Manager - Business Support - Agentic AI

Job Title:Manager-Agentic AI,Automation support

Job Location:Chennai

The is responsible for configuring, deploying, operating, and continuously improving autonomous, goal‑driven automation solutions built using UiPath and Agentic AI capabilities, based on priorities defined by BUIT.The role focuses on low‑code / no‑code configuration of agentic systems-AI agents that can reason, plan, act, and collaborate across workflows-while ensuring solutions are robust, observable, cost‑efficient, secure, and ethically compliant in production.This role forms a critical execution layer between business processes, autonomous AI agents, and the UiPath automation ecosystem.

Key Responsibilities:

1. Agentic AI & UiPath Configuration and Deployment

• Configure and deploy Agentic AI‑enabled automations using UiPath Studio (Desktop/Web), Robots, Orchestrator, and ActionCenter.

• Implement autonomous agents capable of:

• Goal decomposition

• Task planning and execution

• Decision‑making with feedback loops

• Coordinating across systems and workflows

• Combine Agentic AI patterns withREFrameworkto build scalable, resilient automation pipelines.

• Configure agentbehaviors, tools, constraints, memory, and termination conditions within UiPath workflows.

• Enable human‑in‑the‑loop interactions using ActionCenterfor exceptions, approvals, and agent intervention.

1. Data Preparation, Knowledge Grounding & Learning Support

• Prepare, annotate, and validate structured and unstructured datasets used by agentic workflows.

• Configure enterprise knowledge sources (documents, systems, APIs) used by agents for reasoning and decision context.

• Prepare synthetic data when real data is unavailable or restricted.

• Support learning loops by capturing agent outcomes, feedback signals, and execution results for optimization.

1. Agent Reasoning, Orchestration & Tool Use

• Configure multi‑step agent reasoning flows, including:

• Task sequencing and branching

• Tool selection and execution

• Exception recovery strategies

• Enable agents to invoke:

• UiPath automations

• APIs and Integration Service connectors

• External enterprise systems

• Support multi‑agent coordination, where agents collaborate or hand off tasks across workflows.

1. Testing, Validation & Responsible Autonomou s AI

• Test autonomousbehaviorsfor correctness, stability, and predictability.

• Validate agent decisions against business rules, compliance standards, and ethical constraints.

• Prepare audit trails, execution logs, decision histories, and exception reports.

• Assess agentbehaviorfor:

• Bias and unintended actions

• Explainability and traceability

• Safe failure and containment mechanisms

• Ensure compliance with Responsible AI, data privacy, and internal governance standards.

1. Production Support, Monitoring & Continuous Improvement

• Monitor deployed agentic automations using UiPath Orchestrator analytics and logs.

• Track:

• Task success rates

• Exception frequency

• Latency and throughput

• Cost and resource usage

• Troubleshoot failed or unstable agentbehaviorsand implement corrective actions.

• Continuously refine agent logic, rules, and orchestration based on production feedback.

1. Platform Operations & Lifecycle Management

• Manage lifecycle of agentic automations, including:

• Versioning and controlled releases

• Rollbacks and upgrades

• Dependency and registry management

• Support UiPath platform upgrades while ensuring backward compatibility of agentic workflows.

• Use Git or UiPath source control to manage configurations and automation assets.

1. Integration & Technical Enablement

• Configure agent access to enterprise systems using:

• UiPath Integration Service

• REST/SOAP APIs

• Extend UiPath capabilities using VB.NET or C# for advanced decision logic.

• Use Python to support AI logic, simulation, decision models, or external reasoning components.

• Enable secure data exchange between agents, automations, and enterprise platforms.

RequiredQualification &Skills:

• Bachelor's orMaster's in Computer Science, Engineering, Data Science, or related field.

• Minimum 3 years of relevant experience in theAgenticAI& UiPathdomain

• Proficiency in VB.NET or C# for UiPath expressions and custom logic.

• Working experience with Python for AI or decision‑logic extensions.

• Strong understanding of API‑based system integration.

• Familiarity with data structures and structured/unstructured data processing.

• Hands‑on experience with UiPath Studio, Orchestrator, Robots, and ActionCenter.

• Strong proficiency inREFrameworkfor scalable enterprise automation.

• Experience integrating automations with business systems via connectors and APIs.

• Working knowledge of UiPath source control and deployment pipelines.

• Practical experience with Agentic AI concepts, including:

• Goal‑based agents

• Planning and reasoning loops

• Tool‑using agents

• Feedback‑driven execution

• Ability to configure decision‑making agents rather than simple rule‑based bots.< /li>

• Experience grounding agent decisions in enterprise data to prevent unsafe or incorrectbehavior.

• Understanding of autonomy boundaries, guardrails, and intervention mechanisms.

• Experience troubleshooting production automations using Orchestrator logs and metrics.

• Understanding of autonomous system risks and mitigation strategies.

• Ability to manage operational SLAs andhypercarefor intelligent automation.

• Experience with version control and controlled release management.

• Exposure to AI governance, Responsible AI, and autonomous system ethics.

• Experience working under BUIT or enterprise automationCoEmodels.

• Familiarity with cloud platforms (Azure preferred).

• Strong documentation skills for agentbehavior, constraints, and escalation paths.

• Comfortable working with evolving AI capabilities and partial ambiguity.