Senior Intelligent Automation Engineer

NLB Services Canada
Remote
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AI Summary

The Senior Intelligent Automation Engineer will lead the design, development, and deployment of end-to-end UiPath and Microsoft Power Automate solutions. The role requires collaboration with business stakeholders to identify automation opportunities and develop intelligent automation frameworks. The ideal candidate will have 7+ years of hands-on experience in UiPath development and experience in multi-agent automation modeling.

Key Highlights
Lead the design, development, and deployment of end-to-end UiPath and Microsoft Power Automate solutions
Develop and maintain intelligent automation frameworks, including multi-agent models and orchestrated bot ecosystems
Collaborate with business stakeholders to understand current processes and identify automation opportunities
Key Responsibilities
Lead the design, development, and deployment of end-to-end UiPath and Microsoft Power Automate solutions across insurance operations
Develop and maintain intelligent automation frameworks, including multi-agent models and orchestrated bot ecosystems
Build Agentic AI workflows capable of autonomous decision-making in underwriting, claims adjudication, and policy processing
Technical Skills Required
UiPath Studio UiPath Orchestrator UiPath AI Center Document Understanding API integrations Power Platform Microsoft Power Automate OpenAI Azure OpenAI Guidewire Duck Creek Majesco
Benefits & Perks
100% Remote work
Nice to Have
Experience with insurance data standards (ACORD)
Knowledge of predictive analytics and actuarial data integration
Exposure to Azure/AWS cloud environments
Experience in process mining for insurance operations
DevOps and CI/CD for RPA lifecycle management

Job Description


Role: Intelligent Automation Engineer

Type: 8+ Months

Location: 100% Remote, Canada


POSITION GENERAL DUTIES AND TASKS -

Key Responsibilities:

• Lead the Design, develop, and deploy end-to-end UiPath and Microsoft Power Automate solutions across insurance operations.

• Develop and maintain intelligent automation frameworks, including multi-agent models and orchestrated bot ecosystems.

• Build Agentic AI workflows capable of autonomous decision-making in underwriting, claims adjudication, and policy processing.

• Collaborate with business stakeholders to understand current processes, identify automation opportunities, and perform feasibility assessments.

• Gather, analyze, and document business and functional requirements for automation initiatives.

• Translate business requirements into technical solution designs and implementation plans.

• Ensure automation solutions are scalable, secure, and aligned with organizational standards and best practices.

• Integrate LLMs (OpenAI/Azure OpenAI) into RPA solutions for:

o Claims document summarization

o Policy document interpretation

o Risk assessment support

o Customer communication automation

• Implement Intelligent Document Processing (IDP) for FNOL, claims forms, medical reports, KYC, policy applications, and invoices.

• Develop automation for core insurance systems (eg., Guidewire, Duck Creek, Majesco, etc.) is a plus.

• Ensure compliance with insurance regulations (e.g., HIPAA, GDPR, NAIC, IRDAI, FCA depending on geography).

• Build scalable REFramework-based bots with strong exception handling and audit trails.

• Provide technical leadership and mentoring to junior developers or automation team members.


Required Qualifications:

• 7+ years of hands-on experience in UiPath development.

• Experience in multi-agent automation modeling, orchestration, and maintenance.

• Experience working in enterprise automation programs or Centers of Excellence (CoE).

• Knowledge of intelligent document processing, AI/ML integrations, or attended/unattended automation models.

• Strong expertise in:

o UiPath Studio, Orchestrator, AI Center

o Document Understanding

o API integrations

o Power Platform

• Proven experience in Insurance domain processes (Claims, Underwriting, Policy Admin).

• Experience integrating Generative AI / LLMs into enterprise workflows.

• Knowledge on integrating the Machine Learning is a plus

• Knowledge of insurance core platforms (Guidewire, Duck Creek, etc.).

• Strong understanding of secure data handling in regulated environments.

• UiPath Advanced Developer Certification (preferred).

• Microsoft Certifications (on Power Platform or AI) are preferred.


Agentic Capabilities:

• Ability to combine RPA + AI for semi-autonomous and fully autonomous insurance workflows.


Nice to have:

• Experience with insurance data standards (ACORD).

• Knowledge of predictive analytics and actuarial data integration.

• Exposure to Azure/AWS cloud environments.

• Experience in process mining for insurance operations.

• DevOps and CI/CD for RPA lifecycle management.


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