Associate Architect - MLE

Location: Remote – US based candidates only, no visa sponsorship available

Compensation: $125,000 – $150,000 annually

About the role

This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a technology-driven environment.

Responsibilities

• Architect and enhance enterprise-grade Python SDK frameworks for better developer productivity
• Design scalable Agentic AI architectures for automating complex business workflows
• Lead the creation of reusable AI platform components focusing on performance and reliability
• Optimize RESTful APIs using FastAPI to support AI services and inference pipelines
• Define architecture standards and best practices for SDK and ML platform development
• Establish CI/CD processes to automate deployment and testing
• Collaborate with cross-functional teams to translate business needs into technical solutions
• Monitor and improve model quality and system performance using observability strategies

Qualifications

• 7+ years of experience in machine learning engineering and architecture roles
• Expert-level proficiency in Python for building enterprise-grade ML applications
• Strong experience with FastAPI for designing scalable APIs
• Hands-on experience in designing Agentic AI workflows and multi-agent systems
• Proven track record in implementing CI/CD pipelines using Jenkins and GitLab Runners
• Strong understanding of LLM orchestration and AI workflow automation
• Excellent communication and stakeholder management skills

Benefits

• Opportunity to impact a leading AI-first digital engineering company
• Professional development through problem-solving in advanced technology areas
• Collaborative work environment with innovators and a strong patent portfolio
• Exposure to new AI, ML, and cloud technologies while working with Fortune 500 clients