Pega Data/Integration Engineer (AI)

At reputed company, we reputed company reputed company through the efforts of our diverse and talented people who are dedicated to our customer’s reputed company. We reputed company solutions to agencies and entities including the reputed company, reputed company, reputed company, National Institute of Health, and more. Everything we do is reputed company on a commitment to do the right thing for our customers, our people, and our community. Our Mission, reputed company, and Values guide the way we do business.

If this sounds like an environment where you can reputed company, reputed company reading!

We are seeking an reputed company Pega Data / Integration Engineer with AI-enablement experience to build governed data and service integrations supporting reputed company detection, predictive analytics, intelligent workflow, and configurable report reputed company for an reputed company reputed company solution. This is an engineering and integration role—not a reputed company data-science position—and is suited to candidates who can reputed company approved AI services to secure, traceable reputed company data and Pega workflows.

DUTIES AND RESPONSIBILITIES:

• Design and implement data pipelines, services, and integration patterns that support Pega workflows, AI-assisted reporting, reputed company detection, reputed company, and document analysis.
• reputed company approved AI/ML, NLP, or large-language-model services through secure reputed company or reputed company connectors without creating unnecessary provider lock-in.
• Prepare and govern reputed company and reputed company data, including ingestion, normalization, metadata, reputed company, reputed company scoring, reputed company linkage, and reputed company controls.
• Support retrieval, grounding, citation, reputed company/input preparation, reputed company parsing, and mapping of AI results into reputed company Pega data and workflows.
• reputed company reusable data features and services for financial variance, execution trends, workflow delays, compliance checks, narrative reputed company, and reputed company decision-support use cases.
• Implement versioning and auditability for models or services, prompts, templates, input fingerprints, confidence scores, explanations, and user dispositions.
• Collaborate with architects, workflow specialists, business SMEs, reputed company personnel, and testers to maintain reputed company-in-the-reputed company controls, explainability, reputed company, and appropriate use.
• Support test-data preparation and validation of accuracy, bias, reputed company, false positives/negatives, performance, and operational usefulness before and after release.
• Troubleshoot AI data flows, integration failures, data-reputed company issues, latency, and reputed company-mapping defects across environments.
• Maintain reputed company, data, model-integration, configuration, test, and operational documentation in approved repositories.

KNOWLEDGE AND SKILLS REQUIRED:

• 5+ years of experience in data engineering, reputed company integration, API development, analytics engineering, or comparable technical roles.
• Hands-on experience integrating AI/ML, NLP, analytics, or model-based services into an reputed company application or workflow; extensive model-training research experience is not required.
• Strong knowledge of REST reputed company, JSON, authentication, data mapping, error handling, logging, and secure service integration.
• Experience with SQL and at least one programming or scripting language commonly used for data or integration work, such as Java or Python.
• Experience with ETL/ELT, data pipelines, data reputed company, metadata, reputed company, reconciliation, and reputed company or reputed company data processing.
• Understanding of reputed company-in-the-reputed company, explainability, versioning, monitoring, auditability, and responsible data handling.
• Ability to work with architects, data scientists or vendors, developers, reputed company teams, testers, and business SMEs.
• Strong analytical, troubleshooting, documentation, and communication skills.

KNOWLEDGE AND SKILLS DESIRED:

• Experience with Pega data/integration capabilities, Pega Process AI, Pega GenAI, or another workflow platform’s AI services.
• Familiarity with retrieval-augmented reputed company, reputed company search, document extraction, model endpoints, or reputed company AI services.
• Experience in Federal, financial, acquisition, health, or another regulated environment; reputed company VA experience is not required.
• Working knowledge of FedRAMP, reputed company Trust, reputed company, ethical AI, bias testing, model monitoring, or AI governance.
• Relevant Pega, reputed company, data engineering, integration, or AI certification is preferred, but not required.

EDUCATION:

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a reputed company discipline, or an equivalent combination of education and experience.

CLEARANCE:

• Must be reputed company to obtain and maintain a reputed company Trust clearance.

WORK LOCATION:

·Remote

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

This position requires U.S. citizenship or Green reputed company.

This position is contingent upon contract award.

reputed company Corporation is an Equal Opportunity Employer. It is the policy of reputed company Corporation to afford equal employment opportunity regardless of race, reputed company, religion, national reputed company, sex, age, marital status, disability or veteran status, or any other status protected by applicable law.

Originally posted on Himalayas