Assignment Description

We are looking for a hands-on AI & Automation Engineer to modernize Data Center and Infrastructure operations across compute, virtualization, HCI, storage, backup, Windows/Linux, identity, network, security and hybrid cloud. The goal is to reduce manual work and move toward an SRE/PRE/MIRE operating model based on automation, observability, self-service and proactive operations.

You will build reusable, production-grade automation and self-service workflows for provisioning, patching, backup/recovery, access, configuration and infrastructure lifecycle management. The role includes Ansible Automation Platform, Python, PowerShell/Bash, Terraform/OpenTofu, APIs, GitOps and CI/CD, with strong focus on testing, rollback, approval and auditability.

You will develop AI-native infrastructure capabilities using GenAI, LLMs/SLMs, Microsoft Copilot/Copilot Studio, RAG/Agentic RAG, agents, MCP/A2A and tool calling. Use cases include incident triage, root-cause analysis, capacity forecasting, change-risk assessment and controlled self-healing, supported by LLMOps/GenAIOps practices.

The role covers VMware, Hyper-V, Azure Local/HCI, Windows/Linux, Active Directory, storage and Cohesity/backup, DR, containers/Kubernetes and Azure/hybrid cloud. You will use AIOps and observability to correlate telemetry, detect anomalies, predict risks and automate remediation while measuring reliability through SLI/SLO, MTTR/MTTD, availability and change-failure metrics.

You will integrate ServiceNow ITSM/ITOM and CMDB with infrastructure, monitoring, security and automation platforms to enable end-to-end workflows. All automation and AI solutions must follow Zero Trust, least privilege, RBAC, secure identities, policy/security-as-code and controlled approval processes for privileged or high-risk actions.

Required skills:

• You have strong experience with Windows Server, Linux/Unix, Active Directory, Group Policy and DNS/DHCP.
• You have experience with VMware vSphere/ESXi/vCenter, Hyper-V, Azure Local/Azure Stack HCI and HCI platforms.
• You have experience with SAN/NAS, enterprise storage, replication and backup/recovery platforms such as Cohesity.
• You have hands-on automation experience with Ansible, Python, PowerShell/Bash, Terraform/OpenTofu, REST APIs, JSON/YAML and Git.
• You have experience with GenAI, LLMs/SLMs, Agentic AI, Copilot/Copilot Studio, Azure OpenAI, Microsoft Foundry, RAG/Agentic RAG, vector search, MCP/A2A and LLMOps.
• You have knowledge of SRE/PRE/MIRE, SLI/SLO, error budgets, MTTR/MTTD, change failure rate and toil reduction.
• You have experience with AIOps and observability, including telemetry, anomaly detection, event correlation, predictive analytics and OpenTelemetry.
• You have experience with Azure, Azure Local/Arc, Azure Monitor/DevOps, containers/Kubernetes and platform engineering.
• You have experience with ServiceNow, CMDB/ITOM, monitoring/NMS, SIEM/SOAR and enterprise APIs.
• You have a bachelor’s degree in Computer Science, IT, Engineering or equivalent experience.
• You have 10+ years of experience in Data Center, Infrastructure, Cloud, Virtualization or Automation engineering, including hands-on enterprise infrastructure operations.
• You have production experience with Ansible and scripting/API-based automation and experience with VMware and/or Hyper-V.
• You have practical experience with AI, Copilot, AIOps or intelligent automation and can work across Infrastructure, Cloud, Network, Security, Service Management and Architecture teams.

Preferred certifications:

• You have relevant Microsoft Azure/Azure Local/Windows Server/Linux certifications.
• You have VMware VCP or equivalent virtualization certification.
• You have Red Hat/Ansible Automation certification.
• You have Cohesity or equivalent data-protection certification.
• You have Terraform Associate or equivalent IaC certification.
• You have Microsoft AI/Copilot/Foundry credentials.
• You have ITIL and/or ServiceNow certification.

Assignment Description

We are looking for an AI & Automation Architect to lead end-to-end architecture from business need to production across AI, GenAI, LLMs, agentic systems, automation, AIOps, cloud, security and enterprise infrastructure.

You will own the target architecture, standards, reference patterns and technology roadmap, including model and platform selection, data and integrations, security and governance. You will guide engineering teams from discovery and POC through deployment, operations and lifecycle management while remaining hands-on with prototyping, technology evaluation and architecture/code reviews.

The role covers LLM/GenAI architecture, model evaluation, fine-tuning, routing and monitoring, as well as RAG, embeddings, vector/semantic search and knowledge grounding. You will design single- and multi-agent solutions using tool/function calling, MCP/A2A, controlled automation, human approval and observability.

You will work across Microsoft Copilot, Copilot Studio, Azure OpenAI, Microsoft Foundry and Power Platform, as well as Data Center, Network, Security, Workplace/EUC, Service Management and Hybrid Cloud. You will define AIOps, SRE and automation patterns using OpenTelemetry, Ansible, Python, PowerShell, Terraform/OpenTofu, APIs, GitOps and CI/CD.

The role also includes AI security, Zero Trust and governance, covering RBAC, data protection, guardrails, auditability and human approval, alongside LLMOps/MLOps/GenAIOps for testing, monitoring, versioning, model quality, FinOps and continuous improvement.

Required skills:

• You have broad AI expertise across LLMs/SLMs, multimodal and foundation models, fine-tuning, RAG/Agentic RAG, embeddings, vector databases, knowledge graphs, agents, MCP/A2A and AI evaluation.
• You have experience with Microsoft Copilot/Copilot Studio, Microsoft Foundry, Azure OpenAI, Power Platform, Azure Functions, Logic Apps and API Management.
• You have strong automation skills in Ansible, Python, PowerShell/Bash, Terraform/OpenTofu, APIs, Git/GitOps and CI/CD.
• You have experience across Data Center technologies including VMware, Hyper-V, Azure Local/HCI, Windows/Linux, AD, storage, backup, DR and Cohesity.
• You have experience with network and security technologies such as Aruba, Palo Alto, SD-WAN, VXLAN/EVPN, Zero Trust, NAC, SASE/SSE, SIEM/SOAR and NDR.
• You have experience with Microsoft 365, Intune, Autopilot, Entra ID, Defender, Citrix/EUC and DEX.
• You have knowledge of NRE/SRE/PRE/MIRE, SLI/SLO, observability, error budgets and autonomous remediation.
• You have experience with ServiceNow ITSM/ITOM/CMDB, AIOps, event management, Power BI and hybrid cloud.
• You have 15+ years of experience in enterprise architecture, infrastructure, cloud, automation, software engineering or related roles, including substantial hands-on delivery.
• You have proven experience designing and delivering production-grade enterprise AI/GenAI or automation platforms beyond strategy and POCs.
• You have experience taking AI/automation from business case and architecture through engineering, production and adoption.
• You have strong understanding of network, security, data center, workplace and cloud operations, combined with strong communication and architecture governance skills.

Preferred certifications:

• You have Microsoft Azure Architect, AI Engineer, DevOps, Security or equivalent certification.
• You have AI/ML, GenAI or relevant cloud AI credentials.
• You have Terraform and/or Red Hat Ansible Automation certification.
• You have VMware, Aruba and/or Palo Alto professional certifications.
• You have TOGAF or equivalent enterprise architecture qualification.
• You have ITIL/ServiceNow, SRE and/or cloud architecture credentials.

Assignment Description

We are looking for a hands-on AI & Automation Technical Lead to drive AI and automation across Data Center, Network, Cyber Security and End User Services. You will own the roadmap, architecture and delivery while leading engineers and actively building production-ready solutions.

The role includes developing AI assistants, agents, self-service workflows and automation using Generative/Agentic AI, LLMs, RAG, MCP/A2A and modern orchestration frameworks. You will work with platforms such as Azure AI Foundry, Azure OpenAI, Microsoft Copilot, ServiceNow and Ansible, supported by Python, PowerShell, APIs, Terraform/IaC, CI/CD and cloud-native technologies.

You will also drive AIOps, observability and self-healing capabilities, including intelligent incident management, event correlation and automated remediation. A key responsibility is ensuring secure and governed AI through guardrails, RBAC, data protection, human approval, auditability and cost optimization.

The goal is to reduce manual work and tickets, improve recovery and self-service, strengthen operational security and deliver measurable efficiency and cost savings.

Required Qualifications:

• You have a strong background in enterprise automation, AI, platform or infrastructure engineering.
• You have proven experience taking POCs into secure, supportable production.
• You have hands-on experience with Python/PowerShell, Ansible, APIs, Git and IaC.
• You have experience integrating enterprise platforms across infrastructure, security, workplace and service management.
• You have technical leadership experience and can communicate complex technology in clear business language.
• You have a degree in Computer Science, IT, Engineering or equivalent practical experience.

Preferred Qualifications:

• You have Microsoft Azure, AI, Security, Microsoft 365 and/or Power Platform certifications.
• You have AI-103, AI-300 or equivalent Azure AI engineering capability.
• You have Red Hat Ansible and/or ServiceNow certifications.
• You have experience with ITIL, AIOps, SRE, FinOps and/or enterprise architecture.