AI Solutions Assoc Prin Engineer

PepsiCo • Plano, TX

7d • Onsite

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, AI/ML, Data Science, or a related field.
• 9+ years in architecture / platform engineering, with experience designing enterprise platforms
• Proven experience in architecting AI Platform and solution with hands-on experience in code development and delivering production systems with security, governance, and operability
• Proven experience taking platforms from design, build ‚ operate, including governance, production support, and multi-team adoption.
• Proficiency in programming languages such as Python, Java, or C++.
• Platform architecture for distributed systems; multi‑tenant design and environment isolation.
• Solid understanding and hands on knowledge of temporal, Cloud and open source agent runtime, registry and gateway services
• Demonstrated ability to define and maintain reference architectures, reusable standards, and "golden path" patterns, and to own a multi-release platform roadmap
• Strong experience designing and enforcing security-by-design patterns, including non-human identity, credential lifecycle management, least-privilege access, and enterprise authorization approaches (e.g., RBAC/ABAC).
• Strong integration architecture background, including API gateway-based integration patterns and contract-driven interfaces; experience integrating with large enterprise platforms such as SAP, ServiceNow, and/or Salesforce (or equivalent systems of record).
• Experience designing and operating long-running orchestration and human-in-the-loop workflows with reliable retry, idempotency, and compensation/rollback patterns.
• Strong operational readiness mindset, including defining SLOs, observability standards (logs/metrics/traces), CI/CD gates (testing, security scans, approvals), and production support runbooks.
• 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 technologie

Responsibilities

• Define and maintain the end to end PepGenX platform reference architecture across agent lifecycle, orchestration, runtime, gateway, tools/connectors, memory/state, multi tenant isolation, and environment management.
• Establish platform capability standards (interfaces, versioning, compatibility) to enable safe reuse across teams and domains.
• Own the platform roadmap including release sequencing, dependency management, and deprecation strategy.
• Ensure architecture choices support scale, portability, and consistent developer experience.
• Define secure by design patterns for non human identity, credential handling, and least privilege access across agent workflows and tools.
• Establish RBAC/ABAC authorization models and consent/entitlement propagation across system boundaries.
• Enforce Explicit Boundary Enforcement (EBE) so cross system and cross agent access occurs only through governed contracts and platform controls.
• Standardize policy enforcement points (gateway, tool contracts, orchestration) rather than relying on prompt instructions.
• Define audit evidence requirements for agent actions, tool calls, approvals/handoffs, prompt/template changes, and model/provider switching.
• Establish standards for data classification, PII handling/redaction, and retention/purge policies for prompts, traces, and outputs.
• Define policy based routing to compliant models/providers based on data sensitivity and region/tenant requirements.
• Ensure compliance controls are measurable and verifiable through logs/traces and operational evidence.
• Define standard integration patterns with enterprise platforms (e.g., SAP, ServiceNow, Salesforce) through gateway and governed interfaces.
• Establish tool/API contract standards including schemas, error semantics, timeouts, retries, and idempotency expectations.
• Define standards for A2A/MCP usage, trust boundaries, and capability contracts across agents and tools.
• Drive interoperability and portability across cloud/runtime environments through consistent integration abstractions.
• Define deterministic human-agent collaboration patterns (assign, escalate, co pilot, co author) with clear approval and escalation gates.
• Establish long running orchestration patterns including timers, retries, idempotency, and compensation/rollback for safe execution.
• Standardize workflow state handling and durable context management across multi step enterprise processes.
• Ensure orchestration patterns support safe failure recovery and prevent duplicate side effects.
• Define platform SLO posture and operational readiness standards, including incident and credential compromise runbooks.
• Standardize observability requirements via PepVigil (logs, metrics, traces, evals, and cost) for platform and onboarded workloads.
• Define CI/CD promotion gates including versioning, testing, security scans, approvals, and drift detection.
• Publish reference implementations, onboarding playbooks, and enablement materials to accelerate adoption and reduce bespoke delivery.
• Work with Senior Platform Architect in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions Manager.
• Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support.
• The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability.
• Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution deployment.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Principal