Senior Solutions Engineer

🕒 September 14

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Logo of Andela

Andela

201 - 500 employees

Founded 2014

💼 Consulting

📦 Logistics

📣 Marketing

💰 $200M Series E - Andela on 2021-09

Consulting • Logistics • Marketing

Andela is a company that provides the human compute layer for enterprise AI: training models with human-in-the-loop expertise, deploying AI-native engineers and managed engineering teams, and upskilling workforces to build and operate production AI systems. It offers a platform to hire and manage AI engineers, Training-as-a-Service (TaaS) and continuous learning programs, and delivers AI systems development, model alignment, and MLOps capabilities for large organizations.

📋 Description

• Lead technical discovery and qualification with business and technical stakeholders • Shape customer solutions, including architecture, scope, delivery model, team structure, technical requirements, timelines, risks, and dependencies • Identify whether customer needs are best addressed through Talent Solutions, AI Solutions, Learning & Assessment Solutions, or a combination • Deliver architecture discussions, technical presentations, demonstrations, workshops, prototypes, proposals, and RFPs • Partner with Delivery and specialist teams to validate proposed approaches and ensure opportunities are well-defined • Contribute to technical assessments, AI-assisted qualification, discovery frameworks, demonstrations, internal tooling, and automation • Create reusable playbooks, technical content, solution patterns, and improved sales-to-delivery processes • Bring customer insights back to Andela to improve offerings, technology, and go-to-market strategy

🎯 Requirements

• 6+ years of relevant professional experience, including significant experience in Sales Engineering, Solutions Engineering, Solution Architecture, technical consulting, professional services, engineering leadership, or another customer-facing technical role • Strong technical fluency across modern software development, cloud architecture, data platforms, APIs, and AI-enabled systems • Demonstrated ability to independently lead technical discovery and translate ambiguous business problems into practical solution approaches • Experience evaluating architecture, technical tradeoffs, dependencies, risks, and delivery considerations • Strong customer-facing communication and storytelling skills, with the ability to engage both senior business stakeholders and deeply technical audiences • Experience working cross-functionally with Sales, Delivery, Product, Engineering, or related teams • Familiarity with modern AI technologies such as generative AI, LLM-based applications, agents, retrieval systems, AI-assisted software development, or related platforms • Comfort experimenting with technical tools, APIs, automation, prototypes, or AI-enabled workflows • A builder mindset and comfort operating in an evolving environment where processes, offerings, and tools are still being developed • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field or equivalent practical experience • Work authorisation for the country of application

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