Engineer Specialist - Architecture & Engineering EC - TC26 (Evanston, IL)

Posted 4 Hours Ago
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Evanston, IL, USA
Hybrid
158K-185K Annually
Mid level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
Design, deploy, and lead scalable AI/ML solutions and data engineering efforts for life sciences clients. Mentor teams, ensure architecture and coding best practices, support business development, and collaborate with clients on implementation and strategy.
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.
Engineer Specialist - Architecture & Engineering EC - TC26 (Evanston, IL)
Salary: $158,000 - $185,000 per year
Location: Evanston, IL and various, unanticipated locations throughout the United States.
Benefits: Comp package offers min/max salary + COLA, leave policies, bonus incentives, relo, med/den/life ins, retirement benefits.
Job Role and Responsibilities: ZS's Architecture & Engineering EC practice focuses on developing, building, and managing scalable technology architectures, particularly within the life sciences and healthcare industries, to support business growth, innovation, and client deliverables. Job Duties: Develop and deploy complex technology solutions that meet clients' objectives, with a strong emphasis on artificial intelligence (AI) and machine learning (ML). Stay current on latest technology platform offerings, emerging technologies and its domain specific applications, industry trends, and solution patterns. Contribute to developing POVs and conducting market scans for strategic decision making, drafting CXO memos and guiding project teams on best practices and implementation patterns. Provide effective contributions to business development pursuits spanning solution approach & alternatives. Lead a team of developers to enable effective data engineering, data analysis, and reporting. Provide highest quality of deliverables by ensuring team is following architecture/design guidelines and coding best practices. Mentor junior practitioners through coaching & project level guidance. Collaborate closely with clients to understand their challenges/goals, quality metrics, and IT standards and deliver outcomes aligned to client expectations. Effectively communicate technical concepts and solutions with client/project stakeholders. May work at various, unanticipated locations throughout the United States.
Contact: Apply online or contact ZS at [email protected] referencing the Req ID above. Position eligible for Employee Referral Program (with incentives). Multiple openings.
Qualifications: Master's degree, or foreign degree equivalent, in Computer Science, Engineering, Information Technology, Information Systems or a related field and 3 years of experience in the job offered or in a technology or architectural engineering or consulting-related role. Alternatively, employer will accept a Bachelor's degree, or foreign degree equivalent, in Computer Science, Engineering, Information Technology, Information Systems or a related field and 5 years of progressive, post-baccalaureate experience in the job offered or in a technology or architectural engineering or consulting-related role.
Position requires experience with the following:
1. Mentoring a technical team on Generative AI (GenAI) and machine learning (ML) projects;
2. Client-facing experience;
3. Building and automating data pipeline, orchestration, and ingestion processes;
4. ML platform Dataiku, Sagemaker, MLFlow and similar to streamline the ML lifecycle, from data preparation and model development to deployment and monitoring;
5. AWS, Azure and GCP for deploying models to cloud services;
6. Data processing and analytics platforms including Databricks, Snowflake, PySpark and DBT; and
7. Business development activities, including drafting RFP responses, effort estimation, and resource loading.
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 United States , visit ZS US 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
#LI-DNI
Salary: $158,000.00 - $185,000.00

Skills Required

  • Master's degree in Computer Science, Engineering, IT, Information Systems or related field and 3 years experience in the job offered or related role, OR Bachelor's degree and 5 years progressive post-baccalaureate experience
  • Mentoring a technical team on Generative AI and machine learning projects
  • Client-facing experience
  • Building and automating data pipeline, orchestration, and ingestion processes
  • Experience with ML platforms such as Dataiku, SageMaker, MLflow (or similar)
  • Experience deploying models to cloud services: AWS, Azure, GCP
  • Experience with data processing and analytics platforms including Databricks, Snowflake, PySpark, and DBT
  • Business development activities including drafting RFP responses, effort estimation, and resource loading
  • Ability to possess or obtain work authorization for intended country of employment

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 Comprehensive medical, dental and vision coverage is paired with mental-health support via Workplace Options, with caregiving supports through partners like Bright Horizons and Milk Stork. The health plan is presented as a standout perk in the package.
  • Parental & Family Support Family-forming support spans fertility, adoption and surrogacy assistance, alongside paid Family Leave of 10 weeks plus an additional 6 weeks paid maternity leave for birth mothers (up to 16 weeks). Services like Milk Stork and back-up care strengthen support for caregiving and travel needs.
  • Inclusive Benefits Coverage Published LGBTQIA+-inclusive benefits include transgender-inclusive care and HIV services, plus domestic-partner eligibility. Inclusive policies are explicitly documented across U.S. benefits materials.

ZS Insights

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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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