Job Description
Looking for a Senior Forward Deployed AI Engineer to lead the deployment and customization of AI-powered solutions for real-world customer environments. This role sits at the intersection of engineering, product, and customer success — working directly with users to understand complex workflows and translate them into practical, high-impact AI solutions.
You’ll operate in a fast-paced, high-ownership environment, rapidly prototyping, iterating, and deploying systems that deliver immediate value. This role requires strong technical depth, a problem-solving mindset, and the ability to navigate ambiguity while staying focused on outcomes.
What you’ll do:
- Partner closely with customers to understand workflows and identify opportunities to apply AI/ML solutions
- Design, customize, and deploy AI-driven systems tailored to specific customer needs
- Rapidly prototype and iterate on solutions based on real-time feedback
- Break down complex problems into actionable steps and deliver results in ambiguous environments
- Integrate a wide range of AI/ML technologies to solve diverse, real-world challenges
- Provide hands-on technical support to ensure successful implementation and adoption
- Collaborate with internal engineering teams to inform product development and improvements
- Stay current with advancements in AI/ML and apply them to practical use cases
- Mentor other engineers and contribute to a strong, collaborative engineering culture
- Influence product direction by bringing insights from customer engagements and emerging technologies
What we’re looking for:
- 4+ years of experience in software engineering, data engineering, or machine learning
- Strong coding ability with a focus on building and shipping real-world systems
- Experience with or strong interest in Large Language Models (LLMs) and prompt engineering
- Ability to quickly learn new technologies and adapt in fast-changing environments
- Strong bias toward delivering business value over purely theoretical work
- Comfort operating across a wide range of technical problems rather than specializing narrowly
- Proven ability to break down complex systems and execute effectively
- High resilience, resourcefulness, and ownership mindset
- Strong communication skills and ability to work directly with customers
- Interest in applying technology to real-world domains and making meaningful impact
Nice to have:
- Experience or interest in healthcare or regulated environments
- Proficiency in Python
- Experience with machine learning and neural networks
