Z

ZS

Global management consulting for sales optimization

AI / GenAI Engineering Lead

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeWarsaw, PolandNo salary listedHybrid

About the Job

Requirements

  • Significant hands-on experience in software engineering, artificial intelligence engineering, machine learning engineering or generative AI delivery.
  • Strong Python development skills and sound software-engineering fundamentals.
  • Demonstrable experience building generative AI or agentic AI applications beyond isolated prototypes.
  • Experience designing complex agentic workflows or multi-agent systems.
  • Practical understanding of tool and function calling, stateful workflows, agent routing, delegation, memory and context management.
  • Experience using agent orchestration frameworks such as LangGraph, LangChain or comparable technologies.
  • Experience integrating AI applications with enterprise APIs, databases, systems and external tools.
  • Experience building retrieval-augmented generation or enterprise knowledge-retrieval solutions.
  • Understanding of embeddings, vector search, document processing and grounding.
  • Experience defining test cases and evaluating agentic or large-language-model-based applications.
  • Understanding of production-quality engineering, including Docker, continuous integration and continuous delivery, automated testing, logs, monitoring and observability.
  • Experience deploying and operating cloud-based applications.
  • Solid SQL, API, data-pipeline and structured/unstructured data-processing foundations.
  • Understanding of security, governance and responsible-AI requirements for enterprise applications.
  • Ability to drive implementation independently while working effectively with architects, engineers, data scientists and business stakeholders.
  • Strong professional English for collaboration across European teams and client environments.
  • Candidates must possess or be able to obtain work authorization for their intended country of employment.

Responsibilities

  • Design, build and deploy production-grade generative AI and agentic AI applications.
  • Develop multi-agent systems covering orchestration, routing, delegation, tool calling, state management, memory and human-in-the-loop patterns.
  • Build agentic workflows using frameworks such as LangGraph, LangChain or equivalent orchestration technologies.
  • Develop and deploy AI workloads on AWS using relevant generative AI and cloud-native services.
  • Integrate AI agents with enterprise APIs, applications, structured and unstructured data, and business workflows.
  • Build retrieval-augmented generation and enterprise knowledge-retrieval capabilities.
  • Design robust agent workflows with retries, fallback logic, checkpointing, error handling and recovery.
  • Build evaluation and automated-testing approaches covering task completion, tool-use accuracy, groundedness, quality and regression.
  • Apply sound software-engineering practices, including modular design, code review, version control and automated testing.
  • Establish deployment practices using containerisation, continuous integration and continuous delivery, infrastructure as code, monitoring and observability.
  • Implement security, access, traceability and audit controls appropriate for enterprise and regulated environments.
  • Monitor agent behaviour, workflow execution, latency, reliability, quality and operating cost.
  • Contribute to high-level and low-level solution design and technical architecture reviews.
  • Define reusable agentic architecture patterns, reference implementations and engineering standards.
  • Collaborate with technical and non-technical stakeholders to turn ambiguous requirements into deliverable solutions.
  • Participate, where required, in short European client engagements.

Desired Qualifications

  • Experience with AWS AI services, including Amazon Bedrock or related generative AI services.
  • Experience with Amazon Bedrock AgentCore, AWS Strands Agents or equivalent technologies.
  • Experience with other agent frameworks such as Semantic Kernel, AutoGen or CrewAI.
  • Experience designing reusable multi-agent architecture patterns.
  • Experience delivering AI solutions within life sciences, pharmaceuticals, financial services or another regulated industry.
  • Experience with Kubernetes, Helm or other cloud-native deployment technologies.
  • Experience with machine-learning or large-language-model lifecycle tooling such as MLflow.
  • Experience with monitoring platforms such as Prometheus, Grafana or cloud-native tracing services.
  • Familiarity with classical machine learning or large-scale data-processing tools such as Spark.
  • Fluency in English.

About the Company

ZS

Global management consulting for sales optimization

ZS Associates helps organizations optimize their sales and marketing operations through data-driven analytics. The company uses mathematical models and rigorous analysis—originating from Kellogg professors in the 1980s—to size and structure sales teams, design territories, forecast markets, manage data, and design incentive compensation. Its services are delivered as consulting engagements that translate complex analytics into practical business decisions, such as how many salespeople a company needs, how to assign territories, and how to align incentives to drive performance. ZS differentiates itself with a deep, methodical focus on analytics, built from decades of experience and applied across industries beyond its pharmaceutical roots. The company’s goal is to help clients improve performance and return on investment by turning data into actionable sales and marketing solutions.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Evanston, IL
Founded
1983

Recently Posted Jobs

Explore more opportunities at ZS

See more jobs