Principal Developer - AI

Anaplan
Manchester, UK
7 days ago
Apply on job-boards.greenhouse.io
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Artificial Neural Networks Microsoft Azure Continuous Integration Fault Tolerance Python (Programming Language) PostgreSQL Machine Learning Azure Machine Learning Anaplan Software Engineering
+8 more
Data Processing Google Cloud Snowflake Multi-Cloud Kubernetes Information Technology Free and Open-Source Software Machine Learning Operations

Job description

  • Own the overall architecture and technical strategy for Anaplan’s predictive intelligence services across multiple verticalised solutions.
  • Drive a unified architectural approach across disparate intelligence services, reducing duplication and establishing shared platform primitives for forecasting, model serving, and data processing.
  • Provide hands-on design and implementation leadership for major features and platform initiatives, including writing and reviewing critical-path code where the work demands it.
  • Define and oversee the MLOps strategy spanning model training, deployment, monitoring, and lifecycle management on Kubernetes across AWS, GCP, and Azure.
  • Establish and evangelize engineering best practices across services, including standards for scalability, fault tolerance, observability, and operational excellence.
  • Mentor senior engineers and partner closely with data scientists to elevate technical quality and shorten the path from research to production.
  • Partner with Product, Data Science, and Platform leadership to shape the multi-quarter technical roadmap and influence cross-organisation decisions on predictive intelligence.
  • Represent the AI engineering organisation in technical conversations and architectural reviews with outside teams., We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper - this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Fraud Recruitment Disclaimer

It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.

Anaplan does not:

  • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
  • Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.

Requirements

  • Strong experience working within Software Engineering, Principal or Architect-level role owning systems at scale.
  • Deep expertise in Python and in designing and operating high-availability, production ML services.
  • Hands-on experience designing and operating data and analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres.
  • Strong production experience with Kubernetes and at least one major cloud provider (AWS, GCP, or Azure), with working familiarity across multi-cloud environments.
  • Demonstrated experience with MLOps tooling and patterns, including model registries, experiment tracking, and CI/CD for.
  • Proven ability to lead architectural strategy across multiple teams and services, balancing long-term vision with pragmatic delivery.
  • Strong communicator who can translate complex technical decisions into clear narratives for engineers, data scientists, product partners, and executives.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Preferred Skills

  • Experience operating forecasting models in production, including gradient-boosted methods, neural networks, and constraint-based optimization solvers.
  • Domain background in retail, supply chain, demand planning, or financial planning.
  • Experience leading post-acquisition platform integration or cross-organisation architectural alignment across previously independent products.
  • Open-source contributions to ML infrastructure, data processing, or related ecosystems.
  • Advanced degree in Computer Science, Machine Learning, Statistics, or a related field.

Benefits & conditions

As set forth in Anaplan’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select… Are you Hispanic/Latino? Select… Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A “disabled veteran” is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.

An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Veteran Status Select…

About the company

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

You will join the Predictive Intelligence engineering team within Anaplan, the group responsible for the Syrup platform and the family of forecasting and predictive services that power Anaplan’s verticalized solutions. The team builds and operates the ML platform, forecasting engines, and data processing services that deliver demand forecasting, inventory recommendations, and predictive insights to enterprise customers in retail, supply chain, and beyond. This role reports to the Director of Engineering for Predictive Intelligence and serves as the senior technical leader across the predictive intelligence pillar.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on job-boards.greenhouse.io
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

1:42 min

System architecture for ingesting and processing enterprise data

Sandeep Kusuma Sandeep Kusuma · World Congress 2026 Europe

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

Videos

See all

Related articles

See all