• Build data pipelines that scrub PII, create research datasets, and power the research portal for educational AI studies • Architect the path toward self-hosted and on-device model deployments for privacy and global accessibility • Design and implement model orchestration systems that intelligently route requests across multiple AI providers (OpenAI, Anthropic, AWS Bedrock, open-source models) • Build cost optimization infrastructure - implement conversation compression, prompt caching, and smart model selection to keep AI accessible • Create comprehensive observability systems for ML operations - track costs, latency, quality, and usage patterns across thousands of applications • Design and implement infrastructure for fine-tuning and deploying custom models • Build monitoring and alerting systems that help us maintain reliability as AI interactions scale

• Implement and support infrastructure technologies such as Microsoft Azure, VMware and networking technologies • Execute migrations of on-premises platforms to cloud infrastructure • Manage enterprise support requests from clients subscribing to Kraft Kennedy’s enterprise managed services • Execute planned evening and weekend maintenance tasks in support of Kraft Kennedy’s enterprise managed services clients, when necessary • Participate in weekly on-call rotation for evening and weekend support assistance, as requested by enterprise managed services clients • Escalate to internal and, when necessary, external resources in an appropriate time frame to manage the resolution of complex client issues • Provide on-site support, as necessary

- IT Support & Helpdesk - Provide Tier 1–2 technical support for desktops, laptops, printers, and mobile devices - Troubleshoot hardware, software, OS, and application issues - Set up, configure, and maintain user accounts, email, and access permissions - Respond to tickets, document issues, and ensure timely resolution - Support onboarding/offboarding of employees (devices, accounts, access) - Systems Administration - Install, configure, and maintain Windows/Linux servers and workstations - Manage Active Directory, user/group policies, and permissions - Monitor system performance, backups, patches, and updates - Maintain virtualization environments (VMware/Hyper-V or similar) - Ensure security best practices, antivirus, patching, and access controls - Document systems, procedures, and configurations - Network Administration - Configure and maintain LAN/WAN, switches, routers, firewalls, and Wi-Fi - Monitor network performance, uptime, and security - Troubleshoot network connectivity and performance issues - Manage VPNs, DNS, DHCP, and basic firewall rules - Assist with network upgrades, expansions, and improvements

• Own and improve observability across the entire stack: metrics, logging, alerting, dashboards. • Architect and operate browser cloud infrastructure: containerized browsers, session isolation, crash recovery, autoscaling. • Handle websocket connections, CDP tunnels, and TCP-level tuning for browser automation. • Write and maintain Terraform for all infrastructure. Everything is code. • Tune autoscaling, capacity planning, and cost optimization. • Expand to new regions as we grow. • Experiment with Lambdas, new cloud providers for custom scraping needs. • Debug production issues: memory leaks, zombie processes, network failures. • Build disaster recovery and incident response runbooks. • Work with Linux systems, Dockerfiles, container orchestration daily.