AI Platform Manager

City of Chattanooga-posted 6 days ago
Full-time • Mid Level
Chattanooga, TN
1,001-5,000 employees
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Incumbents in this position will lead the lifecycle management, operational support, and ethical deployment of artificial intelligence (AI) across various city departments. This position will be responsible for overseeing the successful integration of AI solutions into existing enterprise systems and developing new AI-powered capabilities to enhance citizen services, optimize city operations, and support data-driven decision-making. The Manager AI Application Systems will collaborate extensively with business stakeholders, data analysts, and IT infrastructure teams, ensuring that AI applications are reliable, secure, compliant with ethical guidelines and privacy regulations, and deliver tangible value to the citizens and employees of Chattanooga.

  • Supports the Director in defining and articulating a strategic vision for the application of AI within Chattanooga's municipal operations, identifying opportunities to leverage AI for improved public services, efficiency, and data-driven decision-making.
  • Develops and maintains a prioritized roadmap for AI application deployment across city departments.
  • Leads the design, development, integration, and deployment of AI-powered applications tailored to municipal needs, such as enhancing the smart traffic management system, optimizing waste management, or developing advanced citizen service chatbots.
  • Oversees the technical architecture of AI solutions, ensuring scalability, reliability, and security, utilizing Google Cloud and its AI capabilities (e.g., Gemini, Vertex AI).
  • Acts as the primary liaison between technical AI teams and non-technical city departments. Translates complex technical concepts into clear, actionable insights for city leadership and staff. Facilitates requirements gathering, manages expectations, and drives alignment across diverse municipal stakeholders to ensure AI solutions address real-world city challenges.
  • Collaborates with DTS divisions to ensure the availability, quality, and ethical sourcing of data for AI models. Works with colleagues and partners to establish data management practices (labeling, cleaning, and ongoing validation) to prevent bias and ensure the accuracy and fairness of AI outputs, particularly for citizen-facing applications.
  • Leads the integration of ethical AI principles (transparency, fairness, accountability, privacy) into the entire AI application lifecycle. Ensures all AI deployments comply with relevant state and federal data privacy laws and emerging AI regulations, including City AI Policies. Helps oversee privacy impact assessments and establish clear human oversight mechanisms for AI-driven decisions that affect citizens.
  • Establishes key metrics for measuring the impact and effectiveness of deployed AI applications. Continuously monitors AI model performance, identifies areas for improvement, and leads iterative improvement cycles to refine solutions based on performance data and user feedback.
  • Works with the Director to evaluate and manage third-party AI vendors and technologies, ensuring their solutions align with Chattanooga's strategic goals, security standards, and ethical guidelines. This includes conducting thorough due diligence and requiring transparent explanations of algorithms.
  • Oversees the full lifecycle of Google AI applications, ensuring robustness, scalability, and expected performance. Establishes and manages processes for continuous monitoring, performance tuning, and troubleshooting of Google AI models and applications, implementing proactive measures for high availability. Leads the integration of Google AI models and applications with city enterprise systems and oversees their technical deployment.
  • Identifies and mitigates risks associated with AI deployment (technical, ethical, bias, operational). Develops and helps enforce ethical AI guidelines (fairness, transparency, accountability, privacy) and ensures compliance with relevant data privacy and AI regulations.
  • Collaborates with the data team on data quality, accessibility, and governance for AI model training and inference. Ensures MLOps best practices are implemented (version control, automated testing, CI/CD, model drift detection) and optimizes AI application performance and resource utilization.
  • Understands and manages system integrations, coordinates training documentation, and manages application governance/strategy, creating policies and procedures.
  • Develops and maintains comprehensive documentation for all AI applications, covering architecture, deployment, operations, and ethics.
  • Contributes to budget development and management for AI application development and operations.
  • Manages AI-related Service Requests, triages user support (problem management, root cause analysis), and manages/prioritizes support requests.
  • Performs service-specific maintenance and administration tasks, monitoring service details and notifications.
  • Manages users, provisions roles and data access, implements user security, builds custom roles, and reviews/audits user accounts and permissions.
  • Manages accounts and subscriptions, exports metric data, views account usage, and provides reports.
  • Oversees change management strategy and policy, and reviews/verifies production and non-production updates, enhancements, and testing.
  • Builds and assists with custom reporting, and prepares/maintains process documentation and knowledge articles.
  • Works with internal staff, vendors, and assigned software to communicate environment schedules and outages, monitors/communicates system performance, and resolves system issues.
  • Must meet regular attendance requirements.
  • Must be able to maintain good interpersonal relationships with staff, co-workers, managers and citizens.
  • Must accomplish the essential functions of the job, with or without reasonable accommodations, in a timely manner.
  • Performs other duties as assigned.
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Information Technology, or a closely related quantitative field.
  • Minimum of seven (7) years of progressive experience in software development, data science, or IT operations, with a significant focus on AI/ML application deployment and management; or any combination of equivalent experience and education.
  • Experience deploying and managing AI/ML models in production with MLOps exposure.
  • Experience with cloud-based AI/ML platforms (e.g., Google Cloud AI Platform).
  • Experience integrating AI solutions with enterprise systems (APIs, message queues).
  • Ability to manage multiple AI projects simultaneously, adhering to scope, schedule, and budget.
  • Knowledge of AI ethics, fairness, bias detection, and responsible AI.
  • Ability to diagnose complex AI application issues and develop solutions.
  • Knowledge of AI/ML model deployment, monitoring, and lifecycle management.
  • Knowledge of IT infrastructure for AI workloads and data pipelines.
  • Knowledge of AI/ML techniques and their practical applications.
  • Knowledge and experience with MLOps best practices and tools.
  • Familiarity with data governance, privacy regulations, and ethical AI considerations.
  • Familiarity with AI programming languages and scripting for automation.
  • Written and verbal communication skills for technical and non-technical audiences.
  • Preferred ITIL® certifications
  • CompTIA certifications (DataSys+, Network+, Infrastructure+, Project+)
  • Cognitive Project Management in AI (CPMAI™)
  • Google Cloud Professional Machine Learning Engineer
  • Google Cloud Professional Data Engineer
  • Project Management Professional (PMP)
  • Agile Certifications (SCRUM, SAFE)
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