Machine Learning Principal Solutions Architect

Jobgether

1d • Remote

About The Position

We are seeking a highly skilled Principal Solutions Architect to lead the design and delivery of advanced AI/ML solutions while driving strategic client engagement and account growth. In this role, you will architect end-to-end machine learning platforms, mentor teams of engineers and data scientists, and collaborate with clients to translate business objectives into scalable AI/ML solutions. You will act as a trusted technical advisor, helping clients leverage machine learning to achieve measurable business impact. This position is ideal for a technically brilliant and strategically minded professional who thrives in a collaborative, fast-paced consulting environment, balancing innovation, delivery excellence, and customer success.

Requirements

• 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, including client engagement, project leadership, and account expansion.
• Bachelor’s degree in Computer Science, Data Science, or a related field; advanced degrees preferred.
• 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 including design, implementation, testing, and deployment.
• Excellent communication and interpersonal skills, with the ability to navigate complex client relationships.

Responsibilities

• Architect, design, and oversee delivery of end-to-end AI/ML solutions that meet performance, scalability, and customer requirements.
• Lead cross-functional teams of machine learning engineers, data scientists, and architects to implement robust ML platforms, pipelines, and applications.
• Communicate the business value and ROI of AI/ML solutions to both technical and non-technical stakeholders.
• Mentor and guide team members on AI/ML best practices, architecture, modeling, and emerging technologies.
• Engage with clients to understand long-term AI/ML goals, design roadmaps, and identify opportunities for account growth.
• Drive pre-sales activities including responses to RFIs/RFPs and crafting persuasive technical approaches.

Benefits

• Remote-first work environment with flexible scheduling.
• Collaborative and award-winning culture promoting autonomy, creativity, and transparency.
• Competitive compensation and excellent benefits package.
• Four weeks of paid time off plus 10 company holidays.
• Accelerated learning and professional development through training and certifications.
• Inclusive and diverse workplace with a strong focus on equity and belonging.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees