AI Solutions Sr Principal Engineer

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:

• Enterprise SaaS Agentic Architecture (30%)

Define solution architecture patterns for Agentforce and AssistNow implementations, including how agent capabilities are designed, integrated, and governed across enterprise SaaS environments.

• Governance Framework, Engineering Principles & Pattern Library (30%)

Document, maintain, and continuously update engineering principles, governance framework, and reusable patterns to ensure consistent delivery and reduce bespoke implementations across platforms.

• Architecture Review, Approval & Exception Governance (25%)

Work with enterprise platform teams to ensure solution architectures are reviewed and approved per established patterns; govern edge use cases and deviations via controlled, case-by-case review.

• Cross-Platform Alignment & Adoption Enablement (15%)

Enable adoption through clear documentation and guidance so delivery teams can implement solutions consistently across Agentforce and AssistNow, aligned to platform standards and governance expectations.

• Decision-Making Autonomy Moderate - Significant autonomy in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions Manager.
• Supervision Required Moderate - Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support.
• Complexity of Role High - The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability.
• Cross-Functional Interactions Yes - Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution deployment.

Do you have experience in Solution architecture design?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).

• Master's degree (MBA, MIS, MS in CS/Engineering) preferred.
• 12+ years in enterprise architecture / platform engineering / solution architecture, with experience designing and governing enterprise-scale platforms.
• Proven experience architecting AI/agentic solutions in production, including security, governance, auditability, and operability.

Required Expertise:

• Must-have SaaS agentic platform experience:
• Salesforce Agentforce architecture experience (required) including agent/action design, security model, and enterprise integration patterns.
• ServiceNow AssistNow/Now Assist architecture experience (required) including ITSM/Knowledge patterns, ACL/security model, and enterprise integration patterns.
• Enterprise SaaS architecture foundation:
• Strong hands-on architecture experience on Salesforce (Sales/Service Cloud, platform security model, integration patterns).
• Strong hands-on architecture experience on ServiceNow (ITSM/Knowledge/Platform, ACL/security model, integration patterns).
• Proficiency in Python, Java, or C++ (ability to engage engineering teams and design tool/service interfaces).
• Platform architecture for distributed systems, including multi-tenant design and environment isolation (dev/test/prod).
• Strong integration architecture background including API gateway-based patterns, identity integration (SSO/OAuth), and contract-driven interfaces; experience integrating with systems of record such as Salesforce and ServiceNow (SAP integration is a plus).
• Strong operational readiness mindset: defining SLOs, observability standards (logs/metrics/traces), CI/CD gates (testing, security scans, approvals), and production support runbooks.
• Ability to drive adoption through documentation, reference implementations, and enablement of engineers and architects across teams.
• Experience and working knowledge of agentic AI frameworks (e.g., LangChain, CrewAI, MCP, A2A) and deploying AI solutions on AWS/Azure/GCP.
• Strong understanding of designing AI agents (tools/actions, orchestration, memory/state, evaluation) and incorporating advancements in AI/ML responsibly

Pulled from the full job description

• Paid parental leave
• Parental leave
• Health insurance
• Retirement plan
• Paid time off
• Vision insurance
• Dental insurance, * The expected compensation range for this position is between $123,500 - $206,750.
• 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 15% 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.

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.