Rivian

Staff AI Engineer, Enterprise Applied AI

Rivian$173K — $216K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS/PhD in Computer Science or equivalent experience.
  • 8+ years in software engineering, delivering complex production-ready systems.
  • Deep expertise in AI/ML, particularly in language models and related technologies.
  • Ability to translate vague business problems into actionable AI-driven solutions.
  • Experience in defining architectures and standards to enhance team collaboration.
  • Knowledge of security, privacy, and compliance in enterprise AI contexts.
  • Strong communication skills, able to influence across diverse teams.
  • Demonstrated curiosity and ability to learn new technologies through hands-on development.

Responsibilities

  • Lead the design and development of AI applications using cutting-edge technology.
  • Define architecture and standards for scalable Applied AI systems.
  • Translate business opportunities into actionable roadmaps with measurable outcomes.
  • Collaborate with engineering groups to build a unified approach to AI.
  • Continuous improvement of AI methodologies and practices.
  • Ensure governance and security are embedded in AI processes through collaboration.
  • Promote AI literacy and technical enablement across the organization.
  • Mentor engineers and enhance the quality and reliability of AI workloads.
  • Establish monitoring and evaluation practices to ensure system quality.
  • Optimize performance metrics, cost-efficiency, and vendor engagement.

Benefits

  • Paid vacation and sick leave.
  • Comprehensive insurance options including life, medical, dental, and vision coverage.
  • Short-term and long-term disability insurance.
  • 401(k) Plan participation.
  • Employee Stock Purchase Program after meeting eligibility requirements.
  • Immediate benefits coverage for full-time employees.
Full Job Description
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.

About Rivian

Rivian is an American automaker and automotive technology company. Founded in 2009, the company develops vehicles, products and services related to sustainable transportation. Rivian has raised over $10.5 billion since 2019, with investments from Amazon, Ford, and Cox Automotive. The company's first two vehicles, the R1T and R1S, are electric vehicles that are expected to be released in 2021. Rivian has also announced plans to produce electric delivery vans for Amazon. The company has received praise for its focus on sustainability and its commitment to using recycled materials in its vehicles.
Learn more about Rivian
Size
10,000 employees
Market Cap
$16.8 billion
Industry
Founded
2009
NASDAQ

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