Senior Associate Consultant Engineer - AI

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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.

Role Description

As a Senior AI Engineer, you will be responsible for designing, implementing, and optimizing end-to-end AI pipelines to drive innovation and efficiency through the seamless integration of artificial intelligence (AI) into operational processes. Your role involves ensuring the successful deployment, monitoring, and maintenance of AI models, and mentoring and building a team of junior AI Engineers.

What You’ll Do:

• Collaborate with data scientists, machine learning engineers, and DevOps teams to create robust, scalable, and reliable AI pipelines.
• Design, Develop and maintain automated processes for model training, deployment, and inference, ensuring best practices for model versioning, monitoring, and automated scaling.
• Implement infrastructure as code (IaC) principles to create reproducible AI environments and integrate AI pipelines into continuous integration and continuous deployment (CI/CD) workflows.

• Ensure seamless and secure deployment of AI models into production environments.
• Implement monitoring solutions to track model performance, detect data drift, and maintain data quality.
• Design and implement deep learning algorithms and neural networks for tasks such as image recognition, natural language processing (NLP), and speech recognition.
• Troubleshoot and optimize AI pipelines for efficiency, reliability, and compliance with industry standards (e.g., GDPR, HIPAA).
• Lead and mentor a team of junior AI Ops Engineers, providing technical guidance on AI Ops frameworks, deployment strategies, and observability.
• Foster a culture of continuous learning and innovation within the team, encouraging the exploration of new technologies and best practices.
• Collaborate with business stakeholders to understand AI project objectives and communicate progress and performance effectively.

What You’ll Bring:

• A relevant Bachelors or higher-education degree in Computer Science, Data Science, or related fields.
• Minimum of 4 years of professional experience in AI Ops, machine learning, and DevOps.
• Preferred certifications in AI, machine learning, and cloud platforms (e.g., AWS, Azure, GCP).
• Proficiency in Python, SQL, and relevant AI libraries (e.g., TensorFlow, PyTorch).
• Familiarity with cloud platforms (e.g., GCP, AWS) and containerization (Docker, Kubernetes).
• Strong problem-solving skills and ability to work in a collaborative environment.
• Proven track record of designing, implementing, and optimizing end-to-end AI pipelines.
• Demonstrated leadership experience, preferably leading small teams of engineers.
• Strong communications skills and fluency in English

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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 Poland, visit ZS Poland 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

As a Senior AI Engineer, you will be responsible for designing, implementing, and optimizing end-to-end AI pipelines to drive innovation and efficiency through the seamless integration of artificial intelligence (AI) into operational processes. Your role involves ensuring the successful deployment, monitoring, and maintenance of AI models, and mentoring and building a team of junior AI Engineers.

What You’ll Do:

• Collaborate with data scientists, machine learning engineers, and DevOps teams to create robust, scalable, and reliable AI pipelines.
• Design, Develop and maintain automated processes for model training, deployment, and inference, ensuring best practices for model versioning, monitoring, and automated scaling.
• Implement infrastructure as code (IaC) principles to create reproducible AI environments and integrate AI pipelines into continuous integration and continuous deployment (CI/CD) workflows.

• Ensure seamless and secure deployment of AI models into production environments.
• Implement monitoring solutions to track model performance, detect data drift, and maintain data quality.
• Design and implement deep learning algorithms and neural networks for tasks such as image recognition, natural language processing (NLP), and speech recognition.
• Troubleshoot and optimize AI pipelines for efficiency, reliability, and compliance with industry standards (e.g., GDPR, HIPAA).
• Lead and mentor a team of junior AI Ops Engineers, providing technical guidance on AI Ops frameworks, deployment strategies, and observability.
• Foster a culture of continuous learning and innovation within the team, encouraging the exploration of new technologies and best practices.
• Collaborate with business stakeholders to understand AI project objectives and communicate progress and performance effectively.

What You’ll Bring:

• A relevant Bachelors or higher-education degree in Computer Science, Data Science, or related fields.
• Minimum of 4 years of professional experience in AI Ops, machine learning, and DevOps.
• Preferred certifications in AI, machine learning, and cloud platforms (e.g., AWS, Azure, GCP).
• Proficiency in Python, SQL, and relevant AI libraries (e.g., TensorFlow, PyTorch).
• Familiarity with cloud platforms (e.g., GCP, AWS) and containerization (Docker, Kubernetes).
• Strong problem-solving skills and ability to work in a collaborative environment.
• Proven track record of designing, implementing, and optimizing end-to-end AI pipelines.
• Demonstrated leadership experience, preferably leading small teams of engineers.
• Strong communications skills and fluency in English

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 Poland, visit ZS Poland 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