{"id":2550864,"url":"https://alion.io/job/hcltech-solution-architect-jenkinswindows-powershell","title":"Solution Architect - Jenkins,Windows PowerShell","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":33},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"Ansible","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Incident Management","optional":false},{"name":"ITSM","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power Automate","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Self-Healing","optional":false},{"name":"Service Desk","optional":false},{"name":"ServiceNow","optional":false},{"name":"Terraform","optional":false},{"name":"FinOps","optional":true},{"name":"ITIL","optional":true}],"status":"live","first_seen_at":"2026-10-14T17:55:45Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T22:22:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nWe are seeking an experienced Lead AI & Automation Engineer to lead and actively contribute to a cross-functional Automation & AI engineering team supporting:\nData Center and Compute\nNetwork Infrastructure\nCyber Security and Security Operations\nEnd User Services, Workplace, Citrix and Service Desk The role combines technical leadership, solution architecture and hands-on engineering. The successful candidate will establish common engineering standards, manage the automation backlog, guide technical decisions and ensure that automation and AI solutions are delivered securely, reliably and with measurable business value. The team’s scope includes infrastructure automation, AI-assisted operations, self-service, observability, intelligent remediation, workflow orchestration and integration across Microsoft technologies, Red Hat Ansible Automation Platform, ServiceNow and domain-specific platforms. The Data Center engineer role covers Compute, Storage, Backup, Azure Local, Hybrid Cloud, Infrastructure-as-Code, observability and automated operational workflows. The Network engineer role covers Aruba, Palo Alto, AIOps, network Infrastructure-as-Code, monitoring, configuration compliance and self-healing operations. The Security engineer role covers Microsoft security technologies, ServiceNow Security Operations, Red Hat Ansible, incident response, vulnerability management and compliance automation. The End User Services engineer role covers Microsoft workplace platforms, Citrix, Intune, Entra ID, Copilot Studio, ServiceNow and employee self-service\nKey Responsibilities\nRole Purpose The Lead AI & Automation Engineer will turn automation opportunities into governed, reusable and production-ready solutions. The role will:\nProvide technical direction to the Automation & AI engineering team.\nMaintain a common backlog and delivery approach across technology domains.\nPersonally design, build, test and deploy complex automations.\nEstablish reusable patterns for integrations, approvals, logging, security, monitoring and exception handling.\nEnsure that solutions are properly owned, documented, maintained and measured after deployment.\nConnect operational requirements with architecture, security, service management and business objectives.\nDevelop the engineers’ technical capability through coaching, pairing and design reviews.\nDemonstrate realised value through improved quality, reduced manual effort, faster delivery and lower operational risk. ________________________________________ Key Responsibilities 1. Technical Leadership\nProvide day-to-day technical leadership for AI and automation engineers.\nSet a clear technical direction across Data Center, Network, Security and End User Services.\nTranslate strategic objectives into an actionable engineering roadmap.\nAllocate work based on priority, technical complexity, dependencies and available engineering skills.\nFacilitate architecture reviews, design reviews, code reviews and technical workshops.\nCoach engineers in automation design, secure development, testing and production support.\nPromote collaboration and reuse between infrastructure domains.\nIdentify technical blockers and coordinate their resolution.\nMaintain a balance between quick wins, foundational platform work and strategic automation.\nSupport recruitment, onboarding and technical development of team members.\nCreate an environment where engineers can experiment safely and convert successful prototypes into supported production services. 2. Hands-On Engineering Contribution The role is expected to remain technically active and contribute directly to delivery. Responsibilities include:\nDesign and build complex automation and AI solutions.\nDevelop production-quality code, scripts, workflows, playbooks and integrations.\nCreate reusable libraries, templates, modules and reference implementations.\nLead technically complex or cross-domain automation initiatives.\nTroubleshoot failed workflows, integration issues and production incidents.\nBuild proofs of concept for new automation and AI capabilities.\nConvert successful proofs of concept into secure and supportable production solutions.\nSupport engineers through pair programming and hands-on problem solving.\nContribute to release planning, testing, deployment and operational handover.\nMaintain expertise in the team’s core platforms and engineering practices. The team’s engineering base includes PowerShell, Python, Ansible, Terraform, REST APIs, Git and CI/CD methods across the various domain roles. 3. Automation Architecture and Standards\nDefine the target architecture for enterprise AI and automation services.\nEstablish common patterns for: o Authentication and authorisation o Secrets and certificate handling o API integrations o Workflow approvals o Human-in-the-loop controls o Error handling and retries o Logging and telemetry o Monitoring and alerting o Rollback and recovery o Audit trails o Source control o Testing and release management\nDefine when to use Power Automate, Copilot Studio, Azure Automation, Red Hat Ansible, ServiceNow workflows, scripts or Infrastructure-as-Code.\nPrevent unnecessary duplication of automation capabilities.\nEnsure solutions are modular, reusable and supportable.\nMaintain architectural decision records and technical standards.\nReview exceptions to standards and document associated risks. 4. Automation Portfolio and Backlog Management\nEstablish and maintain a single, transparent automation backlog.\nCollect automation opportunities from engin\nSkill Requirements\nRequired Qualifications Education\nBachelor’s degree in Computer Science, Information Technology, Engineering or a related discipline, or equivalent professional experience. Experience\nSignificant experience in enterprise automation, AI engineering, infrastructure engineering, platform engineering or service automation.\nExperience leading engineers or providing technical leadership within a cross-functional team.\nDemonstrated hands-on experience delivering production automation solutions.\nExperience working across more than one infrastructure or IT service domain.\nExperience designing integrations between enterprise platforms.\nExperience establishing engineering standards and governance.\nExperience managing automation backlogs and technical roadmaps.\nExperience operating in complex, global enterprise environments.\nExperience explaining technical decisions, risks and value to senior stakeholders.\nExperience moving solutions from proof of concept into governed production operation. ________________________________________ Required Technical Competencies Strong practical knowledge in several of the following areas: Automation and Development\nPowerShell\nPython\nRed Hat Ansible Automation Platform\nTerraform\nREST APIs\nJSON\nYAML\nGit\nCI/CD pipelines\nInfrastructure-as-Code\nPolicy-as-Code\nTest automation Microsoft Technologies\nMicrosoft Copilot\nCopilot Studio\nPower Platform\nPower Automate\nAzure Automation\nAzure DevOps\nAzure OpenAI\nMicrosoft 365\nMicrosoft Entra ID\nMicrosoft Intune\nAzure Monitor Service Management\nServiceNow\nITSM workflows\nServiceNow Security Operations\nCMDB\nIncident management\nRequest fulfilment\nChange management\nKnowledge management\nVulnerability response AI Engineering\nAI agents\nGenerative AI\nRetrieval-augmented solutions\nPrompt and knowledge management\nAI integration patterns\nResponsible AI controls\nEvaluation and monitoring of AI output\nHuman-in-the-loop workflow design Operational Engineering\nMonitoring and observability\nEvent-driven automation\nSelf-healing workflows\nConfiguration management\nSecurity and compliance automation\nProduction support and incident management\nCapacity, availability and performance management ________________________________________ Leadership Competencies\nLeads through technical credibility and active contribution.\nCreates clarity across complex and cross-functional environments.\nMakes pragmatic decisions based on value, risk and maintainability.\nCoaches engineers without becoming a delivery bottleneck.\nEncourages experimentation within clear governance boundaries.\nCommunicates effectively with technical and non-technical stakeholders.\nBuilds trust across infrastructure, workplace, security and service management teams.\nChallenges manual and inefficient processes constructively.\nBalances speed of delivery with security, stability and supportability.\nMaintains focus on measurable outcomes rather than technology adoption alone.\nPromotes accountability, documentation and knowledge sharing.\nWorks effectively across global teams, cultures and time zones.\nOther Requirements\nPreferred Qualifications\nMicrosoft certification in Azure, Power Platform, Security, Microsoft 365 or AI.\nRed Hat certification in Ansible Automation.\nServiceNow Certified System Administrator, Application Developer or relevant implementation certification.\nExperience in enterprise architecture or solution architecture.\nExperience with FinOps and benefits realisation.\nExperience with AIOps, observability and event-driven automation.\nExperience in infrastructure, networking, security or digital workplace operations.\nITIL knowledge or certification.\nExperience with managed service providers and global delivery 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