Chief Artificial Intelligence Technologist

Job Summary

We are seeking a highly skilled and proactive AI professional 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.

Key Responsibilities:

• Maintenance & Sustainment: 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.

Requirements:

• Required: Bachelor's degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred. 9+ years of experience in machine learning, data science, or software engineering roles, with significant exposure to Computer Vision and Generative AI projects. 4+ years of experience specifically focused on AI/ML development and sustain the applications / solutions.
• Preferred: Experience with MLOps practices and tools, particularly for large-scale AI systems. Familiarity with AI ethics and responsible AI principles, especially as they relate to Generative AI. Knowledge of relevant AI regulations and compliance requirements, including those specific to Computer Vision applications.

Key Competencies:

• Strong analytical and critical thinking skills
• Excellent communication and collaboration abilities
• Proactive and self-motivated work ethic
• Ability to explain complex technical concepts to both technical and non-technical audiences
• Adaptability and willingness to learn in a rapidly evolving field
• Strong mentorship and leadership skills
• Deep curiosity and passion for AI, particularly in ML, Computer Vision, and Generative AI domains