Automation Engineer

We are seeking a seasoned Technical Automation Architect to lead the design and

implementation of enterprise-wide Business Process Automation (BPA) solutions. This role is

deeply technical, requiring hands-on expertise in automation platforms, system integration, and

architectural leadership to deliver intelligent, scalable, and future-ready automation frameworks.

The architect will collaborate closely with cross-functional teams to automate complex business

operations, improve process efficiency, and contribute to the enterprise’s digital transformation

roadmap.

Key Responsibilities:

● Design and architect robust automation solutions leveraging RPA, APIs, workflow

engines, and custom scripts.

● Translate business processes into automation use cases with scalable technical

solutions across diverse business functions.

● Lead automation design sessions, establish technical standards, and develop reusable

automation components.

● Oversee technical delivery and ensure best practices in coding, exception handling,

security, and deployment.

● Collaborate with infrastructure, data, and application teams to integrate automation

across platforms and systems.

● Evaluate and introduce emerging technologies including AI and Generative AI to

enhance automation use cases and optimize decision-making.

● Provide technical leadership and mentorship to development teams.

● Ensure automation implementations comply with enterprise governance, risk, and

security frameworks.

Required Skills & Experience:

● 13+ years of overall IT experience, with 6+ years specifically in automation

architecture and solution design.

● Deep hands-on experience with RPA platforms such as UiPath, Microsoft Power

Automate, or Automation Anywhere.

● Strong understanding of process orchestration, event-driven architecture, and

API-based integration.

● Proficient in scripting languages such as Python, PowerShell, or JavaScript.

● Experience designing and deploying enterprise-grade automation frameworks with

modular, reusable architecture.

● Solid knowledge of automation security, role-based access control, logging, monitoring,

and performance optimization.

Preferred/Desirable Experience:

● Exposure to or hands-on experience with AI/ML and Generative AI technologies

to enhance process intelligence, including use of LLMs, prompt engineering, or

integration with AI services (e.g., Azure OpenAI, AWS Bedrock).

● Prior experience in Healthcare (e.g., claims, eligibility, provider data, HIPAA

compliance) or Investment Management Systems (e.g., trade lifecycle,

reconciliation, compliance workflows)

● Understanding of data privacy and regulatory standards such as HIPAA, SEC,

FINRA, and GDPR.