AI Solutions Architect

2 weeks ago

Anand, Gujarat, India beBeeArtificial Full time US$ 2,00,000 - US$ 2,50,000
Job Description:

The Role Overview

We are seeking a highly skilled and proactive AI Solutions SRE Lead to oversee the maintenance, optimization, and ongoing performance of deployed AI/ML systems and solutions. In this role, you'll act as the bridge between innovation and operations, ensuring our AI solutions consistently deliver value and operate seamlessly in real-world environments.

Main Responsibilities

  • Lead the post-deployment 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

  • Continuously assess and optimize the performance of AI models 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

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

Governance & 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

  • 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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