Senior AI Engineer

zealandpharma

Søborg

On-site

DKK 900,000 - 1,400,000

Full time

4 days ago
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Job summary

Zealand Pharma seeks a Senior AI Engineer to lead how AI agents come to life, running our Claude platform and building the developer platform for secure, enterprise-grade agentic AI. You will partner with business teams to turn ideas into measurable use cases and help shape the Data & AI journey.

You will design and evolve platforms, expose enterprise data to agents, and mentor colleagues while advancing secure, production-ready solutions.

Qualifications

  • Experience designing, building and operating production platforms or shared services.
  • Hands-on with enterprise APIs and system integrations.
  • Strong Python proficiency; .NET experience is a plus.

Responsibilities

  • Run and evolve the Claude platform in daily operation, including configuration, connectors, monitoring and user support.
  • Design, build and operate the developer platform capabilities enabling agentic AI with model access, MCP servers and tooling.
  • Build and maintain connectors to expose enterprise systems, documents and data to agents with secure data access.
  • Provide a paved road for teams via SDKs, templates, CI/CD and documentation, plus observability and guardrails.
  • Engage business stakeholders to qualify demand, build value cases and deliver reference use cases.
  • Collaborate with Cloud Infra and Cyber Security teams on secure-by-design solutions.

Skills

Platform engineering
Agentic AI
CI/CD pipelines
Security awareness
Stakeholder communication

Tools

Python
.NET
Azure
React
MCP protocol

Job description

Your new position

As our Senior AI Engineer you will play a leading role in shaping how AI agents come to life at Zealand Pharma - from running and evolving our Claude platform day-to-day, to building the developer platform and connectors that let agentic AI safely tap into our enterprise systems and data. You'll set the paved road for teams building on top of it, partner closely with the business to turn great ideas into proven use cases, and help define where our Data & AI journey goes next.


We offer exciting responsibilities:


  • Run and evolve our Claude platform in daily operation, covering technical Claude skills, configuration, connectors, monitoring, and user support, to agreed service and support standards

  • Design, build, and operate the developer platform capabilities that enable agentic AI, including model access, MCP servers, shared tooling, and reusable patterns, and take a leading role in the platforms we implement next

  • Build and maintain the connectors and services that expose enterprise systems, document repositories, and scientific data to agents, with identity, permissions, and secure data access handled by design

  • Provide the paved road for teams building on the platforms, through SDKs, templates, CI/CD pipelines, and documentation, together with the evaluation, observability, and guardrail tooling that makes agentic solutions measurable and responsible in production

  • Engage line-of-business stakeholders to qualify demand, build the value case, and deliver selected reference use cases that prove the platforms and turn recurring needs into shared capabilities

  • Partner with the Cloud Infrastructure and Cyber Security teams on solutions that are secure by design, mentoring colleagues, and contribute to the technical direction of the Data & AI portfolio


Your profile

You are an experienced engineer with business acumen, seeing internal builders and business colleagues as important customers. You're comfortable owning both build and run -from first conversation to production, support, and continuous improvement. You explain technical trade-offs in business terms and know what belongs in the platform, and what doesn't. As a person, you're generous with knowledge, pragmatic about technology, and always attentive to security and responsible AI use.



  • Substantial experience designing, building, and operating platforms or shared services in production, including day-to-day operation, user support, and integrations against enterprise systems and APIs; hands-on experience with the Model Context Protocol (MCP) is a strong advantage

  • Deep, hands-on understanding of agentic AI systems, including tool calling, orchestration and multi-step agent patterns, retrieval and context design, evaluation methods, and the typical failure modes of each

  • Strong software and platform engineering practices, including architecture, testing, code reviews, CI/CD, observability, and operating what you build; solid Python proficiency is required, and .NET experience is a plus

  • Sound knowledge of cloud-native services, container-based workflows, infrastructure as code, and identity and secure data access patterns; Azure experience is a plus

  • Experience from the BioPharma industry or familiarity with GxP processes is an advantage; front-end development experience, ideally React, is a nice-to-have


Your new team

Join the Data Analytics & AI Platform team within Zealand Pharma's DD&T organization. The team partners cross-functionally with colleagues across the business to deliver impactful, secure, and reliable Data & AI capabilities, from our internal data platforms to our Claude platform. Building and running the platforms for agentic AI is a growing part of our work.


Let's bond and be bold

We have a unique culture, characterized by excellent teamwork and strong engagement across the organization. And we want you to help us strengthen this culture.

Making bonds is at the core of everything we do. From discovering and developing the best new peptide drugs for patients, to engaging with our partners or connecting with each other. We bond through curiosity and playfulness as a team, allowing ourselves to challenge common thinking and drive future innovation. Join us and let's bond and be bold.


For further information, please contact Director of Data Analytics & AI Platforms, Suheil Dahy Hvass Almasri on salmasri@zealandpharma.com

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