AI Solutions Principal Engineer
pepsicojobs
Job Description
1) 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)
2) 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)
3) 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)
4) 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)
5) 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)