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Engineer Specialist – Architecture & Engineering EC - TC; Evanston, IL

Job in Evanston, Cook County, Illinois, 60208, USA
Listing for: Zs Associates
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 158000 - 185000 USD Yearly USD 158000.00 185000.00 YEAR
Job Description & How to Apply Below
Position: Engineer Specialist – Architecture & Engineering EC - TC26 (Evanston, IL)

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  referencing the Req . 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.

Required

Experience
  • Mentoring a technical team on Generative AI (GenAI) and machine learning (ML) projects;
  • Client‑facing experience;
  • Building and automating data pipeline, orchestration, and ingestion processes;
  • ML platform Dataiku, Sagemaker, MLFlow and similar to streamline the ML lifecycle, from data preparation and model development to deployment and monitoring;
  • AWS, Azure and GCP for deploying models to cloud services;
  • Data processing and analytics platforms including Databricks, Snowflake, PySpark and DBT;
  • 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
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