Sr. AI Architect - Future Opportunity
The Senior AI Architect will lead the design of secure AI solutions, guide AI Engineers, and translate business needs into practical AI architectures for financial services clients.
Are you an accomplished Solution Architect who wants to grow their Databricks expertise, develop technical content and presentations, and help build the future of AI on Databricks?
Aimpoint Digital is a fully remote, rapidly growing AI and Data Engineering consultancy; specializing in enabling tangible business outcomes and ROI for organizations around the globe. AI is fundamentally changes how the world works, and we’re looking for an experienced Databricks Solution Architect to join our team and define what the future of AI looks like on Databricks
You will:
Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who is passionate about responsibly deploying AI solutions; specifically, within Databricks. You understand that AI systems aren’t a nice to have, but critical the growth of the organizations of the future.
As a Databricks Solution Architect, you will also be expected to be able to be contribute as a member of a client engagement delivery team, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
Requirements:
The Senior AI Architect will lead the design of secure AI solutions, guide AI Engineers, and translate business needs into practical AI architectures for financial services clients.
Develop AI agents, orchestration, and guided workflows for an enterprise AI platform, building conversational experiences and integrating agent capabilities with backend systems and observability tools.
Develop AI agents, orchestration, and conversational workflows for an enterprise AI platform, integrating Python, LangGraph, and LangChain with backend systems and observability tools.
Build and operate production AI agent capabilities for productivity workflows, from Python orchestration and business-software integrations to full-stack features, reliability improvements, and production quality.
The AI Engineer will focus on building, integrating, testing, and deploying AI-enabled applications and enterprise solutions for sophisticated client environments.