Are you an AI Technical Architect eager to shape the future of intelligent systems within a high-impact innovation team? This advanced group of specialists, including machine learning engineers, data scientists, and AI architects, is driving transformative solutions that influence enterprise decision-making across industries.

What You’ll Be Doing

• Architect Scalable AI Systems: Develop and implement robust strategies for deploying and monitoring models at scale.
• Design Intelligent Pipelines: Build end-to-end machine learning workflows for both batch and real-time processing.
• Collaborate Cross-Functionally: Partner with engineering, data science, and software teams to embed AI into production environments.
• Engineer Infrastructure: Create resilient platforms for model training, deployment, and lifecycle management.
• Lead Deployment Practices: Establish scalable, secure environments for operationalizing AI models.
• Monitor & Optimize: Build tools to track model performance, data integrity, and system health.
• Ensure Compliance: Maintain high standards for data privacy, security, and regulatory alignment.
• Document & Educate: Produce clear technical documentation to support team knowledge-sharing.
• Champion Governance: Advocate for best practices in AI development and monitoring.
• Solve Complex Challenges: Address architectural and pipeline issues with innovative solutions.
• Influence Strategy: Contribute to technical direction and leadership in emerging AI technologies.
• Deliver Impact: Build AI systems that scale effectively and drive measurable business value.

Compensation & Benefits (U.S.-Based Candidates)

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• Salary Range: $150,000 – $210,000, depending on experience and location.
• Benefits Package: Includes comprehensive health coverage, retirement plans, and wellness programs.

What You’ll Bring

• Degree in Computer Science, Engineering, or a related field (Bachelor’s or Master’s)
• Hands-on experience in ML engineering, architecture, or data science within cloud/distributed systems
• Proven success designing enterprise-grade AI architectures
• Strong stakeholder engagement in AI strategy and execution
• Familiarity with Agile development methodologies
• Expertise in distributed systems, orchestration tools, and cloud platforms
• Proficiency in MLOps tools and machine learning frameworks
• Experience with DevOps, CI/CD, and version control systems
• Deep knowledge of AI trends and platform evolution

This is a hybrid role with on-site collaboration expected at offices located in the New York or New Jersey area.