Technical AI Consultant

We are seeking a Technical AI Consultant who excels at combining hands-on engineering, customer engagement, and rapid AI solution delivery. Join our team to assist clients in integrating AI into their operations, achieve measurable business outcomes, and contribute to the advancement of AI-powered solutions. This position suits individuals who value variety in daily tasks, real-world impact, insight into customer challenges and product development, and the chance to influence both individual customer success and the future of the AI platform. Success Criteria Success is determined by outcomes achieved during engagements, not solely by completed deliverables Customer Value Realization: Clients obtain measurable benefits from using the AI/Run platform and framework Platform Adoption Growth: Customers continue using the platform and request additional AI integration opportunities Proactive Issue Resolution: Problems are identified and addressed before they affect customer success or platform adoption Engagement Goals Achievement: Objectives for AI-enabled SDLC integration and business operations are met or surpassed Long-term Partnership: Customers consider AI/Run essential to their operations and seek to expand usage across their organization Responsibilities Build, deploy, maintain AI solutions on the AI/Run CodeMie platform using Python, React, Langchain/Langgraph, MCP Focus on achieving measurable business outcomes and customer success goals, not just delivering outputs; identify and resolve issues before they escalate, ensuring clients derive value from the AI/Run platform and expand AI adoption in their SDLC and operations Embed with customer teams (onsite or remote), understand their domain processes, and iterate on solutions that deliver measurable business value Drive AI engagement with the AI/Run Platform for clients by solving platform issues and shipping necessary functionality through personal effort or collaboration with the platform core team; take ownership and deliver results Contribute code and feedback directly to core product teams; identify gaps, propose and ship features and improvements used across the platform Own and execute end-to-end technical projects - from discovery and prototyping to validation, deployment, and ongoing support Ensure engagement and success of opportunities by addressing issues from teams or clients, focusing on defined goals in AI-enabled SDLC; measure success by achieving these goals, clients realizing value from the platform, continued adoption, and requests for further AI integration opportunities Act as trusted technical advisors for customers, remove blockers, and guide best practices around integration and AI adoption Collaborate with sales and go-to-market teams to scope, close, and ramp new customer deals by leveraging technical expertise and driving actionable results Requirements Proven experience with Python and modern React, with the ability to identify and resolve platform issues independently Strong engineering skills with an AI-first approach to problem-solving and solution design Comfortable with LLM-based solutions, prompt engineering, and frameworks such as Langchain/Langgraph Demonstrated ability to map customer needs, define and validate solutions with real user feedback, and iterate quickly in ambiguous environments Track record of focusing on business outcomes rather than just technical outputs; ability to measure success by customer value delivered and platform adoption growth Self-starter who identifies and resolves issues before being asked; actively seeks opportunities to improve customer experience and platform value Able to clearly distill technical solutions for diverse audiences; comfortable facilitating workshops and demos, both remotely and in-person Proactive self-starter who can independently manage delivery cycles, prioritize the highest-impact work, and drive value to closure Strong teamwork; able to embed with both customer and internal product teams, contributing code, product ideas, and field insights Experience with MCP development, integration, and security best practices highly recommended