Intelligent Automation Engineer
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking an Intelligent Automation Engineer to join our team in Remote, México (MX-MEX), Mexico (MX).
Key Responsibilities:
- Design, develop, and deploy end-to-end UiPath automation solutions across insurance operations.
- Build Agentic AI workflows capable of autonomous decision-making in underwriting, claims adjudication, and policy processing.
- Integrate LLMs (OpenAI/Azure OpenAI) into RPA solutions for:
- Claims document summarization
- Policy document interpretation
- Risk assessment support
- 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.).
- Ensure compliance with insurance regulations (e.g., HIPAA, GDPR, NAIC, IRDAI, FCA depending on geography).
- Build scalable RE Framework-based bots with strong exception handling and audit trails.
- Lead architecture discussions and mentor junior developers.
- Collaborate with underwriting, claims, actuarial, and compliance teams.
Required Qualifications:
- 7+ years of hands-on experience in UiPath development.
- Strong expertise in:
- UiPath Studio, Orchestrator, AI Center
- Document Understanding
- RE Framework
- API integrations
- Proven experience in Insurance domain processes (Claims, Underwriting, Policy Admin).
- Experience integrating Generative AI / LLMs into enterprise workflows.
- Knowledge of insurance core platforms (Guidewire, Duck Creek, etc.).
- Proficiency in C# /.NET.
- Strong understanding of secure data handling in regulated environments.
- UiPath Advanced Developer Certification (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