The role involves building production-quality software that integrates AI capabilities while collaborating with business stakeholders to define requirements. You will also conduct client demonstrations, evaluate AI performance, and contribute reusable technical patterns to the team.
The role involves leading technical requirements conversations with stakeholders and designing end-to-end AI capabilities, including model selection and system integration. You will also be responsible for operationalizing these solutions, monitoring performance, and mentoring other engineers on AI best practices.
Lead the end-to-end lifecycle of AI solutions, from discovery and design to production deployment and monitoring. Collaborate with stakeholders to define success criteria and ensure AI capabilities are effectively integrated into business workflows.
Lead and supervise a team of test specialists to deliver comprehensive system, regression, and automation testing programs. Develop and execute end-to-end test strategies while translating complex program requirements into actionable test objectives.
The Business Analyst will elicit, document, and validate requirements for Agile software development teams supporting federal agencies. They will also manage project scope, facilitate stakeholder communication, and support technology modernization efforts like the transition to Google Workspace.
The Data Engineer will design and implement scalable Databricks solutions and ETL/ELT pipelines while administering enterprise MariaDB and SQL Server environments. They will also collaborate with stakeholders to translate technical requirements into secure data solutions and provide technical direction to engineering teams.
The Collibra Developer will design, develop, and implement enterprise data governance and metadata management solutions using the Collibra Data Intelligence Platform. This role involves integrating Collibra with Databricks to support metadata ingestion, cataloging, lineage, and governance workflows.
The QA Appian Test Engineer will partner with project teams to develop testing strategies and performance goals for Appian applications. Responsibilities include performing QA testing, creating test scripts, analyzing bugs, and writing user stories.
The Appian Business Analyst will partner with product teams and customers to define requirements, model processes, and design data structures for Appian applications. They will also author user stories, manage the product backlog, and facilitate discovery workshops to ensure project goals are met.
Lead a team of developers to design and implement Agentic RPA solutions using the UiPath platform. Provide technical guidance, mentorship, and evangelize UiPath capabilities to meet client needs.
