{"id":3091376,"url":"https://alion.io/job/tata-consultancy-services-infra-cloud-gen-ai-architect","title":"Infra Cloud Gen AI Architect","company":{"id":222,"name":"Tata Consultancy Services","domain":"tcs.com","url":"https://alion.io/company/tata-consultancy-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":100,"open_postings":200,"ghost_share":0.01,"stale_share":0,"repost_share":0.025,"time_to_fill_p50_days":3,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Calgary, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":161000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"GitLab","optional":false},{"name":"Kubernetes","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"VPN","optional":false},{"name":"Windows","optional":false},{"name":"Active Directory","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure Cosmos DB","optional":true},{"name":"Azure SQL Database","optional":true},{"name":"Delta Lake","optional":true},{"name":"FastAPI","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Hugging Face","optional":true},{"name":"IAM","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"LLM","optional":true},{"name":"Node JS","optional":true},{"name":"PyTorch","optional":true},{"name":"Spark","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-22T14:51:38Z","employer_posted_date":"2026-10-25","last_verified_at":"2026-10-29T09:27:01Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Role: Lead. Skills: Artificial Intelligence, Cloud Architecture, Infrastructure Security. Experience: 5 - 18 Years\nInclusion without Exception\nTata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.\nTCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.\nRooted in the heritage and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.\nTCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.\nJob Description :-\nMust-Have\nHave Senior plus years of experience in design and implementation of Cloud technologies primarily Microsoft Azure and AWS\nWorking Knowledge/experience in implementing the Cloud Foundation services such as VNET, VNET Peering, VPN setup, Express Route\nExperience in carrying out the MAP tool assessments and Site Recovery deployment planner tool\nWorking knowledge/experience in designing and implementing Azure AD and user migrations from On Premise\nWorking knowledge/experience in deployment of Open VPN, WAF, API gateway etc.\nWorking knowledge/experience in setting up AD, DNS, Backup Configurations, Monitoring Solutions, Patching\nHands on experience in Automation scripts such as Windows PowerShell/Bash, Python Scripting etc. Embed Gen AI capabilities into web, mobile, and edge applications\nMigrating the On Premise Workloads to Cloud using Cloud Native toolsets such as ASR (Azure Site Recovery), Azure Migrate, and AWS Migration Hub, etc.\nTheoretical/working knowledge in CI/CD concepts and tools such as Azure DevOps / GitLab\nKnowledge in ARM templates, and familiar with containers such as Open shift, Kubernetes, Docker etc.\nExpert level knowledge in Cloud Foundation design and Disaster Recovery scenarios\nPreparing Complex Cloud Designs and good problem solving skills including develop and deploy Infrastructure as Code (IaC) using Azure Bicep or Terraform\nMaintain Good Customer Rapport and should be to leading the Implementation and Migration Projects on Large Scale\nGood communication, analytical, presentation and documentation skills\nGood-to-Have\nExperience with IT Service Management Tools (preferably Remedy, Service Now)\nWorking Knowledge of Core Serv ices such as AD, DNS, Monitoring, Backup, Patching and Security tools\nMust to have Azure Administrator Associate and anyone of the Architect certifications - Microsoft Azure 70-534 or 70-535\nMust to have Azure Solutions Architect Expert certification, Azure DevOps Engineer Expert certification, AWS Certified Solutions Architect certification\nHandling Multi Cloud platform is an advantage\nGood Understanding and Working knowledge on DC migration, P2V and V2V migrations\nTechnical Skills\nAzure Fundamentals:\nComprehensive understanding of Azure services, solutions, and management tools.\nFamiliarity with Azure architecture, including regions, availability zones, and resource groups.\nInfrastructure Management:\nProficiency in creating and managing virtual machines, networks, and storage solutions.\nExperience with Azure Virtual Network, VPN Gateway, and ExpressRoute.\nCI/CD and DevOps:\nKnowledge of continuous integration and continuous deployment (CI/CD) practices.\nExperience with Azure DevOps, GitHub Actions, and other CI/CD tools.\nAutomating deployment processes using pipelines and infrastructure as code (IaC) with ARM templates, Terraform, or Bicep.\nIdentity and Access Management (IAM):\nManaging identities and access with Azure Active Directory (Azure AD).\nImplementing role-based access control (RBAC) and managing security policies.\nDatabase Management:\nExpertise in Azure SQL Database, Azure Cosmos DB, and other database services.\nSkills in database design, optimization, and maintenance.\nSecurity and Compliance:\nImplementing security best practices and maintaining compliance with industry standards.\nExperience with Azure Security Center, Azure Policy, and Azure Sentinel.\nMonitoring and Optimization:\nUsing Azure Monitor, Log Analytics, and Application Insights for performance monitoring and optimization.\nTroubleshooting and resolving issues to ensure high availability and reliability.\nAI Automation:\nBuilding and shipping GenAI or LLM-driven products.\nAdvanced Python (FastAPI, PyTorch, Hugging Face); plus proficiency in TypeScript/Node.js, Go, or Java.\nProduction experience on AWS or Azure with GPU workloads (SageMaker, Bedrock, Azure ML).\nStrong grasp of algorithms, distributed systems, and data engineering (Spark, Kafka, Delta Lake).\nCommitment to responsible AI, data governance, and cybersecurity best practices for critical infrastructure.\nSoft Skills\nProblem-Solving:\nAnalytical thinking and the ability to troubleshoot complex issues.\nCreativity in designing innovative solutions.\nCommunication:\nEffective communication with technical and non-technical stakeholders.\nAbility to document and present architectural designs and solutions clearly.\nContinuous Learning:\nStaying updated with the latest Azure features, best practices, and industry trends.\nPursuing relevant certifications and training programs\nThank you for your interest in TCS. Candidates t hat meet the qualifications for this position will be contacted within a 2-week period. 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