Automation & AI Lead – UiPath + Azure AI

🎯 Key Responsibilities

Strategy & Leadership

• Define and own the enterprise automation and AI strategy, balancing UiPath for RPA and Azure-native AI for intelligent solutions.
• Lead end-to-end delivery — discovery, architecture, build, evaluation, deployment, and hyper care.
• Establish CoE governance: intake, prioritization, reusable accelerators, LLMOps, and ROI tracking.
• Build, mentor, and scale a high-performing automation/AI team across geographies.

Automation Delivery

• Architect and deliver enterprise RPA solutions using UiPath, Power platform.
• Design attended, unattended, and hybrid bots with robust exception handling, reusable frameworks, and audit controls.
• Manage Orchestrator infrastructure (queues, assets, credentials, tenants) and CI/CD for bots.
• Drive adoption of Automations.

AI / LLM Solutioning (Strong Knowledge Required)

• Design and deliver GenAI/LLM-based solutions for document extraction, classification, summarization, decisioning, and conversational interfaces.

Responsibilities

• Apply prompt engineering best practices, evaluate model performance, and handle edge cases (e.g., structured data extraction, address matching, exception handling).
• Build RAG (Retrieval-Augmented Generation) pipelines using vector databases (Azure AI Search, Pinecone, etc.).
• Integrate AI agents into RPA workflows to enable agentic automation and human-in-the-loop scenarios.
• Stay current with the evolving GenAI landscape — Azure OpenAI, Anthropic, open-source LLMs, MCP, and agent frameworks.

Azure & Cloud Engineering

• Architect cloud-native automation solutions leveraging Azure services: App Services, Functions, Logic Apps, Service Bus, Key Vault, Storage, API Management, and Azure DevOps.
• Deploy and manage Azure OpenAI workloads (GPT-4o, GPT-5 series, embeddings) with secure prompt engineering, RAG patterns, and content safety.
• Implement CI/CD pipelines for bots and AI components using Azure DevOps / GitHub Actions.
• Ensure cloud cost optimization, governance, and adherence to enterprise security standards.

SAP & Enterprise Integration (Mandatory)

• Lead automation and AI integrations with SAP S/4HANA (SD, MM, FI/CO, PP, WM/EWM) via BAPI/RFC, OData, IDoc, CPI, and Fiori.
• Integrate with Salesforce, Snowflake, ServiceNow, SharePoint, and third-party platforms.
• Architect solutions like intelligent order processing, master data automation, document understanding, and conversational copilots.

Governance & Communication

• Ensure audit-ready traceability — BRD → SDD → evaluation evidence → deployment artifacts.
• Partner with auditors on SOX/ITGC controls, AI risk assessments, and management attestations.
• Act as the single point of contact between IT, business teams, and SI/vendor partners across EMEA, APAC, and Americas.
• Communicate clearly through business-friendly emails, Teams updates, and executive readouts.

Required Qualifications – Automation & AI Lead

Qualifications

✅ Experience

• 10+ years in IT, with 5+ years leading automation/AI initiatives at enterprise scale.
• Proven end-to-end delivery ownership - discovery through hypercare for multiple enterprise programs.
• Experience establishing/scaling an Automation or AI CoE (intake, governance, accelerators, ROI tracking).
• Track record of building and mentoring cross-geography teams.
• Mandatory hands-on UiPath delivery — at least one enterprise-scale program with Orchestrator administration and Document Understanding / AI Center.
• Mandatory hands-on Azure AI delivery — production GenAI/LLM solutions using Azure OpenAI, AI Foundry, AI Search, and Document Intelligence.
• Mandatory SAP integration experience, including at least one S/4HANA program.
• Experience in audit/compliance-driven environments (SOX, ITGC, or equivalent).

🛠️ Technical Skills

• UiPath: Studio, Orchestrator, REFramework, Document Understanding, AI Center, Action Center.
• Power Platform: Power Automate (cloud + desktop), Power Apps, Copilot Studio.
• Strong in attended, unattended, and hybrid bot design, exception handling, and CI/CD for bots.
• Solid grounding in GenAI fundamentals: embeddings, tokenization, fine-tuning vs RAG, evaluation.
• Advanced prompt engineering: structured outputs, function/tool calling, guardrails, edge-case handling.
• Hands-on RAG pipelines with vector stores (Azure AI Search, Pinecone) — chunking, hybrid search, re-ranking.
• Experience with agentic frameworks: Semantic Kernel, LangChain, AutoGen, Azure AI Agent Service, MCP.
• Azure AI: Azure OpenAI (GPT-4o, GPT-5, embeddings), AI Foundry, AI Search, Document Intelligence, Content Safety.
• DevOps & LLMOps: Azure DevOps, GitHub Actions, CI/CD, prompt versioning, observability, cost optimization.

🤝 Soft Skills

• Exceptional communication — translates AI/automation concepts for executive and business audiences.
• Strong stakeholder management across IT, business, and SI/vendor partners (EMEA, APAC, Americas).
• Highly detail-oriented and analytical, with a bias for traceability and governance.
• Comfortable navigating ambiguity and driving adoption of industry best practices.

About UsAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
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We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.