What is the salary for this Machine Learning Principal Solutions Architect role?

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Machine Learning Principal Solutions Architect

Jobgether US Today

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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Principal Solutions Architect in the United States.

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.

Accountabilities:

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.

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.

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.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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