AI Solutions Architect
Indexed description
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.
Responsibilities
Solution Architecture & Design - (40%)
- 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.
- Significant autonomy 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.
- The expected compensation range for this position is between $110,700 - $185,250.
- Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
- Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually.
- Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
- In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data/AI, or related field.
- 9+ 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.
- 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.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.
Please view our Pay Transparency Statement.
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