About the Role
AI is transforming how enterprises sell, support, and operate — surfacing hidden knowledge, automating workflows, and collapsing weeks of effort into minutes. As a Senior AI Engineer, Enterprise Solutions, you’ll act like a startup CTO, turning this vision into robust, production-ready AI solutions that ship fast and deliver measurable wins for our customers. You will get a front seat to AI applications in the economy along with defining and shaping the future.
Responsibilities
- Build and Ship: Design and develop AI applications primarily in Python. Run evaluations to validate models and package solutions for Kubernetes, AWS, or adapt them to customer on-premises clusters.
- Work with Customers: Lead discovery sessions, guide pilot projects, and ensure successful deployments. Collaborate mostly remotely with occasional on-site workshops.
- Run and Improve: Monitor system performance and reliability. Add to the logging, billing and auth services. Build internal tooling to automate repetitive tasks.
- Share What You Learn: Provide feedback on patterns, pain points, and reusable modules to the core product team to influence the future direction of the AI platform.
Qualifications
Required:
- 5+ years of experience writing solid production-quality software.
- Hands-on experience with LLMs and a solid understanding of machine learning fundamentals.
- Strong customer empathy: ability to listen, ask insightful questions, and translate real-world pain points into intuitive technical designs.
- Product-minded approach: focus on outcomes, comfortable shaping scope with product managers, defining success metrics, and making trade-offs to accelerate learning.
- Excellent communication skills, able to engage effectively with executives and engineers both remotely and on-site.
- Versatile problem-solver who thrives in ambiguous environments and enjoys rapid learning.
Nice to Have:
- Experience in forward-deployed or product-oriented roles.
- Exposure to regulated industries such as healthcare or finance.
- Proficiency with Terraform or Pulumi and experience across multiple cloud platforms.
- Experience integrating with ERP, CRM, or other large enterprise systems.
- Experience mentoring junior engineers or leading small technical teams.
