Solutions Engineer

Investigo; Milford (MA); Hybrid; USD 132,000 - 220,000; Full time

Job summary

Investigo is partnering with a global research organization to hire a Principal AI Solutions Engineer. This role blends hands-on AI development with technical leadership, shaping how AI is adopted across scientists, engineers, and researchers.

You will build agentic AI systems, LLM-powered applications, and workflow automation while mentoring teams and translating complex challenges into scalable solutions.

Qualifications

• Hands-on experience building and deploying AI/ML solutions in production.
• Strong Python development skills and modern ML frameworks.
• Experience with LLMs, Agents, and RAG in real applications.
• Ability to communicate complex AI concepts to non-technical audiences.
• Experience leading technical projects and cross-functional teams.
• Curious, innovative mindset with problem-solving in ambiguous contexts.

Responsibilities

• Drive AI adoption across a global research organization.
• Identify high-value AI opportunities to accelerate innovation.
• Design, build, and deploy AI solutions including: agentic AI systems, LLM-powered apps, workflow automation tools, AI-driven knowledge management solutions.
• Partner with stakeholders to translate challenges into scalable AI solutions.
• Lead AI initiatives from concept through implementation and mentor others.
• Prototype new AI capabilities shaping future products and research methodologies.

Skills

AI/ML development

Python

LLMs/Agents/RAG

Data science

Cross-functional leadership

Communication to non-technical

Tools

ML frameworks

Job description

$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.

What You'll Be Doing

• 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

What We're Looking For

• 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

Ideal Backgrounds

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.

Why This Opportunity?

• 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

Location

Hybrid role based in:

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