Machine Learning Principal Solutions Architect

8+ years of hands-on experience as a Solutions Architect, Data Scientist, or Software Engineer delivering complex AI/ML platforms. 3+ years of consulting leadership experience. Bachelor’s degree in Computer Science, Data Science, or a related field. Experience deploying machine learning models in production environments. Deep expertise in AI/ML technologies and platforms (AWS, GCP, Azure, Databricks, Vertex AI, SageMaker). Proficiency in Python, Scala, Java, or similar programming languages. Strong background in building and operating data pipelines and developing APIs/web applications (Flask, Django, Spring). Complete software development lifecycle experience. Excellent communication and interpersonal skills.

Architect, design, and oversee delivery of end-to-end AI/ML solutions. Lead cross-functional teams to implement ML platforms, pipelines, and applications. Communicate the business value and ROI of AI/ML solutions. Mentor and guide team members on AI/ML best practices. Engage with clients to understand goals, design roadmaps, and identify growth opportunities. Drive pre-sales activities including RFIs/RFPs responses.