Consumer Goods STEM OPT Jobs in Texas
Consumer goods F-1 STEM OPT sponsorship jobs in Texas span supply chain analytics, product development engineering, and data science roles at companies like PepsiCo, Keurig Dr Pepper, and McLane Company. Dallas-Fort Worth and Houston anchor most hiring activity, with roles concentrated in operations, consumer insights, and packaging engineering across both multinational brands and regional distributors.
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As an AI Engineer specializing in AI Agents, you will play a pivotal role in our organization's transformation strategies by designing and developing domain-specific AI agents and solutions. Prototyping, iterating, and taking these solutions to production, you serve as the technical complement to the business side of the AI Solutions Lead. Your work will involve close collaboration with transformation teams, business stakeholders, and AI platform teams to create scalable, cross-domain AI solutions that deliver actionable insights and perform intelligent tasks.
Responsibilities
AI Development (40%)
- Prototyping, iterating, and taking to production domain-specific AI agents that can communicate and work with other AI agents, performing tasks such as information gathering, insight generation, and intelligent actions.
- Writing and optimizing code for high-performance AI models.
- Develop an actionable Generative AI roadmap and drive solution development using Gen-AI and Agentic AI capabilities.
Collaboration with Teams (20%)
- Collaborate with transformation teams and business stakeholders to understand requirements and tailor AI agents to specific domains.
- Work closely with AI platform teams to build scalable and cross-domain AI agents while ensuring end-to-end observability.
Integration & Deployment (20%)
- Lead AI projects, demonstrating hands-on experience in code development and software engineering.
- Deploy, monitor, and optimize AI agents on cloud infrastructure, ensuring high availability and performance.
Continuous Learning (20%)
- Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents.
- Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions.
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.
Compensation and Benefits:
- The expected compensation range for this position is between $106,400 - $178,100.
- 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.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
- Experience: Proven experience in leading AI projects with hands-on experience in code development and software engineering.
Required Expertise:
- Proficiency in programming languages such as Python, Java, or C.
- 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.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a cross-functional team environment.
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.
Overview
As an AI Engineer specializing in AI Agents, you will play a pivotal role in our organization's transformation strategies by designing and developing domain-specific AI agents and solutions. Prototyping, iterating, and taking these solutions to production, you serve as the technical complement to the business side of the AI Solutions Lead. Your work will involve close collaboration with transformation teams, business stakeholders, and AI platform teams to create scalable, cross-domain AI solutions that deliver actionable insights and perform intelligent tasks.
Responsibilities
AI Development (40%)
- Prototyping, iterating, and taking to production domain-specific AI agents that can communicate and work with other AI agents, performing tasks such as information gathering, insight generation, and intelligent actions.
- Writing and optimizing code for high-performance AI models.
- Develop an actionable Generative AI roadmap and drive solution development using Gen-AI and Agentic AI capabilities.
Collaboration with Teams (20%)
- Collaborate with transformation teams and business stakeholders to understand requirements and tailor AI agents to specific domains.
- Work closely with AI platform teams to build scalable and cross-domain AI agents while ensuring end-to-end observability.
Integration & Deployment (20%)
- Lead AI projects, demonstrating hands-on experience in code development and software engineering.
- Deploy, monitor, and optimize AI agents on cloud infrastructure, ensuring high availability and performance.
Continuous Learning (20%)
- Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents.
- Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions.
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.
Compensation and Benefits:
- The expected compensation range for this position is between $106,400 - $178,100.
- 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.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
- Experience: Proven experience in leading AI projects with hands-on experience in code development and software engineering.
Required Expertise:
- Proficiency in programming languages such as Python, Java, or C.
- 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.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a cross-functional team environment.
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.
STEM OPT Consumer Goods Job Roles in Texas
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Search Consumer Goods Jobs in TexasConsumer Goods STEM OPT Sponsorship Jobs in Texas: Frequently Asked Questions
Which consumer goods companies sponsor F-1 STEM OPT visas in Texas?
Several large consumer goods employers in Texas have a history of sponsoring F-1 STEM OPT workers. Keurig Dr Pepper, headquartered in Frisco, regularly hires for engineering and data analytics roles. PepsiCo has significant operations in Plano. McLane Company in Temple employs supply chain and technology talent. Dell Technologies, though primarily a tech firm, also intersects with consumer goods distribution and sponsors STEM OPT candidates across its Texas campuses.
Which cities in Texas have the most consumer goods F-1 STEM OPT sponsorship jobs?
Dallas-Fort Worth leads Texas for consumer goods STEM OPT sponsorship, driven by corporate headquarters and regional distribution centers concentrated in Plano, Frisco, and Irving. Houston is a strong second, particularly for food manufacturing, chemical consumer products, and logistics technology roles. Austin is growing as consumer brands expand technology and e-commerce operations there. San Antonio supports food and beverage manufacturing employment, especially in operations and process engineering.
What types of consumer goods roles typically qualify for F-1 STEM OPT sponsorship?
Roles that qualify for STEM OPT must fall under a STEM-designated Classification of Instructional Programs code tied to the student's degree. In consumer goods, qualifying positions commonly include supply chain engineer, data analyst, process engineer, packaging engineer, consumer insights analyst, and demand planning analyst. Roles requiring degrees in industrial engineering, data science, statistics, or materials science frequently meet the STEM OPT criteria reviewed by the student's Designated School Official.
How do I find consumer goods F-1 STEM OPT sponsorship jobs in Texas?
Migrate Mate filters jobs specifically by visa type and industry, making it straightforward to search for consumer goods roles in Texas that are open to F-1 STEM OPT candidates. Rather than manually screening generic job postings, you can narrow results to employers with documented sponsorship activity in consumer goods. Searching by city within Texas, such as Dallas or Houston, lets you target the markets with the highest concentration of relevant employers and STEM-eligible positions.
Are there any Texas-specific or industry-specific considerations for F-1 STEM OPT sponsorship in consumer goods?
Texas has no state income tax, which affects compensation structuring but does not change federal STEM OPT rules. Consumer goods employers in Texas often operate across manufacturing, distribution, and corporate functions, so the sponsoring entity matters: a manufacturing plant and a corporate headquarters may have different HR processes for STEM OPT onboarding. Employers in Texas must be enrolled in E-Verify to sponsor STEM OPT extensions, as required by USCIS for all STEM OPT employers nationwide.