Zebra Technologies Logo

Zebra Technologies

Advanced AI Scientist

Posted 5 Days Ago
Be an Early Applicant
In-Office
Austin, TX, USA
139K-208K Annually
Senior level
In-Office
Austin, TX, USA
139K-208K Annually
Senior level
Develop and deliver production-grade AI and generative AI solutions for strategic customers. Build agentic applications using LLMs, RAG, multimodal AI, orchestration, tool calling, memory, and adaptive execution. Engineer evaluation, observability, reliability, security, and scalability capabilities. Lead customer delivery from discovery through deployment and continuous improvement while collaborating with Product, Engineering, and customers to influence product direction and create reusable AI frameworks.
The summary above was generated by AI

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.


Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.


You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally.


Come make an impact every day at Zebra.


What We're Looking For:

The Advanced AI Scientist is a highly experienced technical individual contributor within Product and Forward Deployed Engineering, responsible for developing and delivering AI/GenAI solutions for strategic customers. The role works closely with customers, Product, Engineering, and cross-functional teams to translate complex business challenges into production-ready solutions with measurable business impact.

Key Responsibilities

•Develop and deliver AI/GenAI solutions using LLMs, foundation models, RAG, multimodal AI, and emerging agentic technologies to solve complex customer problems.

•Build advanced agentic applications using multi-agent orchestration, planning and execution, tool calling, MCP/A2A, agent memory and state, and adaptive execution patterns.

•Engineer reliable AI systems through model selection, prompt and context engineering, evaluation, benchmarking, guardrails, robust tool execution, and continuous improvement.

•Develop AI evaluation and observability capabilities to measure task completion, agent behavior, tool use, quality, reliability, latency, and cost.

•Develop production-grade software using Python, Java, Go, or TypeScript, integrating AI capabilities with enterprise applications, APIs, data, and customer workflows.

•Deploy, operate, troubleshoot, and optimize AI solutions for security, reliability, performance, scalability, cost efficiency, and user experience.

•Lead technical delivery for strategic customers, from problem discovery and rapid prototyping through production deployment, adoption, and continuous improvement.

•Collaborate with customers, Product, Engineering, and cross-functional teams to translate business needs into technical solutions, communicate tradeoffs, and influence product direction.

•Drive innovation by evaluating emerging AI technologies and translating customer learnings into reusable frameworks, tools, engineering practices, and product capabilities.

 

Minimum Qualifications:

-Master’s or Ph.D in mathematics, statistics, computer science, computer engineering, operations research, or related field.

-Minimum 8+ years' experience in data science, machine learning, or software engineering required.


Preferred Qualifications:

•Deep hands-on experience with Generative AI, LLMs, foundation models, RAG, multimodal AI, prompt/context engineering, and AI application development.

•Strong expertise in agentic AI, including multi-agent systems, orchestration, planning and execution, tool calling, agent memory/state, MCP/A2A, and emerging agentic patterns.

•Experience building reliable AI systems through evaluation, benchmarking, guardrails, hallucination mitigation, observability, and continuous improvement.

•Strong software engineering skills, with proficiency in Python and/or languages such as Java, Go, or TypeScript.

•Experience deploying and operating production AI systems, with a focus on reliability, security, performance, scalability, observability, and cost efficiency.

•Demonstrated ability to rapidly experiment with emerging AI technologies and translate concepts into practical, production-ready solutions that deliver measurable customer outcomes.

Equal Opportunity Employer:

Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability and protected veteran status, or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at [email protected].

Know Your Rights:

https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf

Conozca sus Derechos:

https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRightsSp_10_20.pdf

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at [email protected] .

Pay Range:

$138,800.00 - $208,200.00 Annual

Incentive Compensation:

In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 15% of base pay, in accordance with the terms of the applicable incentive plan.

Zebra Total Rewards:

Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive – including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work.

Salary offered will vary depending on your location, job-related skills, knowledge, and experience.

Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards.

Benefits:

We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.

Job Posting Statement:

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

AI Technology Statement:

Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.

Similar Jobs

9 Minutes Ago
In-Office
81K-167K Annually
Senior level
81K-167K Annually
Senior level
Other • Utilities
Analyzes broadband, customer, product, and marketing data to evaluate campaign performance, acquisition, retention, segmentation, channel effectiveness, and ROI. Develops dashboards, reporting frameworks, analytical models, and executive presentations. Partners with Marketing, Product, Data Science, Finance, Sales, and Technology teams to define KPIs, measurement approaches, and actionable recommendations that improve business performance and customer experience.
Top Skills: Aws RedshiftAzureDatabricksSQLTableau
51 Minutes Ago
In-Office
85K-120K Annually
Mid level
85K-120K Annually
Mid level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develops and maintains configuration-controlled aircraft service bulletins for V-BAT systems. Translates engineering changes, safety concerns, inspections, corrective actions, and operational limitations into clear maintenance procedures. Collaborates with engineering, quality, manufacturing, flight-test, supply chain, and field-support teams; interprets drawings, schematics, BOMs, test data, and software releases; manages technical reviews, revisions, approvals, applicability, compliance requirements, and field communications.
Top Skills: Adobe Creative SuiteAdobe FramemakerArbortextAta Ispec 2200Change-Control SystemsConfiguration-Management SystemsDitaDocument-Control SystemsMS OfficeMil-Std-1808Mil-Std-38784Mil-Std-40051Plm SystemsRequirements-Management SystemsS1000DVisioXML
52 Minutes Ago
In-Office or Remote
United States
190K-290K Annually
Expert/Leader
190K-290K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead multi-year strategic planning and annual operating cycles, evaluate portfolio tradeoffs, build financial models for capital allocation, and translate strategy into cross-functional execution plans with KPIs. Conduct market sizing, competitive analysis, scenario modeling, and track performance through operating cadences to identify bottlenecks and recommend solutions.
Top Skills: AechelonHivemindV-BatX-Bat

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account