Solutions Engineer

About the role

The Solutions Engineer at Encord will partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles. They will architect and implement solutions for prospects on the cutting-edge of AI, focusing on applications in robotics, autonomous systems, and multimodal AI.

Responsibilities

• Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co-own the technical win.
• Lead deep technical discovery sessions with a wide range of stakeholders (from ML Engineers to MLOps leaders) to not only uncover business pain but to architect a complete technical solution and integration path.
• Architect, build, and deliver highly-technical, customised product demonstrations and proof-of-concepts (POCs) that solve specific, complex customer problems.
• Own the end-to-end technical implementation of POCs, writing robust, production-quality Python scripts for complex data ingestion, pre/post-processing, dataset management, and custom platform integrations.
• Act as the key technical advisor to prospects, expertly guiding them through security, architecture, and integration evaluations, particularly on complex data pipelines involving multimodal data, LiDAR, or robotics sensor data.
• Translate complex technical architectures and findings into clear, persuasive value propositions for senior, non-technical stakeholders (Directors, VPs, CTOs).
• Serve as the "voice of the customer" to our Product and Engineering teams, channelling detailed, technical feedback from complex enterprise clients to help shape the product roadmap.

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.
• Hands-on experience building and debugging scripts and solutions using Python or other scripting languages; experience with SDKs is desirable.
• 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.