AI & Automation Architect
RDT is looking for an AI & Automation Architect to lead the architecture and delivery of enterprise-scale AI, automation and intelligent operations initiatives.This is a hands-on architecture role covering the journey from business need and architecture through POC, production deployment and operational adoption. You will define target architectures, standards and reusable patterns across AI/GenAI, automation, AIOps, cloud, infrastructure, security and enterprise platforms.Key responsibilitiesDefine enterprise AI and automation architectures, standards, patterns and technology roadmaps.Lead solutions from discovery and business case through POC, production deployment and lifecycle management.Design and evaluate solutions using LLMs, SLMs, RAG, Agentic RAG, embeddings, vector/semantic search, knowledge graphs and AI agents.Architect agentic solutions using tool calling, MCP, A2A and enterprise integrations.Work with Microsoft Copilot, Copilot Studio, Azure OpenAI, Microsoft Foundry, Power Platform, Azure Functions, Logic Apps and API Management.Design automation and intelligent operations using Ansible, Python, PowerShell, Bash, Terraform/OpenTofu, APIs, Git/GitOps and CI/CD.Apply AI and automation across Data Center, Network, Security, Workplace/EUC, Service Management and Hybrid Cloud environments.Architect AIOps/SRE and autonomous remediation patterns using observability, telemetry, event correlation and OpenTelemetry.Establish secure AI architectures covering Zero Trust, RBAC, data protection, guardrails, approvals, auditability and governance.Define LLMOps/MLOps/GenAIOps practices for testing, evaluation, monitoring, versioning, quality and cost management.Collaborate with infrastructure, security, network, workplace, cloud and service-management teams and translate business requirements into scalable technical solutions.Guide technical teams through architecture reviews, prototyping, implementation and production adoption.Key technical areasAI/GenAI: LLMs, SLMs, multimodal AI, foundation models, fine-tuning, RAG, Agentic RAG, embeddings, vector databases, semantic search, knowledge graphs, AI agents, MCP, A2A and AI evaluation.Microsoft AI: Copilot, Copilot Studio, Azure OpenAI, Microsoft Foundry, Power Platform, Azure Functions, Logic Apps, API Management.Automation & DevOps: Ansible, Python, PowerShell, Bash, Terraform/OpenTofu, REST APIs, Git, GitOps and CI/CD.Infrastructure: VMware, Hyper-V, Azure Local/Azure Stack HCI, Windows/Linux, Active Directory, storage, backup, disaster recovery and HCI.Network & Security: Aruba, Palo Alto, SD-WAN, VXLAN/EVPN, Zero Trust, NAC, SASE/SSE, SIEM, SOAR and NDR.Workplace/EUC: Microsoft 365, Intune, Autopilot, Entra ID, Defender, Citrix and Digital Employee Experience.Operations: SRE/PRE/MIRE, SLI/SLO, observability, error budgets, autonomous remediation, AIOps and event management.Service Management: ServiceNow ITSM/ITOM/CMDB, AIOps, monitoring and Power BI.Governance: AI security, responsible AI, data protection, RBAC, guardrails, auditability, approval workflows and FinOps.Required experience15+ years of experience across enterprise architecture, infrastructure, cloud, automation and/or software engineering.Strong hands-on experience designing and delivering enterprise AI/GenAI and automation solutions beyond POCs.Broad understanding of enterprise infrastructure across cloud, data center, networking, security, workplace and service management.Proven experience taking solutions from business requirement → architecture → POC → production → adoption.Strong experience with LLM/GenAI architecture, RAG, AI agents and enterprise AI integrations.Strong experience with Python and/or PowerShell, APIs and infrastructure automation.Experience with Ansible and Terraform/OpenTofu and modern Git/CI/CD practices.Experience with Microsoft AI platforms such as Copilot, Copilot Studio, Azure OpenAI and/or Microsoft Foundry.Strong understanding of security, Zero Trust, governance, identity and data protection in enterprise AI environments.Experience with AIOps, SRE/observability and intelligent automation.Strong architecture communication skills, with the ability to work across technical teams and business stakeholders.Bachelor's degree or equivalent professional experience.PreferredAzure Architect, Azure AI Engineer, Azure DevOps or Azure Security certifications.AI/ML/GenAI or cloud AI certifications.Terraform or Ansible certifications.VMware, Aruba or Palo Alto certifications.TOGAF or similar enterprise architecture framework.ITIL and/or ServiceNow experience.SRE, cloud architecture or AI governance experience.