Machine Learning Principal Solutions Architect

8+ years as a hands-on Solutions Architect, Data Scientist, or Software Engineer with complex AI/ML platforms. 3+ years consulting leadership experience leading projects and expanding customer relationships. 4-year Bachelor's degree in Computer Science or related field. Experience deploying machine learning models in production. Proven track record of account expansion, pre-sales, and proposal development. Experience leading cross-functional teams. Deep expertise in AI/ML technologies and platforms (e.g., AWS, GCP, Azure, Databricks, Vertex AI, SageMaker). Expertise in Python, Scala, Java, or another modern programming language. Ability to build and operate robust data pipelines. Development of APIs and web server applications (e.g. Flask, Django, Spring). Complete software development lifecycle experience. Excellent communication and interpersonal skills.

Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer requirements. Lead a team of machine learning engineers and data scientists to build AI/ML platforms, pipelines, and products. Communicate business value and ROI of AI/ML solutions to stakeholders. Mentor team members on best practices in AI/ML architecture, modeling, and technology. Build relationships with client stakeholders to understand long-term AI/ML goals. Craft persuasive technical approaches and value propositions to drive client AI/ML initiatives. Identify and drive account expansion opportunities. Lead responses to RFIs and RFPs.