60 Pepsico Senior Lead Software Engineer Jobs Hiring Near You

Job Summary:
PepsiCo is a leading company in the food and beverage industry, seeking a Senior AI Engineer specializing in Agentic AI enablement. The role involves leading the design and delivery of production-grade agent capabilities across cloud and edge environments, optimizing performance metrics, and driving adoption through collaboration with various teams.
Responsibilities:
• 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)
• 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)
• 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)
• 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)
• 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)
Qualifications:
Required:
• Bachelor’s in CS/AI/ML or equivalent experience required
• 8+ year experience with Software life cycle
• Expertise in ML (structured and unstructured data) development and engineering
• Proven experience shipping LLM/agent solutions to production with measurable quality and operational practices.
• Advanced Software Engineering: Python (and Java) mastery with distributed systems expertise; performance optimization (profiling, parallelization); architecture patterns (e.g., FastAPI, asyncio, Pydantic)
• LLM & Agent Systems: Multi-agent orchestration (e.g., LangChain, LangGraph, CrewAI); advanced prompt engineering; custom agent memory architectures; model optimization techniques
• Evaluation Framework Development: Statistical evaluation design (confidence intervals, power analysis); benchmark creation; instrumentation frameworks (e.g., MLflow, Arise); regression testing systems
• ML Operations: Production deployment pipelines (e.g., Docker, Kubernetes, Ray); model registry management; scaled inference optimization; GPU utilization optimization
• Enterprise Integration: Enterprise connector development; scalable API architectures; data pipeline engineering (e.g., Kafka, gRPC, Redis); authorization protocol implementation
• Observability Engineering: Telemetry system design (e.g., Prometheus, OpenTelemetry); automated anomaly detection; distributed tracing; performance dashboarding (e.g., Grafana)
• System Architecture: Microservice design patterns; high-throughput event processing; fault-tolerance implementation; horizontal scaling architectures
• Technical Leadership: Architecture governance systems; engineering standards development; build-vs-buy evaluation frameworks; technical roadmap creation
Preferred:
• Master’s preferred
• Full-stack dev experience on modern stack
• Modelling User Interactions with AI Systems; Modeling multi-agent behaviour loops with tools like Temporal
• Agentic memory Patterns and usage with tools like MEM0 and Temporal
• Experience with Agentic RAG; Domain level Semantic Layer Designs with Graph and Vector DBs
Company:
PepsiCo is a food and beverage company. Founded in 1898, the company is headquartered in Purchase, USA, with a team of 10001+ employees. The company is currently Late Stage.