About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Rivian is seeking an entrepreneurial, hands-on senior individual contributor to build and scale our Enterprise Applied AI solutions driving impact across internal teams. As an Staff AI Engineer you will design, build, and operate production-grade systems at the forefront of generative AI, partnering with leaders across the company to unlock transformative business value. You will set technical direction, own complex domains, and raise the engineering bar through architectural leadership, operational excellence, and pragmatic innovation with language models and machine learning. You will work closely with Operations (Manufacturing, Supply Chain, Procurement, Quality), Product, Sales, Customer Service, Finance, HR, and other internal partners to align technical solutions to measurable enterprise outcomes. We are open to location for this role, but relocation to a center of gravity office would be required. This role will report to our Principal AI Engineer. Responsibilities Lead the technical design and hands-on development of prioritized AI applications, services, and platforms leveraging state-of-the-art LLM app stacks, retrieval-augmented generation, evaluation frameworks, and scalable serving. Define long-term architecture and engineering standards for Applied AI systems to maximize reuse, reliability, and impact across multiple product areas. Partner with business sponsors to translate high-value opportunities into roadmaps and shipped products with clear success metrics and measurable outcomes. Build a holistic view of AI investments by collaborating with adjacent engineering groups implementing AI in their domains, aligning patterns, reusing components, and avoiding duplication. Drive continuous improvement in AI methodologies and best practices; evaluate emerging capabilities and land them as secure, production-grade systems. Collaborate with Legal, Compliance, Risk, Audit, and Security to embed robust governance, privacy, security, safety, and reporting practices across the AI lifecycle. Champion AI literacy, enablement, and adoption through demos, guidance, and technical leadership across the org. Mentor engineers across levels; lead design reviews; improve code quality, reliability, observability, and cost/performance of AI workloads. Establish rigorous evaluation, guardrails, and monitoring practices; instrument offline and online metrics to ensure quality, safety, and SLOs. Optimize latency, throughput, and cost at scale; guide make/buy decisions and vendor integrations where appropriate. Qualifications BS/MS/PhD in Computer Science or a related field, or equivalent experience. 8+ years in software engineering, with a proven track record delivering complex, production-ready systems in enterprise environments. Deep technical knowledge in AI/ML, with hands-on experience building and deploying solutions using language models, retrieval/grounding, embeddings/vector search, and evaluation. Demonstrated ability to translate ambiguous business problems into robust AI products with measurable business impact. Experience defining and evolving architectures, standards, and platforms that create leverage across multiple teams. Strong familiarity with security, privacy, compliance, safety, and auditability for enterprise AI systems. Excellence in communication and stakeholder management; able to influence and align across diverse teams. Proven curiosity and mental agility to learn and apply new technologies through hands-on development and continuous learning. Pay Disclosure The salary range for this role is $206,500 - $258,100 for California based applicants and $173,400 - $216,800 for Georgia, Illinois and Michigan based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs. The successful candidate may be eligible for annual performance bonus and equity awards. We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than 1/23/26. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.
Staff AI Engineer, Enterprise Applied AI
Staff AI Engineer, Enterprise Applied AI at Rivian. This role focuses on designing, building, and operating production-grade generative AI systems to drive business value across internal teams. Responsibilities include leading technical design, defining architecture, partnering with business sponsors, and ensuring robust governance, privacy, and security. The role requires deep technical knowledge in AI/ML, hands-on experience with LLMs, RAG, embeddings, and evaluation, as well as experience in enterprise environments and compliance.
What you'd actually do
- Lead the technical design and hands-on development of prioritized AI applications, services, and platforms leveraging state-of-the-art LLM app stacks, retrieval-augmented generation, evaluation frameworks, and scalable serving.
- Define long-term architecture and engineering standards for Applied AI systems to maximize reuse, reliability, and impact across multiple product areas.
- Partner with business sponsors to translate high-value opportunities into roadmaps and shipped products with clear success metrics and measurable outcomes.
- Build a holistic view of AI investments by collaborating with adjacent engineering groups implementing AI in their domains, aligning patterns, reusing components, and avoiding duplication.
- Drive continuous improvement in AI methodologies and best practices; evaluate emerging capabilities and land them as secure, production-grade systems.
Skills
Required
- BS/MS/PhD in Computer Science or a related field, or equivalent experience.
- 8+ years in software engineering, with a proven track record delivering complex, production-ready systems in enterprise environments.
- Deep technical knowledge in AI/ML, with hands-on experience building and deploying solutions using language models, retrieval/grounding, embeddings/vector search, and evaluation.
- Demonstrated ability to translate ambiguous business problems into robust AI products with measurable business impact.
- Experience defining and evolving architectures, standards, and platforms that create leverage across multiple teams.
- Strong familiarity with security, privacy, compliance, safety, and auditability for enterprise AI systems.
- Excellence in communication and stakeholder management; able to influence and align across diverse teams.
- Proven curiosity and mental agility to learn and apply new technologies through hands-on development and continuous learning.
Nice to have
- LLM app stacks
- retrieval-augmented generation
- evaluation frameworks
- scalable serving
- language models
- retrieval/grounding
- embeddings/vector search
- AI literacy, enablement, and adoption
- mentoring engineers
- code quality, reliability, observability, and cost/performance of AI workloads
- offline and online metrics
- optimize latency, throughput, and cost at scale
- make/buy decisions and vendor integrations
What the JD emphasized
- production-grade systems
- scalable serving
- enterprise environments
- measurable business impact
- security, privacy, compliance, safety, and auditability for enterprise AI systems
- rigorous evaluation, guardrails, and monitoring practices
Other signals
- building and scaling production-grade systems
- generative AI
- language models and machine learning
- enterprise AI solutions