Business Technology Solutions Associate Consultant - AI Engineering

Posted Yesterday
Be an Early Applicant
3 Locations
Hybrid
Mid level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
Build and deploy AI and machine learning solutions using distributed computing, cloud platforms, data pipelines, and production-grade software engineering practices. Responsibilities include technical requirements analysis, feature development, testing, code reviews, agile collaboration, architecture validation, and prototyping emerging technologies. The role partners with data scientists, architects, client-facing teams, and clients to deliver scalable AI solutions and manage machine learning lifecycles.
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 Consultant 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:
  • Collaborate with client facing teams to understand solution context and contribute in technical requirement gathering and analysis
  • Design and implement technical features leveraging best practices for technology stack being used
  • Work with technical architects on the team to validate design and implementation approach
  • Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors
  • Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews
  • Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths
  • Uses bug tracking, code review, version control and other tools to organize and deliver work
  • Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies
  • Consistently contribute in researching & evaluating latest technologies through rapid learning, conducting proof-of- concepts and creating prototype solutions

What yo u'll bring
  • 3+ years of relevant hands-on experience.
  • CS foundation is must
  • Strong command over distributed computing framework like Spark (preferred) or others.
  • Strong analytical / problems solving
  • Ability to quickly learn and become hands on new technology and be innovative in creating solutions
  • Strong in at least one of the Programming languages - Python or Java, Scala, etc. and Programming basics - Data Structures
  • Hands on experience in building modules for data management solutions such as data pipeline, orchestration, ingestion patterns (batch, real time)
  • Experience in designing and implementation of solution on distributed computing and cloud services platform (but not limited to) - AWS, Azure, GCP
  • Good understanding of RDBMS, with some exp on ETL is preferred
  • 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

  • 3+ years of relevant hands-on experience
  • Computer science foundation
  • Strong command of Apache Spark or another distributed computing framework
  • Strong analytical and problem-solving skills
  • Ability to quickly learn new technologies and create innovative solutions
  • Strong proficiency in at least one programming language, such as Python, Java, or Scala
  • Knowledge of programming fundamentals and data structures
  • Hands-on experience building data management modules, including data pipelines, orchestration, and batch or real-time ingestion
  • Experience designing and implementing solutions on distributed computing and cloud service platforms such as AWS, Azure, or GCP
  • Good understanding of relational databases and some ETL experience
  • English fluency
  • Client-first mentality, strong work ethic, collaborative spirit, and problem-solving approach
  • Understanding of DevOps, CI/CD, data security, and cloud platform design
  • AWS Solutions Architect certification and understanding of the broader AWS stack
  • Knowledge of data modeling and data warehouse concepts
  • Willingness to travel to global offices, client sites, or internal project teams as needed
  • Work authorization for the intended country of employment
  • Complete online application and submit official or unofficial transcripts

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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About our Teams

ZS Offices

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.

Typical time on-site: 3 days a week
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