Lead AI & Process Automation Engineer - Concord, NC (Onsite)

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 month(s)
No Travel Required

Skills

Python
RPA
Financial
Generative AI
LLM
Process Automation
Skan.ai
chatbots

Job Details

Role Name: Lead AI & Process Automation Engineer
Location: Concord, NC (Onsite)

Duration:6-12 months

JOB DESCRIPTION:
"Lead Process Automation Engineer Financial Services Operations (Skan.ai & Generative AI Focus)

Summary:
Client is seeking a Lead Process Automation Engineer to drive AI-enabled process discovery and intelligent automation across high-volume financial-services operations (e.g., client servicing, payments, lending operations). You will deploy Skan.ai s vision-based process-intelligence platform, integrate Generative AI (GenAI) solutions, and deliver measurable cost reduction, efficiency gains, and superior employee / customer experience for client and its clients.

Key Responsibilities
Deploy & administer Skan.ai agents to capture end-to-end desktop journeys; generate granular process maps, metrics, and conformance dashboards.
Analyze Skan insights to pinpoint bottlenecks, rework, and automation opportunities; quantify value (cost, cycle time, error rate).
Build and maintain an automation roadmap (RPA, low-code workflow, GenAI assistants) aligned to Client Financial Services efficiency goals.
Design, develop, and oversee automation solutions hands-on with RPA tools (UiPath, Automation Anywhere, Blue Prism) and Python / low-code scripting.
Prototype and embed GenAI capabilities (e.g., chatbots, LLM-generated documentation, summarization) to elevate operations productivity.
Collaborate with Operations leaders, Technology partners, and Risk teams to ensure solutions meet security, compliance, and change-management requirements.
Track KPI improvements post-implementation; prepare benefit-realization reports and drive continuous optimization.
Act as a technical mentor and evangelist, promoting best practices in process intelligence and automation across client Financial Services.

Required Qualifications
10+ years in process improvement / automation engineering with large-scale transformation ownership.
Expert in process discovery / mining preferably Skan.ai (or Celonis, FortressIQ).
Proven delivery of RPA / workflow automations in production; strong Python or scripting proficiency.
Solid grounding in AI/ML concepts and hands-on experience applying Generative AI / LLMs in enterprise use cases.
Working knowledge of financial-services operations (payments, servicing, lending, back-office).
Analytical, Lean Six Sigma mindset (Green Belt/Black Belt or equivalent experience).
Excellent communication skills; able to translate technical findings into business value for senior stakeholders.
Bachelor s in Engineering, Computer Science, Information Systems, or related field; Master s a plus.

Desired Qualifications
Experience within a large financial institution or consulting for financial-services COO organizations.
Prior launch of a process-intelligence program from concept through adoption.
Certifications: UiPath Developer, AA Advanced RPA, Lean Six Sigma, AI/ML or GenAI credentials.
Familiarity with industry risk, control, and change-management frameworks.
.
Tools & Technologies

Skan.ai RPA (UiPath, Automation Anywhere, Blue Prism) Python SQL Celonis Power BI ServiceNow Cloud (Azure / Google Cloud Platform) GenAI platforms (OpenAI API, Azure OpenAI, Vertex AI) Git CI/CD pipelines

Best Regards,

Chetna

-D

-Fax

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