Senior Forward Deployed AI Engineer

Job Description

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