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.

What you'll do:

Engineering Lead in the Technology wil:

Develop and deploy end to end AI solutions across various domains
Design and implement deep learning models including Transformers
Utilize large language models for diverse applications
Work with databases and vector databases to manage and analyze data
Leverage frameworks and packages for AI solution development
Implement AI solutions on cloud platforms like Azure and AWS
Develop containerized applications using Docker and other containerization tools
Automate and streamline processes using various tools and technologies
Contribute to projects involving AI driven solutions for enhanced efficiency and performance

What you'll bring:

Bachelor's degree in computer science, Engineering, or a related field
7+years of experience in AI and machine learning, specifically in computer vision, generative AI, and
NLP Proficiency in programming languages such as Python and C
Strong experience with deep learning and large language models
Familiarity with various databases and vector databases
Hands on experience with cloud services and containerization
Excellent problem-solving skills and ability to work in a team environment
Strong communication skills to interact with stakeholders and team members effectively
Certifications (Preferred): Relevant certifications in AI, machine learning, or related fields area plus.
Fluency in English
Client-first mentality
Intense work ethic
Collaborative spirit and problem-solving approach

Additional Skills

Strong verbal and written communication skills with ability to articulate results and issues to internal and client teams
Proven ability to work creatively and analytically in a problem-solving environmentAbility to work within a virtual global team environment and contribute to the overall timely delivery of multiple projects
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 , visit .

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. 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.

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