R-2501249

Job description

About the team Our team operates at the intersection of software engineering, data, AI systems, and rapid experimentation. We build platforms that enable intelligent automation at scale, ranging from agent orchestration to customer-facing AI systems. We emphasize iteration speed, practical impact, and systems that learn from usage. The work often involves ambiguous problem spaces where we define patterns as we build them.

What You'll Do

Partner with business, product and engineering teams to deeply understand the problem. Rapid prototype, design, implement, test, evaluate, deploy and improve software solutions that solves challenging business and technical problems. Use agentic coding tools , frameworks and techniques such as MCP, A2A, ADK, and frameworks to accelerate how solutions are developed, tested, and iterated. Contribute to agent evaluation frameworks (offline + online) to measure quality, reliability, and system behavior.

Improve outcomes through feedback-driven workflows using real-world signals Contribute to multi-agent workflows with coordination, delegation, and dynamic task execution. Ensure operational excellence and build observability, debugging, and traceability in AI-driven systems. Contribute to shaping practices for AI-native application development. Contribute to knowledge sharing and training of the rest of the organization on AI-native application development.

What You'll Bring

Expertise in using Agentic coding tools and frameworks to build production systems. Comfort working in open-ended problem spaces with evolving requirements Experience working with structured data, workflows, or technical tools, with an emphasis on building high quality, scalable solutions. Ability to work across technical and non-technical teams to translate needs into practical outcomes. Strong ownership mindset with a focus on shipping, learning, and improving systems continuously.

Bonus / Signals we value Expertise working on agent workflows, orchestration layers, and evaluation processes. Familiarity with protocol-driven systems (e.g., MCP or similar abstractions Interest in deeply understanding business problems, rapid prototyping, and end-to-end, full stack development Track record of building solutions quickly and iterating based on real feedback. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet.

Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.

Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart .

Bentonville, Arkansas US-10735

The annual salary range for this position is $90,000.00 - $180,000.00 Bellevue, Washington US-11075: The annual salary range for this position is $108,000.00 - $216,000.00 Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include : - Stock

Qualifications

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.