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.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
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.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
Skills Required
- 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
- Hands-on experience designing and delivering AI or generative AI solutions
- Experience with RAG, vector databases, agentic workflows, prompt engineering, and LLM APIs
- Experience with AWS, Azure, or Databricks
- Experience developing and integrating APIs using FastAPI, Django, or similar frameworks
- 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 with technical and business stakeholders
- Fluency in English
- Client-first mentality, intense work ethic, collaborative spirit, and problem-solving approach
ZS Compensation & Benefits Highlights
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Healthcare Strength — Health insurance is described as comprehensive, spanning medical, dental, vision, mental‑health resources, and dependent coverage. Low out‑of‑pocket costs are commonly highlighted as a strong point.
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Parental & Family Support — Paid family leave, family‑planning support, backup care for dependents, and breast‑milk delivery for traveling parents are part of the package. These offerings indicate meaningful support for growing families.
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Leave & Time Off Breadth — Full‑time U.S. employees accrue 15 vacation days from hire, rising to 20 after 36 months, plus sick time, 11 paid holidays, and a floating holiday. The structure presents a clear path to additional time off with tenure.
ZS Insights
What We Do
ZS is a management consulting and technology firm that partners with companies to improve 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. Founded in 1983, ZS has more than 15,000+ employees in over 40 offices worldwide.
Why Work With Us
ZS is home to passionate people who embrace innovative thinking, collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated, curiosity is welcomed, learning opportunities are abundant and colleagues become lifelong connections.
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ZS Teams
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.













































































