Manager, AI and Cloud Solutions
$165,000–$165,000 year
Remote · United States or US
Job Summary
Hands-on technical leader to own two complementary workstreams: enterprise cloud infrastructure management and internal AI delivery. Manage AWS and Azure architecture, security, cost, and reliability while deploying AI-powered tools and integrations. Lead and mentor a small team of cloud and AI engineers, drive production readiness, observability, and security controls, and partner with Security. Design scalable, durable services, prioritize work based on existing tech stack, and steer adoption through metrics and feedback. Strong focus on API integrations, copilots/agents, and enterprise AI enablement across cloud and AI domains.
Required Qualifications
- 3+ years of software or systems engineering experience delivering internal tools or services end-to-end (design, build, deploy, operate)
- at least 1 year supervising or leading technical staff
- Demonstrated expertise with AWS and Azure core infrastructure services
- serverless and data services, with the ability to architect and operate production workloads
- Experience with AWS and Azure cost management practices, including Cost Explorer, Budgets, and tagging strategies
- Experience building LLM-based applications and enterprise integrations, including APIs, MCPs, automation frameworks, and workflow orchestration
- Working knowledge of practical AI implementation patterns including embeddings, retrieval, prompt engineering, evaluation, and safe rollout practices
- experience on enterprise AI platforms such as Microsoft Copilot, OpenAI, or Anthropic APIs
- Experience with containerization (Docker/Kubernetes) and operating in regulated or security-conscious environments
- Ability to reason carefully about tradeoffs and long-term maintainability of AI-infused systems, and communicate architecture decisions clearly to non-technical stakeholders
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