AI Support Specialist integrating cloud and automation systems at Sinclair’s Innovation Lab. Focusing on deploying AI-driven solutions in engineering, IT, and business operations.
Responsibilities
Develop robust API integrations between SaaS, enterprise platforms, and internal tools.
Design and deploy low-code/no-code automations for operational efficiency.
Own system integration projects from requirements gathering through testing and rollout.
Manage cloud deployments (AWS, Azure, GCP) for AI and automation projects.
Implement CI/CD pipelines, monitoring, and cost optimization strategies.
Guide infrastructure scaling for multi-agent workflows and AI applications.
Develop prompts and optimize LLM performance for accuracy, efficiency, and cost.
Fine-tune or adapt models for Sinclair-specific workflows.
Establish monitoring frameworks for model reliability, bias detection, and responsible use.
Build and maintain structured data pipelines for AI workflows.
Normalize and integrate data from multiple enterprise sources (ERP, CRM, CMS, etc.).
Collaborate with data scientists on feature engineering and deployment readiness.
Understand and work with internal teams to ensure secure identity and access management, including SSO across AI tools.
Enforce responsible AI standards, compliance, and auditability across deployments.
Contribute to governance frameworks for enterprise-wide AI adoption.
Requirements
5+ years of experience across cloud engineering, API integration, or automation.
Proven track record of designing and deploying solutions on AWS, Azure, or GCP.
Strong expertise with APIs, data pipelines, and enterprise integrations.
Practical experience with LLMs (prompt engineering, optimization, or fine-tuning).
Hands-on experience with workflow automation (ServiceNow, Copilot Studio, Zapier/n8n, or similar).
Working knowledge of security frameworks, SSO, and compliance requirements
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