Z

ZS

Global management consulting for sales optimization

AI Lead – Supply Chain

AI Application EngineeringPosted on Nov 11
Full-timeBuenos Aires, ArgentinaNo salary listedHybrid

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Information Technology, or a related field.
  • At least 7 years of relevant experience, ideally in AI Engineering or Technical Leadership.
  • Strong hands-on experience designing and delivering AI or generative AI solutions, with exposure to retrieval-augmented generation, vector databases, agentic workflows, prompt engineering, and large language model APIs.
  • Experience with one or more cloud or data platforms, such as AWS, Azure, or Databricks.
  • Experience developing and integrating APIs using frameworks such as FastAPI or Django.
  • Strong understanding of scalable application design, production deployments, security, testing, and software engineering best practices.
  • Experience with Git, DevOps practices, software development life cycle, and Agile/Scrum methodologies.
  • Fluency in English.
  • Ability to translate complex technical concepts for technical and business stakeholders.
  • Candidates must possess or be able to obtain work authorization for their intended country of employment.
  • An online application, including a full set of official or unofficial transcripts, is required for consideration.

Responsibilities

  • Partner with supply chain management stakeholders to identify business needs, prioritize AI use cases, and define solution requirements and success criteria.
  • Lead end-to-end technical delivery, from discovery and architecture design through development, testing, deployment, and operational handover.
  • Design architectures connecting enterprise data, Snowflake, cloud infrastructure, AI services, and business applications across Azure and/or AWS environments.
  • Build and guide implementation of AI applications, including generative AI assistants, retrieval-augmented generation, and agentic workflows where appropriate.
  • Own technical readiness for AI delivery by coordinating approved model access, platform permissions, service accounts, connectivity, and environment setup with IT and security teams.
  • Evaluate architecture options and explain trade-offs involving feasibility, security, scalability, reliability, performance, and cost.
  • Establish engineering and AI evaluation practices covering code quality, testing, output quality, monitoring, and human oversight.
  • Translate supply chain management processes and constraints into practical technical designs, working closely with data engineers, ontology specialists, and domain experts.
  • Provide technical direction and mentoring to delivery teams, and review solution designs and implementation quality.
  • Lead client workshops, architecture discussions, and demonstrations, communicating with technical and business audiences.
  • Own technical delivery plans, dependencies, risks, and issue resolution within the assigned scope.
  • Travel as needed for client-facing work.

Desired Qualifications

  • Exposure to retrieval-augmented generation, vector databases, agentic workflows, prompt engineering, and large language model APIs.
  • Experience in AI Engineering or Technical Leadership is preferred.

About the Company

ZS

Global management consulting for sales optimization

ZS Associates helps organizations optimize their sales and marketing operations through data-driven analytics. The company uses mathematical models and rigorous analysis—originating from Kellogg professors in the 1980s—to size and structure sales teams, design territories, forecast markets, manage data, and design incentive compensation. Its services are delivered as consulting engagements that translate complex analytics into practical business decisions, such as how many salespeople a company needs, how to assign territories, and how to align incentives to drive performance. ZS differentiates itself with a deep, methodical focus on analytics, built from decades of experience and applied across industries beyond its pharmaceutical roots. The company’s goal is to help clients improve performance and return on investment by turning data into actionable sales and marketing solutions.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Evanston, IL
Founded
1983

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