Lead AI Engineer

Novo Nordisk; Ballerup Kommune; On-site; DKK 743,000 - 1,092,000; Full time

Job summary

Novo Nordisk in Denmark seeks a Lead AI Engineer to be the senior technical authority in Rapid Enablement's SWAT engagements, delivering evidence-based decisions within fixed timeboxes. You will architect solutions, define AI patterns, mentor engineers, and drive reusable enterprise agents across Novo's value chain.

You'll collaborate with AI Process designers and senior business stakeholders, applying no-code and code-first approaches on cloud-native platforms like Databricks and Snowflake to

Qualifications

• Proven track record turning AI ideas into working solutions across code-first and low-code/no-code.
• Hands-on with LLMs, agents, evaluation frameworks, vector databases, semantic search.
• Knowledge of AI standards (MCP, A2A, Agent Skills) and agentic IDE tooling.
• Experience setting technical direction and mentoring engineers.
• Ability to translate ambiguous problems into scoped technical plans under time pressure.
• Fluency in CI/CD and Git.
• MSc/PhD in engineering/CS or equivalent depth of experience.

Responsibilities

• Lead SWAT engagements and architect solutions within fixed timebox.
• Set technical direction and AI patterns across engagements.
• Work with AI Process designers to turn redesigned processes into working solutions.
• Lead development of reusable enterprise agents with ownership by Rapid Enablement.
• Mentor junior engineers to maintain quality under pace.

Education

MSc/PhD in engineering or CS or equivalent

Tools

Databricks

Snowflake

ChatGPT

Claude

Copilot Studio

Git

Job description

Your impact begins here

As Lead AI Engineer, you will be the senior technical authority in Rapid Enablement's SWAT engagements: time-boxed, cross-functional sprints that take a business area's AI opportunity from idea to a clear, evidence-based decision on what happens next. You will build what it takes to prove or disprove value and feasibility within a fixed timebox, and lead the reusable enterprise agents the team will own. Your work shows Novo where AI can make a real difference, faster.

What You'll Bring

• A strong track record of taking AI-centric applications from idea to a working solution across code first and low-code/no-code platforms.
• hands-on experience with modern AI engineering: LLMs, agents, evaluation frameworks, vector databases and semantic search, and related tooling.
• Functional knowledge of modern AI standards (MCP, A2A, Agent Skills, OpenTelemetry or similar) and agentic IDE tooling (VSC, Cursor, Claude Code, Codex or similar).
• Experience setting technical direction or standards for other engineers, and mentoring less senior colleagues.
• The ability to work directly and confidently with senior business stakeholders, turning ambiguous problems into a scoped, testable technical approach under time pressure.
• Fluency with modern software development practices, including CI/CD and Git.
• A rapid prototyping instinct and a high degree of innovation: you quickly turn complex problems into testable solutions.
• An MSc, PhD or similar graduate degree in engineering, computer science, data science or a related field, or equivalent depth of experience.

What You'll Do

• Act as the senior hands-on engineer in SWAT engagements, architecting and building the technical solution needed to prove or disprove an opportunity's value and feasibility within a fixed timebox.
• Set technical direction and standards across engagements, including architecture choices, AI patterns and evaluation approaches that hold up under real business stakeholder scrutiny.
• Work closely with the team's AI Process designers to turn a redesigned business process into a working, testable technical solution.
• Lead the solutioning and technical implementation of reusable enterprise agents that Rapid Enablement keeps standing operational ownership of.
• Mentor and pair with less senior engineers, so technical quality holds even when engagements run at pace.

Who You'll Work With

You will join Rapid Enablement, part of AI Employee Experience & Enablement within Enterprise AI. The team exists to rapidly accelerate high-value AI opportunities across the Novo value chain, from idea to evidence-based proof of value, and to build reusable enterprise productivity agents. It is a dynamic and growing team, and its cross-functional engagements have a direct impact on how AI gets adopted across Novo.

Day to day, you will work with the team's AI Process designers, with senior and junior engineers you mentor and pair with, and with senior business stakeholders from the business areas you support. When an engagement needs specialised competences, you will collaborate with technical peers from other Enterprise AI teams. The work is cloud-native and runs across Novo's internal platforms, including Databricks, Snowflake, ChatGPT, Claude and Copilot Studio, spanning both no-code and code-first approaches.

Your team will be part of Enterprise AI, working closely with colleagues across the business to understand their needs and support our shared goal of reaching millions of people living with serious chronic diseases and creating lasting health.

What You Can Expect Here

Every engagement takes you into a different part of the Novo value chain, so you will keep building new skills and broaden your view of where AI creates value. You will grow alongside colleagues on the job and be part of Novo's work to upskill its workforce in AI and technology. You will be trusted to own technical decisions and make your voice heard, and you will be supported to perform at your best.

Salary

For this role, the Annual Base Salary ranges from 742,600.00 to 1,091,600.00 DKK, corresponding to the level of the position. The placement within the salary range will be assessed during the recruitment process based on the candidate's skills, competencies, knowledge, and relevant experience.

For further information, please contact Morten Lorenzen at [e-mail].

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.