AWS Sagemaker Architect

Insight Global is seeking a hands-on Solution Architect with deep expertise in AWS SageMaker and MLOps to lead the design, implementation, and strategic roadmap for enterprise-scale machine learning solutions in AWS. This role requires a strong technical foundation combined with the ability to drive architecture decisions, influence stakeholders, and ensure operational excellence in ML model deployment and lifecycle management.
A background or strong understanding of wealth management processes, products, and data flows is essential to align ML solutions with business objectives in the financial services domain.

Responsibilities
• Architect and implement end-to-end ML solutions leveraging AWS SageMaker and related AWS services.
• Define and own the strategy and roadmap for MLOps, ensuring scalability, security, and compliance.
• Collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models into production environments.
• Design CI/CD pipelines for ML workflows, including model training, testing, deployment, and monitoring.
• Establish best practices for model governance, versioning, and reproducibility.
• Provide technical leadership and mentorship to engineering teams on cloud-native ML architecture.
• Partner with wealth management business stakeholders to align ML solutions with organizational goals and KPIs.
• Stay current with emerging technologies and drive innovation in ML and cloud architecture.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

• 5+ years of experience in solution architecture with a focus on AWS cloud and ML systems.
• Hands-on experience with AWS SageMaker for model training, deployment, and monitoring.
• Proficiency in AWS services such as Lambda, Step Functions, CloudFormation, and IAM for secure and automated workflows.
• Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow) to support operationalization of ML models.
• Strong understanding of CI/CD pipelines for ML workflows using AWS tools.
• Knowledge of wealth management domain (investment products, portfolio optimization, regulatory compliance) to align with business objectives.
• Excellent communication and stakeholder management skills.

• AWS Certified Solutions Architect – Professional or Specialty in Machine Learning.
• Experience with large-scale ML deployments in financial services or wealth management.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.