Senior Associate Consultant Engineer - AI

ZS; Warszawa; Hybrid; PLN 80,000 - 100,000; Full time

Benefits offered by this job

Comprehensive total rewards package

Flexible and connected working environment

Professional development opportunities

Job summary

ZS in Warsaw, Poland is looking for a Senior AI Engineer to design, implement, and optimize AI pipelines. The role focuses on integrating artificial intelligence into operational processes and leading a team of junior engineers.

Ideal candidates will have a relevant degree, a minimum of 4 years' experience, and strong skills in Python, SQL, and AI technologies. Benefits include a hybrid work model and a comprehensive rewards package.

Qualifications

• Minimum of 4 years of professional experience in AI Ops, machine learning, and DevOps.
• Preferred certifications in AI, machine learning, and cloud platforms.
• Proven track record of designing, implementing, and optimizing end-to-end AI pipelines.

Responsibilities

• Design, implement, and optimize end-to-end AI pipelines.
• Collaborate with data scientists and DevOps teams.
• Implement monitoring solutions to track model performance.
• Lead and mentor junior AI Ops Engineers.

Skills

Python

SQL

AI libraries (e.g., TensorFlow, PyTorch)

Cloud platforms (e.g., AWS, GCP)

Containerization (Docker, Kubernetes)

Problem-solving

Leading small teams

Fluency in English

Education

Bachelor’s or higher in Computer Science, Data Science, or related fields

Job description

The 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.

• 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 Bachelor’s 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.

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.

Inclusion

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.

Equal Employment Opportunity Statement

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.