
Global shipping and logistics
Lead Enterprise Architect - AI/ML
- We are looking for Lead Enterprise Architect
- AI/ML to join us. This role will drive the strategic direction, design, and implementation of AI technologies ensuring they align with our business goals and deliver value to our customers. This role will be pivotal in driving innovation and ensuring that Maersk remains at the forefront of supply chain advancements through AI-driven solutions. This role is ideal for someone with a passion for blending cutting-edge AI technology with real-world supply chain challenges to drive transformational growth.
Key Responsibilities
In this critical role, you will leverage your expertise to:
- Define and evolve the architecture for Maersk’s Enterprise AI Platform, including frameworks for agent orchestration, multi-agent coordination, RAG, deployment, monitoring, and life cycle management.
- Architect and enable data flywheels that drive continuous improvement of AI agents through evaluation, feedback, and iteration loops.
- Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.
- Lead design reviews, develop technical documentation, and mentor engineers in principles of architecture and code development.
- Champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable AI solutions.
- Advocate for data governance and ethical AI practices, ensuring compliance with regulations and alignment with Maersk's values.
- Collaborate with cross-functional teams, including IT, business units, and external partners, to integrate AI and data-driven decision-making into our core processes.
- Stay abreast of industry trends and advancements in AI and data technologies, evaluating their potential impact on Maersk's business.
Who we are looking for…
- Proficiency in AI/ML systems, generative AI, and agentic AI frameworks.
- Hands-on development of AI agents, frameworks, and tooling, including setting architectural and coding standards.
- Deep expertise in architecting large-scale distributed systems with a focus on reliability, performance, and security.
- Familiarity with large language models, RAG pipelines, orchestration frameworks (e.g., Re Act, Lang Chain, AutoGPT-like flows).
- Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.
- Strong proficiency in programming languages like Python, R, or Java.
- Solid understanding of security, governance, and compliance for AI in enterprise contexts.
- Excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships.
- Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.
- Advanced degree (PhD or Master’s) in Computer Science, AI/ML, Operations Research, or a related field.
Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
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About Maersk

Maersk
PublicA.P. Møller – Mærsk A/S, usually known simply as Maersk, is a Danish shipping and logistics company founded in 1904 by Arnold Peter Møller and his father Peter Mærsk Møller.
10,001+
Employees
Copenhagen
Headquarters
$30B
Valuation
Reviews
10 reviews
3.9
10 reviews
Work-life balance
2.8
Compensation
3.2
Culture
4.1
Career
4.0
Management
3.2
72%
Recommend to a friend
Pros
Great team culture and colleagues
Professional development and advancement opportunities
Excellent benefits and health plans
Cons
Heavy workload and frequent overtime
Fast-paced and high pressure environment
Management lacks clear direction
Salary Ranges
42 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Associate Data Engineer
1 reports
$129,155
total per year
Base
$99,350
Stock
-
Bonus
-
$129,155
$129,155
Interview experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Live Coding Interview
5
Onsite/Virtual Interviews
6
Offer
Common questions
System Design
Coding/Algorithm
Technical Knowledge
Past Experience
Behavioral/STAR
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