Pega Senior Developer

Job description

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. Primary Responsibilities The Pega Senior Developer shall lead development of the AI-driven capabilities and Robotic Process Automation (RPA)/automation features required by the CRM modernization effort. Responsibilities shall include, but are not limited to: 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. Required Qualifications: 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 Preferred Qualifications: 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 If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: September 29, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.