AI Sr Analyst - Supply Chain

ZS; Buenos Aires; Hybrid; ARS 138,998,000 - 200,775,000; Full time

Job summary

ZS is seeking an AI Sr Analyst in the Technology Service Area to lead end-to-end AI delivery for client projects. You’ll design architectures, guide implementation, and ensure technical readiness across Azure and AWS environments.

You’ll collaborate with data engineers, ontology specialists, and domain experts, mentoring delivery teams and leading client workshops to translate business needs into scalable AI solutions.

Qualifications

• Bachelor’s or Master’s degree in CS/IT or related field.
• 4+ years of AI/Software engineering experience.
• Hands-on AI/GenAI delivery experience with LLMs, RAG, and vector databases.
• Experience with AWS, Azure, or Databricks.
• API development using FastAPI or Django.
• Strong understanding of scalable design, security, and production deployments.
• Experience with Git, DevOps, SDLC, and Agile/Scrum.
• Excellent communication; able to explain technical concepts to stakeholders.
• Fluency in English.
• Client-first mentality, intense work ethic, collaborative spirit.

Responsibilities

• Partner with SCM stakeholders to identify AI use cases and define requirements.
• Lead end-to-end technical delivery from discovery to deployment.
• Design architectures linking enterprise data, Snowflake, cloud infra, AI services.
• Build and guide AI applications including generative AI assistants.
• Coordinate model access, permissions, and environment setup with IT and security.
• Evaluate architecture options for feasibility, security, scalability, cost.
• Establish engineering and AI evaluation practices for quality and monitoring.
• Translate SCM processes into practical technical designs with data engineers.
• Provide technical direction and review designs.
• Lead client workshops and architecture discussions with both tech and business audiences.
• Own delivery plans, dependencies, risks, and issue resolution.

Skills

AI Engineering

Software Engineering

API Development

Cloud Platforms

DevOps & SDLC

Agile/Scrum

Communication Skills

English Fluency

Client-focused

Team Collaboration

Education

Bachelor's or Master’s in CS/IT

Tools

Snowflake

Databricks

LLM APIs

Vector Databases

RAG

Agentic Workflows

Prompt Engineering

FastAPI

Django

Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side‑by‑side with a powerful collective of thinkers and experts shaping life‑changing solutions for patients, caregivers and consumers, worldwide. client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life‑changing impact to ZS.

What you’ll do?

AI Sr Analyst in the Technology Service Area will

• Partner with SCM 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 the implementation of AI applications, including generative AI assistants, retrieval-augmented generation, and agentic workflows where appropriate.
• Own technical readiness for AI delivery, 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 SCM 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; review solution designs and implementation quality.
• Lead client workshops, architecture discussions, and demonstrations, communicating clearly with both technical and business audiences.
• Own technical delivery plans, dependencies, risks, and issue resolution within the assigned scope.

What you’ll bring?

• Bachelor’s or Master’s Degree in Computer Science, Information Technology, or a related field.
• 4+ years of relevant experience, ideally in AI Engineering or Software Engineering
• Strong hands-on experience designing and delivering AI/GenAI solutions, with exposure to technologies and patterns such as RAG, Vector Databases, Agentic Workflows, Prompt Engineering, and LLM APIs.
• Experience with one or more cloud/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, SDLC, and Agile/Scrum methodologies.
• Strong communication skills and ability to translate complex technical concepts for both technical and business stakeholders.
• Fluency in English.
• Client-first mentality
• Intense work ethic
• Collaborative spirit and problem‑solving approach

How you’ll grow?

• Cross‑functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s‑curves, individual contribution and role expansions

Perks & Benefits?

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Argentina, visit ZS Argentina office locations | Where we work | ZS.

Hybrid working model?

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on‑site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face‑to‑face connections.

Travel?

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client‑facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.