Senior Manager, Software Engineering

Position Summary...

What you'll do...

The Walmart Healthcare Research Institute (WHRI) is building a modernized AI/ML and multi-agent infrastructure to deliver next-generation healthcare research and real-world evidence (RWE) solutions. Our mission is to transform healthcare insights by integrating AI-enabled structured authoring, agentic orchestration, and advanced analytics across Walmart’s vast healthcare ecosystem — from retail pharmacy and clinical services to third-party research collaborations with biopharma and biotech organizations.

We are seeking a Senior Manager, AI/ML Software Engineering to lead the development of our AI-Enabled Structured Authoring and Business Experience Strategy and Agentic & Multi-Agent Enabled End-to-End Operational Delivery Strategy. This role will architect and implement intelligent, scalable, and explainable agentic systems that power healthcare research insights and real-world evidence workflows — enabling automated knowledge synthesis, study execution, and delivery pipelines.

You’ll collaborate closely with a Senior Data Scientist and cross-functional experts to bridge engineering, data science, and healthcare research, ensuring that our AI systems adhere to the highest standards of performance, ethics, and interoperability.

*Please note: This job is available in Bentonville, AR location only and no current or future sponsorship is available. Candidates who do not need sponsorship are strongly encouraged to apply.
 

What You’ll Do

• Architect and Lead Development of AI-enabled structured authoring systems and multi-agent orchestration pipelines for RWE and healthcare research delivery.
• Implement agentic and multi-agent frameworks using SLMs, LLMs, RAG, NLU/NLG models, MCP, and agent-to-agent communication protocols.
• Build the Agentic Master Orchestrator infrastructure to coordinate task distribution, model interoperability, and real-time insight generation across research domains.
• Partner with the Senior Data Scientist to design and operationalize ML models supporting semantic mapping, predictive analytics, and evidence synthesis.
• Drive end-to-end system integration — from data ingestion and preprocessing to analytics execution, interpretation, and delivery.
• Ensure all AI/ML implementations align with governance, provenance, and explainability standards for trusted-grade RWE outputs.
• Collaborate with internal stakeholders (e.g., data scientists, engineers, clinicians, researchers) and external partners (biopharma, CROs) to align system design with business and research objectives.
• Establish code quality, documentation, versioning, DevOps, MLOps, AgentOps, and CI/CD best practices for AI pipelines within secure, compliant cloud environments (Azure/GCP preferred).
• Mentor software engineers and contribute to WHRI’s AI/ML talent development strategy.

What You’ll Bring

• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field (Ph.D. preferred).

• Experience:
  • 8+ years in software engineering with 3+ years leading AI/ML-driven projects.
  • Proven experience designing and deploying multi-agent systems, large language model (LLM) pipelines, and retrieval-augmented generation (RAG) architectures.
  • Deep understanding of NLP (NLU/NLG), vector databases (FAISS, Milvus, Weaviate), and orchestration frameworks (LangChain, Microsoft Agent Framework, Anthropic Petri, or equivalent).
  • Experience in healthcare, life sciences, or regulated data environments (HIPAA, GxP, FDA, EMA).

• Technical Skills:
  • Strong in Python, JavaScript/TypeScript, Node.js, and modern backend frameworks.
  • Expertise in RESTful APIs, GraphQL, JSON schema design, and microservices architecture.
  • Familiarity with Azure ML, Vertex AI, and CI/CD/MLOps/AgentOps/DevOps practices.
  • Experience working with healthcare datasets (claims, EMR/EHR, pharmacy, registries), ontologies (MeSH, OBO, DO, UMLS) and coding systems (ICD-10/11, SNOMED CT, LOINC, CPT/HCPCS, GPI, RxNorm) is highly desirable.

• Soft Skills:
  • Demonstrates communication and leadership skills by conveying complex information in an understandable manner.
  • Strategic thinker capable of bridging technical and business objectiv