Pega Senior Developer

Leidos•Baltimore, MD

2d•$131,300 - $237,350•Onsite

About The Position

The Digital Sector at Leidos currently has an opening for a Pega Senior Developer to work in our Baltimore, Maryland office. This is an exciting opportunity to use your experience helping the Center for Medicare and Medicaid Services (CMS) implement AI-driven capabilities and intelligent automation for the modernization of its legacy Contact Center CRM platform.

Requirements

Bachelor’s degree and a minimum of 8-10 years of relevant software development experience, including significant Pega Platform development experience, or an equivalent combination of education and experience
Pega Certified Senior System Architect (PCSSA) or higher certification
Experience implementing AI-enabled features (e.g., predictive analytics, NLP, decisioning, next-best-action) within the Pega Platform
Ability to obtain Public Trust

Nice To Haves

Pega Certified Lead System Architect (CLSA)
Experience with Pega GenAI, Pega Knowledge Buddy, or integrating large language models (LLMs) within Pega applications
Experience with case management, workflow automation, and low-code/no-code configuration-first development
Experience with API-first integration patterns and event-driven architecture within Pega
Experience developing Pega RPA bots and automating complex, multi-step business processes, including mainframe/screen-scraping replacement
Experience with Agile/Scrum or SAFe delivery methodologies
Experience supporting CMS or other federal health/human services modernization programs

Responsibilities

Lead Pega development of the AI-driven capabilities defined in the SOO: Predictive Intent Recognition, Intelligent Knowledge Surfacing, AI-Driven Workflow Suggestions, Omnichannel Case Summarization, CSR Coaching Analytics, and Role-Based AI Dashboards.
Design and develop Pega RPA bots to replace legacy mainframe screen-scraping integrations, ensuring reliable, low-risk automation of CMS mainframe transactions.
Architect and build automated workflows, case types, and business rules within the Pega Platform to support CCOG-approved business functions and streamline CSR case handling.
Lead technical design and implementation of AI-enabled guided workflows, knowledge recommendation surfacing, and next-best-action capabilities within the CSR workspace.
Implement predictive intent recognition and interaction summarization features leveraging Pega’s native AI/decisioning capabilities and integrated AI/large language model (LLM) services.
Develop CSR coaching analytics capabilities, including sentiment analysis, script adherence tracking, and supervisor dashboards.
Build and maintain role-based, interactive dashboards providing AI-surfaced insights filterable by segment, time frame, and case type, with role-based data access controls.
Support the AI Feature Roadmap by translating prioritized AI capabilities into sprint-level user stories, technical designs, and working software demonstrated in sprint reviews.
Design and develop Pega components (data objects, case types, business rules, integrations, UI) supporting the Unified CSR Workspace, Beneficiary/Consumer 360 view, and Knowledge Management.
Lead configuration-first, low-code/no-code development practices, minimizing custom code and ensuring all customizations are documented and COR-reviewed.
Develop and maintain API-first integrations between Pega and CMS systems of record (e.g., Medicare Claims & Beneficiary Systems, Marketplace & Enrollment Systems).
Support Definition of Done criteria, ensuring all Pega development is unit tested, integrated, security scanned, and validated prior to release.
Partner with the Pega Lead System Architect, AI/Innovation Lead, and Product Manager to translate AI Compliance and Risk Management Plan requirements into technical implementations, including bias mitigation and governance controls.
Mentor and provide technical guidance to Pega developers on AI feature development, RPA automation, and platform best practices.
Support Proof of Concept (PoC) demonstrations of case management, knowledge integration, and AI features.
Troubleshoot and resolve defects in Pega-based AI, automation, and case management components, supporting production support and hypercare activities.
Ensure Pega development adheres to FedRAMP High, Zero Trust, and Section 508 accessibility requirements.
Support performance tuning of Pega-based AI features and automation to meet the ≥90% AI Feature Accuracy SLA and platform performance standards.
Document technical designs, RPA bot logic, and AI feature configurations to support requirements traceability and the Transition-Out Plan.
Collaborate with the Release Train Engineer and Agile delivery teams during PI planning, sprint planning, and sprint reviews to align AI/RPA development with release schedules.
Communicate technical status, risks, and dependencies related to AI and automation development to CMS leadership, and Leidos management.
Actively participate in planning sessions, requirements gathering activities, design sessions, Agile sessions, and other events supporting the CRM modernization effort.