Position Summary...
What you'll do...
Sr. Manager - Agentic AI Solution Lead
Role Summary
The 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 Ownership
This 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 Responsibilities
End-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 (https://one.walmart.com/) .
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 :
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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
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.