(can) Solution Consultant II

Walmart Walmart · Retail · Mississauga, ON

Solution Consultant II role focused on hands-on development, technical guidance, and implementation of best practices in modern AI-driven development approaches, including Generative AI and Agentic development. The role involves building and scaling test automation, contributing to design and code reviews, providing technical guidance on architecture and standards, troubleshooting, building scalable systems, designing/building/deploying applications on GCP, working with cloud-native patterns, contributing to CI/CD and IaC, and supporting cloud performance optimization. It also involves contributing to use cases leveraging LLMs, Generative AI, and agent-based workflows, assisting in building and integrating agentic solutions, and partnering with data science/engineering teams to integrate AI capabilities. Requires full-stack expertise, GCP experience, and exposure to AI/ML concepts.

What you'd actually do

  1. This role focuses on hands-on development, technical guidance, and implementation of best practices across coding standards, security, automation, and modern AI-driven development approaches.
  2. This is a highly hands-on role requiring strong full-stack expertise, working knowledge of GCP, and exposure to Generative AI / Agentic development.
  3. The role also contributes to building and scaling test automation practices, while collaborating closely with cross-functional teams.
  4. Contribute to use cases leveraging LLMs, Generative AI, and agent-based workflows.
  5. Assist in building and integrating agentic solutions (multi-step workflows, automation, orchestration).

Skills

Required

  • Full-stack development experience (frontend + backend + APIs)
  • Google Cloud Platform (GCP) (e.g., Compute, Kubernetes, BigQuery, Storage)
  • microservices architecture
  • distributed systems
  • API design
  • Java
  • Python
  • Node.js
  • CI/CD
  • DevOps
  • automation tools
  • Agile development environments

Nice to have

  • Basic to intermediate understanding of LLMs, Generative AI, or AI/ML concepts
  • Exposure to building or integrating AI-driven features
  • Data engineering or data science exposure

What the JD emphasized

  • hands-on development
  • highly hands-on role
  • Generative AI
  • Agentic development
  • LLMs
  • agent-based workflows
  • agentic solutions

Other signals

  • Generative AI
  • Agentic development
  • LLMs
  • agent-based workflows
  • agentic solutions