Artificial Intelligence Solutions Architect

21 hours ago

Aurangabad, Maharashtra, India beBeeAI Full time US$ 1,20,000 - US$ 1,40,000

Job Overview

We are seeking a skilled AI Solutions Architect to design, implement and maintain deployed AI/ML systems and solutions. In this role, you'll bridge innovation and operations, ensuring our AI solutions consistently deliver value and operate seamlessly in real-world environments.

Key Responsibilities:

  • Lead the lifecycle of AI solutions, ensuring continued functionality, reliability and scalability.
  • Establish monitoring frameworks to oversee system performance, usage and metrics for AI/ML models and APIs.
  • Detect anomalies in AI systems, troubleshoot operational issues and initiate timely corrective actions.

Performance Optimization Strategies:

  • Continuously assess and optimize AI model performance to maintain efficiency and accuracy in production environments.
  • Collaborate with data scientists and engineers to refine algorithms, retrain models and update solutions as needed.
  • Implement automation where possible to streamline maintenance processes.

Stakeholder Collaboration and Communication:

  • Work with cross-functional teams (engineering, product, operations) to ensure alignment of AI sustainment activities with business goals.
  • Communicate effectively with stakeholders to provide updates on system health, risks and improvements.

Governance and Best Practices:

  • Define and implement best practices for sustaining AI solutions, including documentation, testing protocols and version control.
  • Ensure compliance with ethical AI standards, regulatory guidelines and established governance frameworks.
  • Manage and mitigate risks associated with model drift, data shifts and system vulnerabilities.

Incident Management and Resolution:

  • Lead responses to critical incidents involving AI systems by performing root cause analysis and deploying solutions for quick resolution.
  • Advocate for proactive risk prevention and early detection strategies.
  • Mentor and develop junior team members, fostering their skills in AI observability and domain-specific knowledge in ML, Computer Vision and Generative AI.

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