Associate Solutions Architect Jobs in Texas (NOW HIRING)

CAREERS TO SMILE ABOUT

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.

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.

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.

Governance & Architecture Review - (25%)

• 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.

NonFunctional & Production Readiness - (20%)

• 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).

Stakeholder Collaboration - (15%)

• 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

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

• Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution deployment.

Compensation and Benefits:

• 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.

Minimum Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data/AI, or related field.
• Experience: 9+ years in solution architecture with enterprise supply chain technology exposure.

Required Skills / Experience

• 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. 

Preferred Skills / Experience

• 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). 

Differentiating Competencies

• 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.

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

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

Minimum Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data/AI, or related field.
• Experience: 9+ years in solution architecture with enterprise supply chain technology exposure.

Required Skills / Experience

• 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. 

Preferred Skills / Experience

• 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). 

Differentiating Competencies

• 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.