UiPath Agentic AI Technical Lead � Telecom Automation

UiPath Agentic AI Technical Lead – Telecom Automation
Remote
Exp: 4+ Years
Budget: 1 LPM+GST

Role Overview
We are seeking a highly experienced, self-driven UiPath Agentic AI Technical Lead to lead the design, implementation, and scaling of next-generation intelligent automation solutions within a complex brownfield environment. The successful candidate will combine deep expertise in the UiPath technology stack, Agentic AI,
Generative AI, enterprise integrations, cloud platforms, and telecom business processes. This is a hands-on technical leadership role requiring the ability to assess existing platforms, identify constraints and dependencies, define a pragmatic target architecture, and deliver enterprise-grade
automation solutions without disrupting critical business operations. The role will lead the development of AI agents, autonomous workflows, intelligent process automation, and human-in-the-loop solutions across telecom domains including Customer Operations, Billing, Order Management, Service Fulfilment, Service Assurance, Network Operations, CRM, and Enterprise Support Systems. The initial engagement is expected to focus on technical leadership and delivery within the existing
programme. Demonstrated technical capability, ownership, and leadership may result in an expanded scope and potential transition into a larger fixed-price delivery opportunity.

Key Responsibilities
Agentic AI Architecture and Technical Leadership
Lead the architecture, design, development, and implementation of UiPath Agentic Automation solutions.
Design intelligent automation solutions combining AI agents, software robots, Generative AI models, enterprise systems, and human-in-the-loop workflows.
Define the overall Agentic AI architecture, including agent orchestration, memory, context management, tool usage, escalation, and exception-handling patterns.
Establish architecture principles, reusable design patterns, engineering standards, and delivery guidelines for enterprise AI agents.
Define appropriate guardrails, governance, security, observability, and operational models for autonomous and semi-autonomous workflows.
Provide hands-on technical leadership throughout solution design, development, testing, deployment, and production support.
Mentor engineers and ensure that solutions meet enterprise architecture, security, performance, and maintainability standards.

Brownfield Programme Delivery
Assess existing automation platforms, applications, workflows, integrations, and operational dependencies.
Design solutions that integrate with and enhance existing systems while minimising disruption to business-critical processes.
Identify legacy constraints, technical debt, integration risks, and opportunities for progressive modernisation.
Develop pragmatic migration and implementation approaches suitable for complex brownfield environments.
Work independently with limited supervision and take ownership of technical decisions and delivery outcomes.
Troubleshoot complex issues across existing automations, enterprise systems, APIs, AI services, and infrastructure.
Balance immediate programme priorities with longer-term architectural and operational objectives.

UiPath Automation Engineering
Design and implement enterprise-grade solutions using the UiPath technology stack.
Develop and govern attended, unattended, and hybrid automation workflows.
Design workflows that combine deterministic automation with AI-driven decision-making.
Implement exception handling, retry mechanisms, queues, logging, monitoring, and operational controls.
Develop reusable components, libraries, templates, and automation frameworks.
Support automation deployments across development, testing, staging, and production environments.
Ensure automation solutions are scalable, supportable, secure, and aligned with UiPath best practices.
Review solution designs and code to maintain engineering quality and consistency.

AI and Generative AI Integration
Lead the integration of UiPath solutions with enterprise AI platforms, Large Language Models, and Generative AI services.
Design AI-assisted automation solutions for decision support, knowledge retrieval, process optimisation, and autonomous operations.
Develop and optimise prompts, agent instructions, tools, and contextual grounding strategies.
Design Retrieval-Augmented Generation solutions using enterprise knowledge sources.
Implement AI guardrails to manage accuracy, privacy, security, hallucination risks, and inappropriate responses.
Establish evaluation frameworks for measuring AI quality, reliability, relevance, latency, and business impact.
Implement human review, approval, and escalation mechanisms for high-risk or sensitive decisions.
Establish monitoring and observability for AI-agent behaviour, model interactions, automation outcomes, and operational performance.

Enterprise and Telecom Integration
Design and govern integrations between UiPath and telecom OSS/BSS platforms.
Develop API-driven and event-driven automation solutions.
Integrate UiPath with CRM, billing, order management, service management, network, customer care, and enterprise support systems.
Define secure and reusable integration patterns for REST APIs, SOAP services, databases, messaging platforms, and file-based interfaces.
Collaborate with architecture, integration, security, data, infrastructure, and application teams.
Ensure integrations meet enterprise requirements for scalability, reliability, security, traceability, and performance.
Troubleshoot complex issues across UiPath, enterprise applications, AI platforms, and telecom systems.

Telecom Process Automation
Identify, design, and deliver automation and AI opportunities across telecom business areas, including:
Customer care and contact centre operations
Customer onboarding and account management
Billing, payments, adjustments, and revenue assurance
Order capture and order management
Service fulfilment and service activation
Service assurance and incident management
Network operations and network support
CRM and customer service workflows
Enterprise support and back-office processes
Case management and complaint handling
Data validation, reconciliation, and reporting
The scope may extend beyond these areas based on programme priorities and identified transformation opportunities.

Business and Stakeholder Engagement
Provide technical and domain consulting to business stakeholders.
Work with telecom subject-matter experts to understand operational challenges and identify automation-led transformation opportunities.
Translate complex business processes into scalable automation and Agentic AI solutions.
Facilitate discovery workshops, technical design sessions, architecture reviews, and solution walkthroughs.
Clearly communicate technical concepts, risks, assumptions, dependencies, and recommendations.
Support business case development by estimating implementation effort, complexity, benefits, and operational impact.
Build stakeholder confidence through strong ownership, leadership, and consistent delivery.

Governance and Operational Readiness
Define governance standards for Agentic AI, Generative AI, and enterprise automation.
Establish controls for identity, access, data privacy, security, auditability, and regulatory compliance.
Define operational support models for AI agents and automation solutions.
Implement dashboards and monitoring for automation performance, agent outcomes, exceptions, and business metrics.
Produce architecture documents, detailed technical designs, integration specifications, support documentation, and operational runbooks.
Support solution testing, User Acceptance Testing, production deployment, hypercare, and transition into Business-as-Usual support.
Ensure appropriate knowledge transfer to engineering and operational support teams.

Required Skills and Experience
UiPath Technology Stack
Extensive hands-on experience designing and delivering enterprise automation solutions using UiPath.
Strong knowledge of UiPath Studio, Orchestrator, Robots, queues, assets, triggers, and reusable libraries.
Experience with UiPath Agentic Automation and AI-enabled workflow capabilities.
Experience designing attended, unattended, and human-in-the-loop automation solutions.
Strong understanding of automation architecture, governance, deployment, monitoring, and support.
Experience developing reusable frameworks, components, and enterprise automation standards.
Ability to review, troubleshoot, optimise, and govern existing UiPath solutions.
Agentic AI and Generative AI
Strong understanding of Agentic AI architecture and autonomous workflow design.
Experience designing AI agents that use tools, enterprise applications, APIs, knowledge sources, and automated workflows.
Experience integrating enterprise LLMs and Generative AI platforms.
Strong knowledge of prompt engineering, contextual grounding, and conversational design.
Experience designing and implementing Retrieval-Augmented Generation solutions.
Understanding of agent orchestration, memory, planning, reasoning, tool selection, and escalation patterns.
Experience implementing responsible AI controls, guardrails, monitoring, and governance.
Knowledge of AI evaluation, observability, model performance, and hallucination-risk management.

Integration Technologies
Strong experience designing API-led enterprise integration solutions.
Hands-on experience with REST APIs, SOAP services, JSON, XML, authentication, and secure integration patterns.
Experience integrating automation platforms with enterprise applications, databases, messaging systems, and cloud services.

Understanding of synchronous, asynchronous, event-driven, and queue-based integration patterns.
Experience handling complex integration failures, retries, reconciliation, and exception management.
Ability to work effectively with enterprise integration and middleware teams.
Telecom Domain Expertise
Strong experience within the telecommunications industry.
Demonstrated understanding of telecom Business Support Systems and related operational processes.
Experience with one or more of the following areas:
Customer care
CRM
Billing
Order management
Service fulfilment
Service assurance
Revenue assurance
Product and customer management
Enterprise support operations
Understanding of interactions and dependencies between telecom BSS and OSS platforms.
Ability to work with telecom subject-matter experts and translate complex domain requirements into technical solutions.
Cloud Platforms
Experience deploying and integrating automation and AI solutions on public cloud platforms.
Knowledge of cloud-native services, serverless technologies, API management, security, monitoring, and observability.
Experience with one or more major cloud platforms, such as Microsoft Azure, Amazon Web Services, or Google Cloud.
Understanding of cloud identity, networking, secrets management, logging, and security controls.
Experience integrating enterprise AI or LLM services hosted within cloud environments.

Technical Leadership
Demonstrated experience leading architecture and technical delivery for complex enterprise programmes.
Strong ability to operate independently and drive outcomes in ambiguous or fast-moving environments.
Proven experience working within brownfield transformation programmes.
Strong analytical, troubleshooting, and solution-design capabilities.
Ability to lead engineers, review technical deliverables, and establish engineering standards.
Excellent stakeholder-management and communication skills.
Ability to influence architecture, delivery, governance, and operational stakeholders.
Strong documentation skills across architecture, detailed design, integration, and support materials.


Preferred Skills and Qualifications
UiPath professional certifications, such as UiPath Certified Professional Automation Developer or Solution Architect.
Relevant certifications in cloud architecture, AI, integration, or enterprise automation.
Experience with UiPath AI Center, Document Understanding, Communications Mining, Apps, Action Center, or Integration Service.
Experience implementing enterprise knowledge assistants or AI-powered employee-support solutions.
Experience delivering automation within large-scale telecom or regulated enterprise environments.
Experience transitioning proof-of-concept AI solutions into secure and supportable production services.
Experience defining automation centres of excellence, engineering standards, or governance frameworks.
Familiarity with DevOps, CI/CD, source control, automated testing, and Infrastructure as Code.

Ideal Candidate Profile
The ideal candidate will be a highly self-driven and hands-on technical leader who can quickly understand a complex brownfield environment and take ownership of solution architecture and delivery.
They will combine deep UiPath expertise with a strong understanding of Agentic AI, Generative AI, enterprise integrations, cloud services, and telecom BSS processes.
The candidate should be comfortable moving between architecture, engineering, stakeholder engagement, troubleshooting, governance, and delivery leadership. They must be able to operate effectively with limited direction, establish credibility with senior stakeholders, guide engineering teams, and demonstrate
measurable delivery outcomes.
Strong technical capability, leadership, and successful delivery may create opportunities for the individual or delivery partner to take ownership of an expanded scope under a fixed-price engagement.