Business Technology Solutions Associate - AI Engineering

Sorry, this job was removed at 02:55 p.m. (UTC) on Wednesday, Sep 09, 2026
3 Locations
Hybrid
Entry level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
Develop and scale generative AI applications, including RAG pipelines, answering engines, extraction tools, and content-authoring solutions. Build and optimize prompts, embeddings, vector databases, caching layers, and other GenAI components. Collaborate with data scientists and clients to deploy machine learning pipelines and manage the ML lifecycle using cloud platforms such as AWS, Azure, and GCP. Apply software engineering, DevOps, CI/CD, and distributed computing practices to create scalable, user-focused AI products.
Summary Generated by Built In
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. ZSers drive impact by bringing a 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.
Technology Group
ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem, in the Associate role, focused on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities.
Being part of Scaled AI practice allows you to collaborate with data scientists to create state-of-the-art AI models, create and use cutting-edge ML platforms, create and deploy advanced ML pipelines and manage the complete ML lifecycle.
What y ou'll do:
  • Experience in creating GenAI applications such as answering engines, extraction components, and content authoring.
  • Strong knowledge in developing RAG-based pipelines using frameworks like LangChain C LlamaIndex.
  • Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization.
  • Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques.
  • Skilled in creating prompts that efficiently guide LLMs to generate outputs meeting business requirements.
  • Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding.
  • Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time.
  • Must Have Skills: Python, AWS/Azure, Data Science, Gen AI tools (Azure Open AI, Langchain, vector DB), Software Engineering.
  • Good to Have: DevOps, CI/CD, Kubernetes. Product development Experience.

What yo u'll bring:
  • Technical Proficiency: Demonstrated expertise in Python, AWS/Azure, Data Science, and GenAI tools (including Azure OpenAI, LangChain, and Vector DB), along with a strong foundation in software engineering principles.
  • Advanced Skills in DevOps and CI/CD: Good to have experience in DevOps, Continuous Integration/Continuous Deployment (CI/CD), and Kubernetes is highly beneficial for enhancing product development and deployment processes.
  • Product Development Experience: A background in product development is advantageous, enabling you to contribute to the creation of scalable, user-centric AI solutions.
  • Ability to quickly adapt to new technology and be innovative in creating solutions
  • Strong in at leastone of the Programming languages - PySpark, Python or Java, Scala, etc. and Programming basics - Data Structures
  • Experience in designing and implementation of solution on distributed computing and cloud services platform AWS, Azure, GCP.
  • Fluency in English
  • Client-first mentality
  • Intense work ethic
  • Collaborative spirit and problem-solving approach

Additional Skills:
  • Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform
  • AWS Solutions Architect certification with understanding of broader AWS stack
  • Knowledge of data modeling and data warehouse concepts
  • Willingness to travel to other global offices as needed to work with client or other internal project teams

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 India , visit ZS India 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

  • Python, PySpark, Java, or Scala programming experience
  • Knowledge of data structures and programming fundamentals
  • Experience with Python, AWS or Azure, data science, and generative AI tools
  • Experience with Azure OpenAI, LangChain, and vector databases
  • Software engineering principles and practices
  • Experience designing and implementing solutions on distributed computing and cloud platforms
  • Experience creating generative AI applications and RAG-based pipelines
  • Experience with prompt engineering and optimization
  • Experience scaling GenAI applications for high user volume and large datasets
  • Fluency in English
  • DevOps, CI/CD, and Kubernetes experience
  • Product development experience
  • AWS Solutions Architect certification
  • Knowledge of data modeling and data warehouse concepts
  • Understanding of data security and cloud platform design
  • Willingness to travel to global offices and client locations

What the Team is Saying

Ash Easwar
Suzanne Boyan
Kristina Sambucci
Callum Brazier
Michelle Lu
Mike Vula
Mina Labib
Judith Kulich
Anna Simon
Rachana Late
Bazgha Qutab
Ayush Kataria
Carolina Blanco
Kumar Ritwik
Emily Reynolds
Mahmood Majeed
Mahmood Majeed
Bazgha Qutab
Mahmood Majeed

ZS Compensation & Benefits Highlights

  • Healthcare Strength Medical through UMR/UnitedHealthcare with CVS Caremark, fully covered vision exams with an eyewear allowance, robust dental (including orthodontia), and multiple mental‑health options (Talkspace, Bend Health, EAP) indicate a broad, high‑quality package. Additional programs like Sword for musculoskeletal care and company‑paid life and disability coverage further reinforce the depth of health protections.
  • Parental & Family Support Family‑forming and hormonal‑health coverage via Carrot is described up to $95,000, alongside adoption support, backup care for children/elders/pets, and Milk Stork for business‑traveling parents. Paid family leave is outlined at 10 weeks, with birth mothers potentially reaching up to 16 weeks when combined with the Family Leave Program.
  • Leave & Time Off Breadth Vacation starts at 15 days per year and increases to 20 days after 36 months, paired with 11 company holidays and a floating holiday. Sick leave with rollover and bereavement provisions add practical flexibility around time away.

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The Company
HQ: Evanston, IL
15,000 Employees
Year Founded: 1983

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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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.

Typical time on-site: 3 days a week
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