Senior AI Engineer - 454210

This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/jobs/13757873 Overview\ As a Senior AI Engineer specializing in Agentic AI enablement, you will lead the design and delivery of production-grade agent capabilities built on the enterprise AI Backbone across cloud and edge environments across supply-chain and global functions. You will own end-to-end delivery of key agent modules and integration patterns (MCP/tooling), establish strong evaluation and regression discipline, and drive adoption by partnering with transformation teams, BU, platform engineering, and enterprise application owners. You serve as a technical anchor for the workstreamtranslating ambiguous business workflows into measurable agent outcomes, proactively identifying risks, proposing options/tradeoffs, and ensuring solutions scale across domains. Responsibilities\ Architectural Leadership & Strategic Execution (40%)\ * Design and architect transformative agent systems that enable organization-wide scaling, establishing new paradigms in agent architecture that become company standards. (Lead/Execute)\ * Pioneer novel agent patterns (tool-use orchestration, multi-agent systems, advanced memory architectures) that dramatically improve performance across the enterprise. (Lead/Execute)\ * Transform ambiguous business problems into elegant technical solutions with 10x efficiency gains through innovative approaches to system design. (Lead)\ * Optimize critical performance metrics beyond standard benchmarks, creating breakthrough improvements (90th percentile latency reduction, 50%+ token efficiency, near-perfect tool-call reliability). (Execute/Lead)\ * Establish architectural governance that propagates excellence across teams and projects. (Lead) Advanced Evaluation & Quality Engineering (20%)\ * Design scientifically rigorous evaluation frameworks that uncover non-obvious failure modes and edge cases others miss. (Lead/Execute)\ * Create organization-level evaluation standards and platforms that scale across multiple teams and projects. (Lead)\ * Innovate on automated testing methodologies that dramatically increase code quality while reducing QA overhead. (Execute/Lead)\ * Perform sophisticated statistical analysis of system behaviors to predict quality issues before they manifest. (Execute)\ * Establish early warning systems for emerging failure patterns. (Execute/Lead) Model Architecture & Routing Innovation (15%)\ * Architect intelligent routing systems that autonomously optimize for cost, latency, and quality trade-offs. (Lead/Execute)\ * Pioneer novel approaches to model selection, fine-tuning, and prompt engineering that set new performance standards. (Lead)\ * Create optimization algorithms that continuously improve routing decisions based on real-time feedback loops. (Execute/Lead)\ * Develop proprietary techniques for model evaluation that provide competitive advantage. (Execute/Lead) Advanced Integration & Ecosystem Development (15%)\ * Design scalable integration architectures that become enterprise standards for AI/app connectivity. (Lead)\ * Create abstraction layers that dramatically simplify how teams connect AI capabilities to enterprise systems. (Execute/Lead)\ * Establish next-generation integration patterns that anticipate future technology directions and enable seamless adoption. (Lead)\ * Develop tooling that accelerates integration velocity across the entire organization. (Execute/Lead) Organizational Multiplier & Innovation Leadership (10%)\ * Serve as technical visionary, elevating the entire AI organization's capabilities through knowledge transfer and mentorship. (Lead)\ * Anticipate industry shifts and position the organization to capitalize on emerging technological opportunities. (Lead)\ * Create internal communities of practice that accelerate knowledge sharing and collective innovation. (Lead)\ * Represent the company's technical excellence externally through publications, speaking engagements, and industry contributions. (Lead)\ * Drive cross-functional initiatives that break down silos and create new organizational capabilities. (Lead/Execute) Decision-Making Autonomy: High-moderate significant autonomy in AI engineering design choices and evaluation approach; aligns with standards and escalates policy/security-impacting decisions.Supervision Required: Moderate-low general direction from Transformation and Tech Executives and SME; self-directed execution with periodic design, execution and RoI reviews.Complexity of Role: High spans agent design, evaluation rigor, integration complexity, and cross-team delivery and deep business/domain expertise under evolving constraints.Cross-Functional Interactions: Yes continuous interaction with domain transformation leads, platform/SRE, security, and enterprise app teams Compensation and Benefits:\ * The expected compensation range for this position is between $110,700 - $185,250.\ * Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.\ * Bonus based on performance and eligibility target payout is 12% of annual salar