Artificial Intelligence/Machine Learning Engineer (RISE)

𝐉𝐨𝐛 𝐓𝐢𝐭𝐥𝐞 : 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞/𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐑𝐈𝐒𝐄) 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧 : 𝐀𝐮𝐬𝐭𝐢𝐧, 𝐓𝐗. 𝐃𝐮𝐫𝐚𝐭𝐢𝐨𝐧 : 𝐇𝐲𝐛𝐫𝐢𝐝 / 𝐈𝐧 𝐏𝐞𝐫𝐬𝐨𝐧 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 : 𝟏𝟐 + 𝐘𝐞𝐚𝐫𝐬 𝐉𝐨𝐛 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧 𝐨𝐟 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: The Employees Retirement System of Texas (ERS) requests the services of one AI/ML Engineer specializing in AI/ML oversight, hereafter referred to as “Worker,” who meets the general qualifications of Specialist and the specifications outlined in this document for the Employees Retirement System of Texas. 𝐆𝐞𝐧𝐞𝐫𝐚𝐥 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: - This role is for an AI/ML Oversight Specialist with a strong production software engineering background, specializing in automated testing, regression coverage, pipeline validation, and system quality assurance. The role is technically hands-on in nature, requiring the Worker to provide independent validation of AI-generated outputs and data pipeline integrity within the RISE data migration program. - The Worker will rely on their project management and production engineering background to independently validate tooling, architecture, and quality processes. The resource must have the ability to communicate findings clearly to conversion specialists, program leadership, and ERS stakeholders. 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: - ERS is seeking an AI/ML Oversight Specialist with a strong engineering background. The Worker will provide independent quality assurance of architecture decisions, validate outputs and delivery processes within the RISE data migration program, ensuring the AI capability layer produces accurate, consistent, and auditable results that meet ERS quality and governance standards. 𝐓𝐡𝐞 𝐰𝐨𝐫𝐤𝐞𝐫 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞 𝐟𝐨𝐫: - Verify AI/ML architecture decisions and guidelines within the RISE data migration program. - Validate data pipeline integrity processes across high-volume ingestion and transformation processes, including record count reconciliation, field-level accuracy verification, and exception rate tracking against defined quality thresholds. - Review AI pipeline code, test scripts, and data transformation logic across the delivery team, catching data contract issues, performance regressions, and output quality risks before they reach ERS reviewers. - Support knowledge transfer activities by documenting validation frameworks, test coverage maps, and quality assurance processes so ERS-embedded staff can sustain oversight practices post-engagement. - Collaborate with the ML/AI Engineer on pipeline performance optimization and output calibration, applying production systems experience to improve throughput, reduce latency, and ensure data integrity at scale - The Worker should have strong production engineering experience in AI delivery environments and communicate quality findings clearly to non-technical program stakeholders. WORKER SKILLS AND QUALIFICATIONS MINIMUM with 2+ years, production software engineering including: - Python back-end services - Async pipeline architecture - GRPC/REST API development - Demonstrated ability to build, ship, and maintain systems at scale with measurable performance outcomes with 2+ years exp - Regression testing framework design and execution with 2+ years exp - Experience building automated test infrastructure that provides coverage across complex multi-system workflows, including systems not accessible via standard DOM or API selectors with 2+ years exp - High-volume data pipeline validation including batched ingestion, bulk-load integrity verification, record count reconciliation, and exception identification across large, structured datasets with 2+ years exp - Clear technical communication of system behavior, and quality findings to cross-functional teams including engineers, product managers, and non-technical stakeholders in a structured delivery environment with 1+ years exp 𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝: - PostgreSQL query optimization, bulk-load performance tuning, and data integrity validation at scale with 2+ years exp. - Experience identifying and resolving data quality issues across high-volume ingestion and transformation pipelines with 2+ years exp - Cross-team code review discipline with demonstrated ability to catch API contract issues, performance with 1+ years exp - Regressions, and data integrity risks before production; experience reviewing both backend and frontend pull requests across multi-engineer teams with 1+ year exp - Experience in a production engineering environment requiring end-to-end ownership of quality with 1+ years exp - Outcomes across multiple product teams or customer-facing services; comfort operating across ambiguous, fast-moving technical environments with high accountability with 1+ years exp 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐄𝐱𝐩𝐞𝐜𝐭𝐚𝐭𝐢𝐨𝐧𝐬: - Attends all meetings, meets delivery deadlines and is available during ERS office hours. - Logs in and remains on agency Jabber during work hours. - Attends remote meetings with camera on unless prior arranged for camera off. - Coordinates leave and vacation with ERS lead. - Must dress appropriately for a business/business casual environment. - Communicates respectfully and works harmoniously with all co-workers, customers, and vendors. - Provides exceptional customer service. - Is flexible; able to work under pressure and able to adapt to change; and able to work on multiple problems and tasks. - Take initiative to prevent and solve problems.