AI Solutions Principal Engineer

PepsiCo • Plano, TX

6d

About The Position

This role is for an AI Solutions Principal Engineer responsible for producing end-to-end solution architecture artifacts for consumer/commercial agentic use cases and enabling services. The engineer will define integration patterns, review designs for compliance, define and validate non-functional requirements, and ensure operational readiness. The position involves significant stakeholder collaboration with product owners, engineering teams, data teams, platform teams, and vendors. The role requires moderate decision-making autonomy and moderate supervision from the Senior AI Solutions Manager. The complexity of the role is high, involving management of complex AI/ML projects, large datasets, and integration with existing systems while ensuring scalability. Cross-functional interactions are regular with Data Science, Engineering, IT, digital products, and business stakeholders.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data/AI, or related field.
• 8–12 years in solution architecture with consumer/commercial digital platform exposure.
• Proven experience producing solution architectures for enterprise initiatives, including HLD/LLD, architecture diagrams, interface specifications, and NFRs.
• Strong integration architecture experience across APIs, event-driven patterns, data products, and customer platform ecosystems.
• Practical understanding of agentic AI architecture: tool/action execution, orchestration, memory/state, retrieval/grounding, evaluation/quality, and human-in-the-loop controls.
• Experience designing for security, privacy, and compliance in customer-facing contexts: IAM/RBAC, data classification/PII, consent considerations, auditability, and explicit trust boundary enforcement.
• Experience with production readiness: observability (logs/metrics/traces), resilience (timeouts/retries/idempotency), runbooks, and controlled rollout/rollback patterns.
• Strong understanding of consumer/commercial journeys and systems (at least 3–4): marketing workflows, sales processes, commerce checkout/order flows, customer identity, B2B portals, or D2C experiences.
• 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

• 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.

Responsibilities

• 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: Principal