Machine Learning Principal Solutions Architect

8+ years as a hands-on Solutions Architect, Data Scientist, or Software Engineer that has designed and implemented complex AI/ML platforms and solutions 3+ years previous Consulting leadership experience leading projects, expanding customer relationships and ensuring delivery lead growth 4-year Bachelor's degree in Computer Science or a related field Experience deploying machine learning models in a production setting Proven track record of account expansion, pre-sales, and proposal development Experience leading cross-functional teams of engineers, data scientists, and architects 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 using a variety of data sources, programming languages, and toolsets 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 and goals 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 both technical and non-technical stakeholders Mentor team members on best practices in AI/ML architecture, modeling, and technology Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps Craft persuasive technical approaches and value propositions to drive client AI/ML initiatives forward Identify and drive account expansion opportunities by uncovering unmet client needs Lead responses to RFIs and RFPs