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 The 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, including design, documentation, implementation, testing, and deployment Excellent communication and interpersonal skills, with the ability to navigate complex client relationships

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 that meet customer requirements and expectations 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 Stay abreast of emerging technologies and methodologies in AI/ML to inform solution design and delivery Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps that align with business objectives 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 and where AI/ML can add value Lead responses to RFIs and RFPs, crafting persuasive technical approaches and value propositions