Pega Data/Integration Engineer (AI)
At Technatomy , we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customer’s success. We provide solutions to agencies and entities including the Department of Veterans Affairs, Department of Defense, Defense Logistics Agency, National Institute of Health, and more. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.
If this sounds like an environment where you can thrive, keep reading!
We are seeking an experienced Pega Data / Integration Engineer with AI-enablement experience to build governed data and service integrations supporting anomaly detection, predictive analytics, intelligent workflow, and configurable report generation for an enterprise Department of Veterans Affairs solution. This is an engineering and integration role—not a pure data-science position—and is suited to candidates who can connect approved AI services to secure, traceable enterprise data and Pega workflows.
DUTIES AND RESPONSIBILITIES:
- Design and implement data pipelines, services, and integration patterns that support Pega workflows, AI-assisted reporting, anomaly detection, prediction, and document analysis.
- Integrate approved AI/ML, NLP, or large-language-model services through secure APIs or modular connectors without creating unnecessary provider lock-in.
- Prepare and govern structured and unstructured data, including ingestion, normalization, metadata, lineage, quality scoring, source linkage, and access controls.
- Support retrieval, grounding, citation, prompt/input preparation, output parsing, and mapping of AI results into structured Pega data and workflows.
- Develop reusable data features and services for financial variance, execution trends, workflow delays, compliance checks, narrative quality, and related 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, security personnel, and testers to maintain human-in-the-loop controls, explainability, privacy, and appropriate use.
- Support test-data preparation and validation of accuracy, bias, drift, false positives/negatives, performance, and operational usefulness before and after release.
- Troubleshoot AI data flows, integration failures, data-quality issues, latency, and output-mapping defects across environments.
- Maintain interface, data, model-integration, configuration, test, and operational documentation in approved repositories.
KNOWLEDGE AND SKILLS REQUIRED:
- 5+ years of experience in data engineering, enterprise integration, API development, analytics engineering, or comparable technical roles.
- Hands-on experience integrating AI/ML, NLP, analytics, or model-based services into an enterprise application or workflow; extensive model-training research experience is not required.
- Strong knowledge of REST APIs, 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 quality, metadata, lineage, reconciliation, and structured or unstructured data processing.
- Understanding of human-in-the-loop AI, explainability, versioning, monitoring, auditability, and responsible data handling.
- Ability to work with architects, data scientists or vendors, developers, security 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.
- Familiarit