Position Summary...What you'll do...Sr. Manager - Agentic AI Solution LeadRole SummaryThe Agentic AI Solution Lead owns
end-to-end agentic AI solutions that convert Data Science-generated intelligence into
automated, production-grade decisions and recovery workflows across Last-Mile Delivery. This role is accountable for
what actions agents take, when they take them, how aggressively they operate, and whether those actions deliver measurable business impact.
While this role does not build ML models or RCA intelligence, it
owns the automated decisions that act on those signals, including their rollout, tuning, and real-world outcomes. Think of this role as the
decision and orchestration owner for self-healing operational systems.
Scope of OwnershipThis role owns: - Decision policies and automation logic
- Agentic workflow orchestration and sequencing
- Human-in-the-loop and escalation design
- Rollout strategy, experimentation, and production iteration
- Business KPIs, outcome tracking, and regret management
This role does not own: - ML model development or RCA intelligence generation
- Feature engineering or model training pipelines
- Core platform or orchestration infrastructure
- Long-term runtime SLAs and on-call ownership
Key ResponsibilitiesEnd-to-End Solution Ownership
- Own agentic AI solutions from idea → implementation → production → continuous iteration
- Translate RCA outputs (probabilities, confidence scores, root-cause hypotheses) into clear, executable actions
- Determine when to automate versus when to escalate to human operators
- Own the full lifecycle of every automated decision, from initial deployment through ongoing optimization
Decision Policy & Tradeoff Management
- Design decision policies that balance:
- Customer promise and SLA adherence
- Driver experience, fairness, and trust
- Cost-to-serve and operational efficiency
- Define automation thresholds, confidence cutoffs, and safety guardrails
- Manage false positives, false negatives, and downstream or second-order effects
- Proactively pause, tune, or roll back automation when outcomes do not meet expectations
Workflow Orchestration & Delivery
- Implement agentic workflows using approved orchestration patterns and frameworks
- Leverage simulation, replay, and shadow-mode capabilities to validate behavior prior to full rollout
- Drive staged deployments, controlled experiments, and progressive automation
- Ensure automated decisions are explainable, observable, and trusted by Operations teams
Accountability & Continuous Improvement
- Own production KPIs tied to self-healing and automation outcomes
- Monitor live agent performance and intervene when needed
- Reduce manual interventions through effective and responsible automation
- Continuously refine decisions based on real-world data, feedback, and outcomes
Cross-Functional Leadership
- Act as the single accountable owner when automated systems misbehave or underperform
- Partner closely with:
- Data Science (RCA intelligence, confidence evaluation)
- Operations (pain points, adoption, trust)
- Global Tech (scaling, reliability, and platform alignment)
- Influence without authority and drive clarity in ambiguous, fast-moving environments
Required Qualifications- 10+ years in roles such as:
- Technical Product Management (decision-heavy systems)
- Solutions Architecture or Solutions Engineering
- Operations Automation or Platform Leadership
- Engineering leadership with strong business ownership
- Proven experience owning automated or rules-based systems in production
- Strong intuition for business and operational tradeoffs
- Comfort working with probabilistic signals and imperfect information
- Demonstrated ability to make decisions with incomplete data and own the outcome
Preferred Qualifications- Experience in logistics, marketplaces, or large-scale operational systems
- Prior exposure to automation platforms, workflow engines, or decision systems
- Experience partnering with Data Science teams that provide intelligence consumed by automation
- Familiarity with incident management, recovery workflows, or self-healing systems
What Success Looks Like- Clear, reliable automated actions triggered by RCA intelligence
- Faster detection, decisioning, and recovery from operational issues
- Measurable reduction in manual intervention
- Improved SLA adherence, cost stability, and operational efficiency
- High trust from Operations and Technology teams in automated decisions
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.
The annual salary range for this position is $110,000.00 - $220,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...802 Respect Dr, Bentonville, AR 72716, United States of America
