CRC Group
AIDevelopmentLead-Infrastructure&Automation
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Development Lead - Infrastructure & Automation at CRC Group. Skills: AI-driven infrastructure and operations automation, Agent-based systems for network operations, cloud, and service operations, Deep integration with enterprise platforms (cloud, ITSM, network, observability), Advanced AI tooling and AI-assisted development, Scalable, monitored, and governed AI systems. Architect, build, and operate AI agents that monitor, manage, and remediate: Network and infrastructure operations, Cloud pl”
What You'll Achieve.
AI agents actively handling and assisting real infrastructure and service operations use cases; Reduced operational toil through automation and intelligent remediation; Engineers using AI tools as a natural extension of the development and operations lifecycle; A scalable, secure, and observable AI-powered operations platform trusted by Enterprise Technology & Operations
Industry & Context.
remediate; cost/usage optimization; incident, problem, change, request
What They're Looking For.
Must Have
8+ years of deep technical engineering experience, with proven hands-on team leadership, background in infrastructure, platform engineering, or SRE, not just application development, Demonstrated experience building and operating automation or AI-driven operational systems, Deep familiarity with Cloud platforms (Azure preferred), Deep familiarity with Infrastructure as Code (Terraform, ARMicep, etc. ), Deep familiarity with Containers and platforms (Kubernetes, Docker), Deep familiarity with CI/CD pipelines and developer platforms, Practical experience with LLMs, agents, or automation frameworks, including: LLM integration and orchestration, Practical experience with LLMs, agents, or automation frameworks, including: Agent-based workflows, Practical experience with LLMs, agents, or automation frameworks, including: Retrieval and context systems, Proven ability to lead teams building production-grade systems, not experiments
Nice to Have
Experience using advanced AI developer tools (Foundry-style platforms, AI-driven coding agents), Experience integrating AI into Network operations, Experience integrating AI into Cloud governance, Experience integrating AI into IT Service Management platforms, Background in high-velocity environments, Master’s degree or advanced certifications in cloud, AI, or infrastructure engineering
What You'll Do.
and operate AI agents that monitor
and remediate: Network and infrastructure operations
Cloud platforms and cost/usage optimization
Service management (incident
Design event-driven and agentic architectures that integrate AI agents directly into operational workflows and tooling
Lead development of AI copilots and autonomous systems embedded in infrastructure and operations platforms
Drive adoption and production use of cutting-edge AI and development platforms
Continuously evaluate emerging tools
and orchestration patterns for applied enterprise AI
Lead deep integrations between AI services and: Cloud platforms (Azure-first
multi-cloud where required)
Network management and monitoring systems
IT Service Management (ITSM) platforms
and telemetry platforms
Ensure AI solutions are designed for production resiliency
and enterprise operability
Partner closely with infrastructure
and service management teams
Lead and scale multiple development teams (AI engineers
automation engineers)
Set engineering standards for: Agent development and lifecycle management
CI/CD and Infrastructure as Code
Secure-by-design AI services
Observability and runtime monitoring of AI systems
Stay hands-on with architecture
critical design decisions
and complex implementations
Establish standards for: AI runtime monitoring
and performance tracking
Responsible AI usage within operational systems
Ensure AI-enabled infrastructure solutions meet enterprise requirements for: Security
Change management and auditability
Hybrid and multi-cloud support
How You'll Work.
Team & Collaboration
Lead and scale multiple development teams (AI engineers, platform engineers, automation engineers); Partner closely with infrastructure, cloud, network, security, and service management teams
Full Job Description
**The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You 'll be required to create an account or sign in to an existing one.** __If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to__[Accessibility](mailto:[email protected]?subject=Accommodation%20request) __(accommodation requests only; other inquiries won 't receive a response).__ **Regular or Temporary:** Regular **Language Fluency:** English (Required) **Work Shift:** 1st Shift (United States of America) **Please review the following job description:** The AI Development Lead – Infrastructure & Automation is a senior technical leadership role responsible for building and scaling AI-driven infrastructure automation across Enterprise Technology & Operations. Reporting to the CTO, this role will own agent-based development, platform integrations, and AI-enabled operations spanning network operations, cloud management, service management, and internal developer platforms. This leader will manage multiple highly technical development teams and is expected to be hands-on, opinionated, and deeply technical. The ideal candidate is energized by working with emerging, fast-moving AI tooling and excels at integrating AI capabilities directly into enterprise infrastructure, operations, and control planes—not just application layers. The role sits at the intersection of platform engineering, infrastructure operations, and applied AI, translating novel AI capabilities into reliable, secure, observable, production-grade systems. **Core Focus Areas** * AI-driven infrastructure and operations automation * Agent-based systems for network operations, cloud, and service operations * Deep integration with enterprise platforms (cloud, ITSM, network, observability) * Advanced AI tooling and AI-assisted development * Scalable, monitored, and governed AI systems **Key Responsibilities** **AI Infrast
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