, physicists, engineers, and researchers
• Identify high-value opportunities where AI can accelerate innovation, improve decision-making, and unlock productivity
• Design, build, and deploy AI solutions including:
  • Agentic AI systems
  • LLM-powered applications
  • Workflow automation tools
  • AI-driven knowledge management solutions
• Partner directly with technical and non-technical stakeholders to translate real-world challenges into scalable AI solutions
• Lead AI initiatives from concept through implementation, influencing teams and mentoring others along the way
• Explore and prototype new AI capabilities that could shape future products, services, and research methodologies

• Hands-on experience building and deploying AI/ML solutions in production
• Strong development skills in Python and modern ML frameworks
• Experience with LLMs, Agents, RAG, and applied AI solutions
• Expertise across machine learning, data science, or applied AI engineering
• Ability to communicate complex AI concepts to non-technical audiences
• Experience leading technical projects and influencing cross-functional teams
• Curious, innovative mindset with a passion for solving ambiguous problems

We're open to talent coming from a variety of industries, including:

• Scientific Computing
• Manufacturing & Industrial Technology

Scientific or research-oriented environments are a plus, but not required.

• Highly visible role with exposure to executive leadership
• Opportunity to influence enterprise AI strategy and adoption
• Blend of hands-on development, innovation, and technical leadership
• Ability to create and own your own AI initiatives
• Work alongside researchers, scientists, and engineers solving complex real-world problems
• Significant growth potential within a globally recognized organization

Hybrid role based in:

Candidates should be comfortable being onsite several days per week and engaging directly with researchers and stakeholders.