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Tata Consultancy Services

Enterprise Architect, Agentic AI Implementation

Tata Consultancy Services, Minneapolis, Minnesota, United States, 55400

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Job Description

The Senior Technical Specialist 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.

Need to have true Agentic AI Experience

It’s good to have some past AI experience.

Need hands‑on experience delivering 1–2 Generative AI engagements – should have experience with Generative AI beyond simple RAG implementations.

Good to have Azure experience.

8+ 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, and experience working on 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.

Base Salary Range: $130,000 – $170,000 per annum

Employee Benefits Summary Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications BACHELOR OF COMPUTER SCIENCE

8+ 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, and experience working on 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.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Information Technology

Industries: IT Services and IT Consulting

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