AI Builder - Remote

No other company in our industry is supercharging the way they work and serve their clients like Aperture Cloud . Fresh thinking has always been the core of Aperture Cloud ’s vision and growth strategy. It’s how we stand out in our industry, it’s how we stay competitive and resilient in a changing world. Most importantly, our innovative approach is helping more people do their best work and live their best lives. Innovation fuels our employee experience by making it easier to do your best work anytime, anywhere and from any device. And our tech-based products for clients are a game changer in our industry. If you thrive on change and innovation, Aperture Cloud is the career choice for you. Our Newest Opportunity: Aperture Cloud isseekinga highly capable AI Builder (Harness Engineer) to join our embedded product management ecosystem. This roleis responsible fortransforming AI ideas, prototypes, and early-stage builds—ofteninitiatedby Product Managers—into scalable, secure, and production-ready applications. You will partner closely with Product Managers across the organization who are increasingly hands-on in building AI-driven prototypes. Your role is to take these concepts to the next level , refining, scaling, and operationalizing them into high-quality solutions that can be deployed across Aperture Cloud ’s internal and external business lines. This is a hands-on role for someone who thrives at the intersection of AI engineering, product thinking, and rapid experimentation . Essential Duties and Responsibilities: 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 mostappropriate LLMmodels andarchitectures 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 Continuouslyimproveexisting AI solutions through iteration, optimization, and feedback Stay current on emerging AI technologies and introduce new tools and capabilities into the ecosystem Product Managers at Aperture Cloud are actively building and prototyping AI solutions —you will partner with them to elevate these into enterprise-grade applications You will work across a wide range of use cases, from internal productivity tools to client-facing AI solutions You will help define how AI is built, scaled, and deployed across the organization This is not just an architect role—it is a builder role with real impact across the business Qualifications,Skillsand Requirements: Whatyou’llbring 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 Proficiencywith 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 Education, Training and Experience: 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 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. We also offer eligible employees health, wellbeing, retirement, and other