This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Machine Learning Solutions Architect in United States.
In this role, you will act as a senior technical leader responsible for designing and delivering production-grade machine learning and data solutions for enterprise clients across diverse industries. You will translate complex business and data science requirements into scalable, cloud-native architectures that enable reliable model deployment, monitoring, and lifecycle management. Working in a highly collaborative consulting environment, you will partner with data scientists, engineers, DevOps teams, and business stakeholders to turn data into actionable, production-ready AI systems. This position blends deep technical expertise with client-facing leadership, requiring both architectural vision and hands-on execution. You will play a key role in shaping MLOps standards, improving delivery frameworks, and advancing best practices across modern data platforms. The environment is fast-paced, remote-first, and centered on ownership, autonomy, and measurable business impact.
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Accountabilities
- Lead end-to-end architecture, design, and delivery of machine learning and data platform solutions for enterprise clients, ensuring scalability, security, and measurable business value.
- Translate business requirements and data science needs into production-ready MLOps architectures, including model training, deployment, monitoring, and retraining pipelines.
- Design and implement secure, scalable environments for data ingestion, transformation, and model development across cloud and hybrid ecosystems.
- Build and optimize data pipelines and distributed processing systems using modern big data technologies such as Spark, Snowflake, and Databricks.
- Define and enforce best practices for model lifecycle management, including CI/CD for ML, observability, testing strategies, and operational reliability.
- Collaborate closely with cross-functional teams and client stakeholders to guide technical strategy, architecture decisions, and solution roadmaps.
- Contribute to internal accelerators, reference architectures, and reusable frameworks that improve delivery efficiency and standardization across engagements.
Requirements
- 8+ years of experience in machine learning engineering, data engineering, or software engineering with production-grade ML system delivery.
- Strong expertise in Python (or similar languages such as Scala or Java), including experience building APIs and backend services using frameworks like Flask or Django.
- Hands-on experience with distributed data processing and big data platforms such as Spark, Snowflake, Databricks, Redshift, or EMR.
- Strong knowledge of cloud and systems architecture across AWS, Azure, or GCP, including storage, networking, and data infrastructure design.
- Proven experience deploying machine learning models into production environments with robust monitoring, testing, and operational support.
- Advanced SQL skills, including query optimization and working with large-scale distributed datasets.
- Experience in consulting or client-facing delivery environments, with the ability to translate technical concepts into business value.
- Strong communication and leadership skills with the ability to guide cross-functional teams and influence technical direction.
Benefits
- Remote-first work environment across the United States
- Competitive compensation package with performance-based opportunities
- 401(k) plan with company match
- Comprehensive medical, dental, and vision insurance
- Paid time off including approximately 4 weeks PTO and 10 holidays
- Annual learning and development stipend
- Home office equipment support
- Career growth opportunities through complex, high-impact enterprise AI projects
- Collaborative, global, and values-driven engineering culture
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How Jobgether works:
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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