[Hiring] AI Builder @OneDigital

Role Description

OneDigital is seeking a highly capable AI Builder (Harness Engineer) to join our embedded product management ecosystem. This role is responsible for transforming AI ideas, prototypes, and early-stage builds—often initiated by Product Managers—into scalable, secure, and production-ready applications.

• Partner with embedded Product Managers to interpret business needs, prototypes, and early-stage AI builds.
• Take Product Manager-created concepts or prototypes and evolve them into production-ready AI applications.
• Design, build, and deploy end-to-end AI solutions, from refinement through launch.
• Develop applications using modern AI tooling, including:
  • Front-end builders (e.g., Replit, cloud-based development environments)
  • Hosting and deployment platforms (e.g., Vercel)
  • Internal AI platforms and services
  • LLM APIs and orchestration frameworks
• Manage code and collaboration workflows using GitHub (version control, branching, pull requests, CI/CD practices).
• Evaluate and implement the most appropriate LLM models and architectures based on use case.
• Enhance and scale AI “co-workers” and workflow automation tools across business functions.
• Collaborate across internal teams (Marketing, Finance, HR) and external business lines (Employee Benefits, Wealth & Retirement, Financial Services).
• Ensure solutions meet enterprise standards for scalability, security, and performance.
• Continuously improve existing AI solutions through iteration, optimization, and feedback.
• Stay current on emerging AI technologies and introduce new tools and capabilities into the ecosystem.
• Work across a wide range of use cases, from internal productivity tools to client-facing AI solutions.
• Help define how AI is built, scaled, and deployed across the organization.

Qualifications

• Experience building and deploying AI-powered applications or prototypes.
• Strong familiarity with modern LLM ecosystems, including:
  • Prompt engineering and model behavior.
  • Model selection and tradeoffs (e.g., GPT, Claude, open-source models).
  • Architectures such as RAG, agents, and workflow orchestration.
• Experience working across a full-stack AI toolchain, including front-end, backend, and deployment.
• Hands-on experience with Vercel (or similar platforms) for hosting and deployment.
• Proficiency with GitHub for version control and collaborative development workflows.
• Ability to take loosely defined or partially built solutions and turn them into scalable applications.
• Strong problem-solving skills and comfort working with ambiguity.
• Proven ability to learn new tools and technologies quickly in a rapidly evolving space.

Requirements

• Preferred Bachelor’s degree - familiarity with software engineering concepts.
• Exposure to or experience with product management concepts, including working with requirements and user needs.
• Experience working with APIs, cloud services, and modern development environments.
• Familiarity with enterprise application development and deployment.
• Understanding of AI governance, data privacy, and security considerations.

Benefits

• The typical base pay range for this role nationwide is $90,000 to $115,000 per year.
• Your base pay is dependent upon your skills, education, qualifications, professional experience, and location.
• In addition to base pay, some roles are eligible for variable compensation, commission, and/or annual bonus based on your individual performance and/or the company’s performance.
• Eligible employees receive health, wellbeing, retirement, and other financial benefits.
• Paid time off, overtime pay for non-exempt employees, and robust learning and development programs.
• Reimbursement of job-related expenses per the company policy and may receive employee perks and discounts.