Lead 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 an AI Engineering Lead, you will be a driving force in shaping the future of AI operations within our organization. Your role involves not only being a subject matter expert in artificial intelligence operations but also building and mentoring a team of junior AI Ops Engineers. You'll be responsible for managing small teams of AI Ops experts, ensuring seamless integration of AI technologies into our operational processes.

What You’ll Do:

• Collaborate with technical stakeholders to define the AI strategy and objectives.
• Leading the development of AI strategies and roadmaps aligned with business goals and objectives.
• Design and implement end-to-end AI pipelines, from data ingestion to model deployment.
• Designing and developing complex machine learning algorithms including advanced techniques in deep learning, reinforcement learning, or other AI subfields.

• Lead and manage a team of junior AI Ops Engineers.
• Provide technical guidance, mentorship, and career development to the team.
• Foster a culture of continuous learning, innovation, and best engineering practices.
• Developing robust strategies for deploying AI models into production environments
• Implement best practices for model versioning, monitoring, and scalability.
• Collaborate with DevOps teams to integrate AI pipelines into CI/CD workflows.
• Oversee the seamless deployment of AI models into production environments.
• Lead Implementation of monitoring solutions to track model performance, detect data drift, and ensure data quality.
• Ownership of end-to-end AI design and Implementation from technology perspective
• Ensure robust security controls and compliance with industry standards (e.g., GDPR, HIPAA) for AI systems.
• Collaborate with legal and compliance teams to address regulatory requirements.
• Work closely with cross-functional engineering teams to understand operational requirements.
• Communicate effectively with technical leaders, project managers, and business stakeholders.
• Provide regular updates on project progress, performance, and technical roadblocks.

What You’ll Bring:

• A relevant Bachelors or higher-education degree in Computer Science, Data Science, or related fields.
• 5+ years of experience in the field of AI operations, machine learning, and DevOps.
• Proven leadership experience, preferably leading small teams of AI Ops engineers.
• 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).

• Excellent problem-solving, critical thinking, and analytical skills.
• Excellent communication, collaboration, and leadership skills.
• Familiarity with AI best practices, including model versioning, monitoring, and automated deployment.

• Ability to travel to other client offices or locations as needed.
• Fluency in English 
• Client-first mentality 
• Intense work ethic 
• Collaborative spirit and problem-solving approach 

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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 an AI Engineering Lead, you will be a driving force in shaping the future of AI operations within our organization. Your role involves not only being a subject matter expert in artificial intelligence operations but also building and mentoring a team of junior AI Ops Engineers. You'll be responsible for managing small teams of AI Ops experts, ensuring seamless integration of AI technologies into our operational processes.

What You’ll Do:

• Collaborate with technical stakeholders to define the AI strategy and objectives.
• Leading the development of AI strategies and roadmaps aligned with business goals and objectives.
• Design and implement end-to-end AI pipelines, from data ingestion to model deployment.
• Designing and developing complex machine learning algorithms including advanced techniques in deep learning, reinforcement learning, or other AI subfields.

• Lead and manage a team of junior AI Ops Engineers.
• Provide technical guidance, mentorship, and career development to the team.
• Foster a culture of continuous learning, innovation, and best engineering practices.
• Developing robust strategies for deploying AI models into production environments
• Implement best practices for model versioning, monitoring, and scalability.
• Collaborate with DevOps teams to integrate AI pipelines into CI/CD workflows.
• Oversee the seamless deployment of AI models into production environments.
• Lead Implementation of monitoring solutions to track model performance, detect data drift, and ensure data quality.
• Ownership of end-to-end AI design and Implementation from technology perspective
• Ensure robust security controls and compliance with industry standards (e.g., GDPR, HIPAA) for AI systems.
• Collaborate with legal and compliance teams to address regulatory requirements.
• Work closely with cross-functional engineering teams to understand operational requirements.
• Communicate effectively with technical leaders, project managers, and business stakeholders.
• Provide regular updates on project progress, performance, and technical roadblocks.

What You’ll Bring:

• A relevant Bachelors or higher-education degree in Computer Science, Data Science, or related fields.
• 5+ years of experience in the field of AI operations, machine learning, and DevOps.
• Proven leadership experience, preferably leading small teams of AI Ops engineers.
• 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).

• Excellent problem-solving, critical thinking, and analytical skills.
• Excellent communication, collaboration, and leadership skills.
• Familiarity with AI best practices, including model versioning, monitoring, and automated deployment.

• Ability to travel to other client offices or locations as needed.
• Fluency in English 
• Client-first mentality 
• Intense work ethic 
• Collaborative spirit and problem-solving approach 

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