
AI Solutions Architect
10 hours ago
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.
This role acts as the bridge between innovation and operations, ensuring our AI solutions consistently deliver value and operate seamlessly in real-world environments. The successful candidate will lead efforts to monitor deployments, troubleshoot issues, and define best practices for sustaining AI systems throughout their lifecycle.
Main Responsibilities- Monitoring & Sustenance:
- 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 Engagement:
- Work with cross-functional teams (engineering, product, operations, etc.) to ensure alignment of AI sustainment activities with business objectives.
- 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.
- Critical Incident Response:
- 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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