Unable to sponsor - ONLY Candidates that don't require any sponsorship are accepted
We are seeking a PEGA Architect for an on-site role in multiple locations. Please review the job description and apply to the job if interested
RATE: OPEN
Job Title: Pega Architect
Work Location & Reporting Address: On-site - Pittsburgh, PA (priority) / Jersey City, NJ / New York City, NY / Dallas, TX / Orlando, FL
Contract duration: 12 months
Job Details:
Minimum years of experience required: 10+ years
Must Have Skills:
Pega and BPM
Experience with SWIFT messaging and banking transaction flows, Payment
Hands-on experience with Smart Investigate, Smart Investigation for Securities
Certification: Certified PEGA Lead System Architect LSA (Mandatory)
Detailed Job Description:
Responsibilities:
Lead architecture, design, and delivery of PEGA Smart Investigate solutions for banking clients.
Implement and customize Smart Investigation for Securities, ensuring regulatory and compliance alignment.
Drive end-to-end PEGA solution design covering case lifecycle, data modeling, integrations, performance, and security.
Architect and govern PEGA applications in line with LSA guardrails, best practices, and enterprise standards.
Design and implement banking integrations, including SWIFT message flows and external financial systems.
Leverage AI Delivery features to accelerate development and improve solution quality.
Collaborate with business, compliance, and integration teams to translate requirements into scalable PEGA solutions.
Own non-functional requirements including performance, scalability, resiliency, and security.
Required skills:
10+ years of experience with PEGA.
Certified PEGA Lead System Architect (LSA) Mandatory.
Hands-on experience with Smart Investigate, Smart Investigation for Securities.
Strong understanding of banking fraud and investigation life cycles.
Experience with SWIFT messaging and banking transaction flows.
Integration expertise using REST and SOAP APIs, PEGA Queue Processors, Services, Connectors, and asynchronous processing.
Ability to apply AI features to improve productivity, quality, and decision outcomes.

