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# AI / Agentic AI Solution Architect

- **Company:** Tata Consultancy Services Limited
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Microsoft Azure, Continuous Integration, Software Design Patterns, Middleware, Information Extraction, Python (Programming Language), Performance Tuning, Role-Based Access Control, Reference Data, Regression Testing, OpenAI, Runbook, SAP (Applications), Enterprise Data Management, Explainable AI (XAI), Microsoft Power Automate, Large Language Models, Snowflake, IT Architecture, Agentic-AI, Enterprise Integration, Integration Frameworks, Drift Detection, Azure AI, Evaluation of Large Language Models, Intelligent Document Processing, Human in the Loop, Mulesoft
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/c12e42f4-f984-46a9-b329-9a523e1c0730

## About the Role

Experience Range: Suggested: 10+ years in enterprise technology; 5+ years in cloud/AI architecture; production GenAI experience

Must Have Technical/Functional Skills

 * Enterprise AI solution architecture on Azure, including Azure AI Foundry / Azure OpenAI, Azure AI Document Intelligence, secure API integration, and production operations.

## Description

* Hands-on agentic AI and intelligent document processing: orchestration, OCR/layout extraction, cross-document checks, field-level evidence, and human-in-the-loop review.

 * LLM quality engineering: golden datasets, field-level evaluation, prompt/model versioning, confidence calibration, regression testing, release gates, and monitoring.

 * Externalized deterministic business rules, governed configuration, audit trail, approval, rollback, and appropriate use of AI ONLY for judgment-based tasks.

 * Integration design for Power Automate, APIs, Snowflake reference data, enterprise data stores, middleware, and downstream EDM/MDM and SAP item-setup processes.

 * Security, RBAC, Responsible AI, observability, CI/CD, cost and performance optimization; Python-based implementation experience.

Roles & Responsibilities

 * Lead target architecture for Projects and reusable design patterns for subsequent item-setup workstreams.

 * Review the existing solution and recommend evidence-based stabilization and enhancements to document extraction, validation, business rules, and exception handling.

 * Architect the end-to-end flow: supplier email/forms -> extraction -> validation/enrichment -> rules -> confidence and exception routing -> Product Manager approval -> governed downstream handoff.

 * Define traceability for every proposed attribute: source evidence, applied rule, transformation rationale, confidence, reviewer action, and approved value.

 * Separate deterministic rules from prompts; design business-configurable rules with controlled changes, regression tests, approvals, audit history, and rollback.

 * Establish golden datasets, evaluation metrics, regression suites, release thresholds, drift monitoring, and feedback loops for prompts, rules, and models.

 * Design secure integration with existing Azure, Power Platform, reference data, API/middleware, and EDM/MDM/SAP processes; validate interface dependencies before committing to writeback.

 * Collaborate with Product Managers, enterprise architecture, security, integration, QA, and support teams; produce architecture decisions, diagrams, NFRs, runbooks, and knowledge transfer.

Generic Managerial Skills, If any

 * Lead cross-functional architecture discussions and communicate design trade-offs to technical and business stakeholders.

 * Mentor engineers; manage dependencies, risks, quality gates, and stakeholder decisions.

 * Translate AI capabilities into measurable accuracy, cycle-time, adoption, supportability, and cost outcomes., AI Architect; Agentic AI; GenAI; Azure AI Foundry; Azure OpenAI; Azure AI Document Intelligence; OCR; Intelligent Document Processing; LLM evaluation; golden dataset; human-in-the-loop; explainable AI; business rules engine; Power Automate; Power Platform; Python; APIs; Snowflake; MuleSoft; SAP; MDM; Responsible AI; CI/CD; observability.