Tata Consultancy Services
Overview
Enterprise Architect Agentic AI role at Tata Consultancy Services. The Enterprise Architect Agentic AI will lead the design, integration, testing, and deployment of Agentic AI applications. This role demands deep technical expertise across cloud infrastructure, APIs, data engineering, and enterprise connectivity with hands-on experience in troubleshooting, DevOps, and cross-platform integration. Responsibilities
Lead design, integration, testing, and deployment of Agentic AI applications. Work across cloud infrastructure, APIs, data engineering, and enterprise connectivity. Apply hands-on troubleshooting and DevOps practices; enable cross-platform integration. Qualifications
13+ years in enterprise software development and integration. Strong proficiency in Azure Data Services, Databricks, Snowflake. Hands-on experience building AI agents using MS AI Foundry and MS Copilot; experience with MS Azure cloud. ServiceNow APIs, SAP connectors; Mulesoft, RESTful APIs, OAuth2. SQL, Python, .NET, NodeJS. Experience with DevOps tools (Azure DevOps, Terraform, CI/CD pipelines). Proven track record in system integration testing and production deployment. Familiarity with container apps, VNET configurations, and cloud networking. Salary and Location
Salary range: $168,087 - $227,412 per year. New York, NY (locations and compensation vary by role). Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
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Enterprise Architect Agentic AI role at Tata Consultancy Services. The Enterprise Architect Agentic AI will lead the design, integration, testing, and deployment of Agentic AI applications. This role demands deep technical expertise across cloud infrastructure, APIs, data engineering, and enterprise connectivity with hands-on experience in troubleshooting, DevOps, and cross-platform integration. Responsibilities
Lead design, integration, testing, and deployment of Agentic AI applications. Work across cloud infrastructure, APIs, data engineering, and enterprise connectivity. Apply hands-on troubleshooting and DevOps practices; enable cross-platform integration. Qualifications
13+ years in enterprise software development and integration. Strong proficiency in Azure Data Services, Databricks, Snowflake. Hands-on experience building AI agents using MS AI Foundry and MS Copilot; experience with MS Azure cloud. ServiceNow APIs, SAP connectors; Mulesoft, RESTful APIs, OAuth2. SQL, Python, .NET, NodeJS. Experience with DevOps tools (Azure DevOps, Terraform, CI/CD pipelines). Proven track record in system integration testing and production deployment. Familiarity with container apps, VNET configurations, and cloud networking. Salary and Location
Salary range: $168,087 - $227,412 per year. New York, NY (locations and compensation vary by role). Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr