Solutions Engineer

Encord, London +1

The role

As a Solutions Engineer at Encord, you will be the core technical expert and problem-solver for our most complex customers. You are the engineering-focused counterpart to the commercial team, partnering with Account Executives to architect and implement solutions for prospects on the cutting-edge of AI.

You will be the expert on how our platform integrates and scales, establishing technical credibility and guiding prospects through complex evaluations, especially for applications in robotics, autonomous systems, and multimodal AI. You are both a deep technical builder and an expert business value translator.

What you will do

What you need

Who we're looking for

Coding experience – hands-on experience building and debugging scripts and solutions using Python or other scripting languages; experience with SDKs is desirable
Excellent communication and presentation skills — you can confidently command a room of engineers and just as easily simplify complex concepts for senior decision-makers
Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts
A "hacker mindset" with a strong engineering foundation: you are a creative problem-solver who builds robust, scalable, and efficient scripts and integration workflows to overcome technical hurdles
A solution-driven and customer-obsessed mindset — while you understand commercial goals, your passion is for solving complex technical problems and ensuring customer success
Ability to translate value between technical and commercial stakeholders, both with prospects and internally within Encord
Bonus: hands-on experience working with multimodal AI, sensor-fusion, physical AI, LiDAR data, or in the robotics industry

Experience requirements

1 - 5+ years of experience in a customer-facing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account Management
Proficiency in Python, with the ability to write clean, production-quality scripts for data ingestion, pipeline automation, API integrations, and custom tooling; experience with REST APIs and SDKs is strongly preferred
Hands-on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows
Solid understanding of machine learning concepts and the ML development lifecycle — from data preparation and annotation through model training, evaluation, and deployment
Demonstrated ability to lead technical discovery, architect integration solutions, and own end-to-end POC delivery in a complex enterprise sales environment
Proven track record of earning trust with highly technical audiences (ML engineers, MLOps, data engineers) while communicating value clearly to senior business stakeholders
Experience navigating enterprise security, compliance, and architecture reviews as part of a technical sales or implementation process
Prior experience in a high-growth start-up or scale-up strongly preferred
Bonus: Familiarity with multimodal data formats, LiDAR, robotics sensor data, or physical AI applications

Solutions Engineer

The role

What you will do

Solutions Engineer

The role

What you will do

What you need

Who we're looking for

Experience requirements

Why Encord

Operating principles

About Encord

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