AI Solutions Architect

PepsiCo • Plano, TX

1d

About The Position

At PepsiCo, you’ll discover a place where our mission is to create smiles around the world. With a portfolio of more than 500 beloved brands including, Gatorade, Lay’s and Quaker, our work touches millions of people every day. At the heart of the company is a team of thinkers, creators, and problem-solvers who collaborate to innovate and turn ideas into action. Driven by innovation and a focus on creating joyful moments through food and drinks, our decisions are guided by consumer centricity, creating opportunities for our associates to do meaningful work and make a lasting impact in the communities we serve. Whatever your role, you’ll be part of a global community that values your ideas and empowers you to make an impact, on your career and on the world around you.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data/AI, or related field.
• 9+ years in solution architecture with enterprise supply chain technology exposure.
• Proven experience producing solution architectures for enterprise initiatives including HLD/LLD, integration diagrams, and NFR specifications.
• Strong integration design experience across APIs, events, batch processing, and data platforms; ability to define contract-driven interfaces (schemas, error handling, versioning).
• Practical understanding of agentic AI architecture patterns: tool/action execution, orchestration, memory/state, retrieval/grounding, evaluation/quality, and human-in-the-loop controls.
• Experience designing for security and compliance: IAM concepts (RBAC), data classification/PII considerations, auditability, and explicit trust boundary enforcement.
• Experience with production readiness: observability (logs/metrics/traces), resilience (timeouts/retries/idempotency), operational runbooks, and change control.
• Strong supply chain domain understanding across at least 3-4 areas: planning, procurement, warehousing, manufacturing, transportation, network design.
• Proficiency in programming languages such as Python, Java, or C++.
• Ability to drive adoption through clear documentation, reference implementations, and enablement of engineers and architects across teams.
• Experience and working knowledge with Agentic AI frameworks (e.g., Langchain, CrewAi, MCP, A2A) and deployment of AI solutions on cloud infrastructures (AWS, Azure, or Google Cloud).
• Strong understanding and experience in designing AI agents and integrating advancements in AI/ML technologies.

Nice To Haves

• Experience integrating with SAP and/or supply chain planning platforms (or equivalent systems of record).
• Familiarity with AI platform components (LLM providers, vector DB/RAG, model routing, evaluation frameworks).
• Experience working with agile delivery at scale (PI planning, cross-team dependency management).
• Strong stakeholder influence and ability to drive alignment across product, engineering, data, and security teams.
• Ability to simplify complex systems into clear architectures and guide teams toward reusable patterns.
• Bias for measurable outcomes: reliability, adoption, cost, and operational stability.
• Technical Proficiency: Deep understanding of new technologies, GenAI algorithms and Agentic tools.
• Problem-Solving: Ability to translate business challenges into technical solutions.
• Collaboration Skills: Effective at working within cross-functional teams.
• Agility: Flexibility to adapt to changing requirements and new technologies.
• Communication Skills: Capable of explaining complex technical concepts to non-technical stakeholders.

Responsibilities

• Lead solution architecture for agentic AI solutions across Supply Chain programs such as DTV, Procurement, R2P, Warehousing, Manufacturing, Transportation, and Network Design, ensuring designs meet enterprise standards for security, scalability, reliability, and observability.
• Produce end-to-end solution architecture artifacts (HLD/LLD, C4 context/container, sequence diagrams) for consumer/commercial agentic use cases and enabling services.
• Define integration patterns with customer-facing platforms (CRM, commerce, marketing tech, customer data platforms), API ecosystems, and data platforms.
• Review agentic solution designs for compliance with platform patterns, security guardrails, and enterprise architecture standards.
• Document ADRs for key design choices, exceptions, and trade-offs; drive remediation actions for non-compliant designs.
• Define and validate NFRs: availability, latency, throughput, resilience, auditability, security, privacy, and cost controls.
• Ensure observability and operational readiness are designed-in (logging, tracing, metrics, evals, runbooks, rollback patterns).
• Partner with product owners, engineering teams, data teams, platform teams, and vendors to deliver aligned architecture and unblock dependencies.
• Facilitate architecture workshops and design sign-offs across cross-functional teams

Benefits

• Paid parental leave
• vacation
• sick
• bereavement
• Medical
• Dental
• Vision
• Disability
• Health
• Dependent Care Reimbursement Accounts
• Employee Assistance Program (EAP)
• Insurance (Accident, Group Legal, Life)
• Defined Contribution Retirement Plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree