AI Solutions Engineer

We are looking for a hands-on AI and data leader who can build production systems and also explain them to executives. In this role, you will design and deploy AI solutions on modern data platforms, partner closely with engineering teams, and present to customers and stakeholders. You will also help identify and grow revenue opportunities within our existing business. What You Will Do Design, build, and deploy AI use cases and data platforms that solve real business problems Lead technical discussions with engineering teams, from architecture reviews to implementation details Present solutions, demos, and results to customers and senior stakeholders in clear, business-focused terms Weigh the trade-offs of AI engineering, including cost, reliability, accuracy, and risk, and advise on when AI is and is not the right answer Identify opportunities to expand revenue within existing accounts and lines of business, and execute strategies to capture them Build lasting relationships with customers, partners, and internal teams Manage multiple competing priorities and keep delivery on track What You Bring Required Hands-on experience with at least one AI orchestration framework (for example LangChain, Claude SDK, or CrewAI) Experience building at least two data platforms At least one AI use case deployed in production Experience with Snowflake and at least one major cloud platform (Azure, AWS, or GCP) Strong SQL skills and a solid foundation in data warehousing A practical understanding of the pros and cons of AI engineering Exceptional written and verbal communication skills Exceptional presentation skills, with the ability to adapt your message to technical and non-technical audiences Proven ability to manage multiple priorities in a fast-moving environment Also valued A track record of identifying and executing revenue growth strategies within existing business A personable, approachable style that makes it easy to start conversations and build trust Why This Role You will work at the intersection of engineering, customers, and business strategy, with the chance to see your work move from architecture to production to measurable revenue impact. #J-18808-Ljbffr