Forward Deployed AI Architect (GenAI, AWS)
Embed with enterprise customers to understand their operations, then design and ship production GenAI systems on AWS, owning delivery from problem framing through evaluation and deployment.
Farther is a rapidly growing RIA that combines expert advisors with cutting-edge technology - delivering a comprehensive, tailored wealth management experience.
Fartherโs founders are leaders and innovators from the private wealth industry who possess a unique blend of traditional wealth management, fintech, and technology production expertise. Weโre backed by top-tier venture capital firms, fintech investors, and industry leaders.
Joining Farther means joining a collaborative team of entrepreneurs who are passionate about helping their clients and our teammates achieve more. If youโre the type who breaks through walls to get things done the right way, we want to build the future of wealth management with you.
As an Agentic Engineer at Farther, you will build agentic solutions that change how our business runs. You will work with Farther's proprietary data model and our many vendor integrations to design, ship and run AI agents that take on real operational work in a regulated wealth management environment.
This is not a build-it-and-hand-it-off role. You will sit with operations teams, advisors and other business partners to understand how they actually work. You will find the few features that decide whether a tool gets adopted, and you will turn them into scalable, well-built systems. Then you will own the rollout: monitoring, integrations, user training and ongoing iteration until the solution is a trusted part of how Farther works.
You need both sound engineering and architectural judgment and real business judgment: knowing what to build, what to leave out, and what "done" means to the people using it.
Ready to disrupt wealth management? Let's talk!
Embed with enterprise customers to understand their operations, then design and ship production GenAI systems on AWS, owning delivery from problem framing through evaluation and deployment.
Leads the design and delivery of secure, production-ready AI/ML systems, including agentic workflows and RAG capabilities, while guiding architecture and communicating technical recommendations to stakeholders.
As a Senior Machine Learning Engineer, you will lead the development and deployment of advanced AI systems, ensuring they meet high operational and ethical standards.
Build and own production-grade agentic AI systems end to end, from multi-agent orchestration and retrieval to evaluation and deployment in demanding cloud, on-premises, and offline environments.
Desenvolve e evolui soluรงรตes de IA integradas ao OMS, usando LLMs, prompts e pipelines RAG para automatizar fluxos, otimizar o processamento de pedidos e reduzir trabalho manual operacional.