Senior AI Engineer

Zealand Pharma A/S; Denmark; On-site; DKK 900,000 - 1,100,000; Full time

Job summary

Zealand Pharma A/S is seeking a Senior AI Engineer to lead the daily operation of the Claude platform and shape the developer ecosystem enabling agentic AI across enterprise systems. You will collaborate with business units to translate ideas into concrete use cases while upholding secure data access and governance.

You will design platform capabilities, provide tooling and templates, and work with Cloud Infra and Cyber Security teams to ensure secure by design solutions.

Qualifications

• Substantial experience designing, building, and operating platforms or shared services in production.
• Hands-on Python proficiency required; .NET experience is a plus.
• Experience with CI/CD, observability, and secure data access patterns is important.

Responsibilities

• Run and evolve the Claude platform in daily operation with configuration, connectors, monitoring and support.
• Design and operate developer platform capabilities for agentic AI, including model access and shared tooling.
• Build and maintain connectors exposing enterprise systems and data to agents with secure access by design.
• Provide SDKs, templates, CI/CD pipelines, and documentation to enable teams on the platforms.
• Engage business stakeholders to qualify demand, build value cases, and deliver reference use cases.

Skills

Platform engineering

Python

CI/CD

Security & Responsible AI

Cloud services

Azure

GxP knowledge

Stakeholder engagement

React

Tools

MCP

Job description

Does it excite you to run the platforms that let an entire organization build with agentic AI, and do you have the engineering depth to operate them in production while staying close to the teams that depend on them? If this sounds like you, and you are ready to take on a broad area of responsibilities, then you could be our new colleague.

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 [e-mail].

About Zealand Pharma A/S Zealand Pharma A/S (Nasdaq: ZEAL) is a biotechnology company focused on advancing medicines for obesity and metabolic health. Combining more than 25 years of peptide R&D expertise with a proprietary data platform that leverages advanced data‑driven and AI/ML approaches, Zealand Pharma aims to lead a new era in obesity and metabolic health. To date, more than ten Zealand Pharma‑invented drug candidates have entered clinical development, of which two products have reached the market and three candidates are in late‑stage development. The Company has collaborations with global pharmaceutical and biotechnology partners for research, development, and commercialization. Founded in 1998, Zealand Pharma is headquartered in Copenhagen, Denmark, with a U.S. presence in Boston, Massachusetts. Learn more at www.zealandpharma.com.

Since our founding in 1998, Zealand Pharma has built a core expertise in the discovery, design, and development of therapeutic peptides. This expertise has led to an R&D pipeline of innovative investigational candidates designed to address a broad range of disease areas. We have four therapeutic focus areas: obesity, rare diseases, chronic inflammation, and type 1 diabetes.

In obesity, our peptide capabilities place us in a unique position to address a vast global health challenge and positively impact hundreds of millions of lives. Within rare diseases, we have a long‑standing commitment to deliver new treatments to patients living with congenital hyperinsulinism and short bowel syndrome. For chronic inflammatory diseases, we are progressing peptide programs focused on high‑profile targets shown to be difficult to address with small molecules and antibodies. For type 1 diabetes, we aspire to change the management of this disease. Our strategy is to pursue global co‑development and commercialization partnerships that complement and extend our capabilities across the value chain to deliver new peptide therapies to people who need them.