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Solutions Engineer/Forward Deployed Engineer at Amini

Career Options Africa Group
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Solutions Engineer/Forward Deployed Engineer at Amini

--Powermax General Electrical Merchants Ltd--

Job Description

Solutions Engineer/Forward Deployed Engineers at Amini are part of the Platforms & Solutions Engineering team, where we transform innovative and impact-driven ideas into powerful data and AI technologies. We collaborate with enterprise customers around the world in the Global South to solve complex challenges and empower impact-led changes and growth with amazing solutions. We have worked on many impactful solutions from supporting policy makers and governments in building a geospatial data infrastructure from the ground up in order to improve rice cultivation and better disaster preparedness in the Philippines, to developing crop yield prediction models for food and beverage multinationals that source from Côte d'Ivoire, to designing win-win strategic alliances with data partners and research institutions, and to building models that assess the suitability of regenerative landscape programs for climate financiers investing in Uganda.

On our team, you’ll work with other impact-driven technologist colleagues from the Global South to craft highly scalable, flexible, and unique data and AI solutions. You’ll have opportunities to innovate, experiment, and make an impact on the Global South every day.

Job Industry

Engineering And Technical

Job Salary Currency

Job Salary Fixed

No

Key Deliverables

  • Technical account management 
  • Trusted technical advisor: Act as a trusted technical advisor to the sales and business development teams, providing technical expertise during the sales cycle, helping to qualify opportunities, and assisting with technical presentations and demonstrations. 
  • Customer relationships: Develop and maintain deep, trusted advisor relationships with key stakeholders at assigned client accounts, including technical contacts, business leaders, and executives. 
  • Communications and collaboration: Effectively communicate technical concepts to both technical and non-technical audiences. Collaborate closely with internal teams (engineering, product, sales) to ensure seamless solution delivery. 
  • Client satisfaction: Focus on ensuring high levels of client satisfaction and retention. Identify and address any potential issues proactively. 
  • Solutions architecture 
  • Solutions design & development: Design and architect impactful solutions tailored to specific customer needs, leveraging our environmental data infrastructure, models, analytic workflows, and data science capabilities. 
  • Proof of concept creation: Develop and execute proof-of-concept projects that showcase the power and flexibility of our platform. This includes building models, developing analytical workflows, and demonstrating data science techniques. 
  • Business & client requirements: Understand and document client requirements and discuss with the business team in order to craft proposals and ensure the scope for service agreements are well understood and documented. 
  • Product knowledge: Maintain a strong understanding of our platform's capabilities, including data access methods, modeling tools, analytical libraries, and data visualization options. 
  • Technical expertise: Stay up-to-date with the latest advancements in geospatial data science, AI, modeling, and related technologies. Contribute to the ongoing improvement of our platform and solutions. 
  • Project management: Manage timelines, commitments, and deliverables for multiple projects simultaneously, ensuring timely and high-quality execution. Maintain meticulous organization and documentation.

Essential Qualities

Essential Qualities
  • Bachelor's or Master's degree in a relevant field (e.g., Environmental Science, Computer Science, Data Science, Engineering, or related field). 
  • Proven experience in a solutions architect, technical sales, and/or technical account management roles in enterprise software companies (AI, geospatial, data infrastructure preferred).  
  • Strong understanding of environmental data and related analytical techniques. 
  • Experience building and deploying models, developing analytical workflows, and performing data science tasks. 
  • Proficiency in programming languages commonly used in data science (e.g., Python, R). 
  • Excellent communication, presentation, and interpersonal skills. 
  • Demonstrated ability to manage multiple projects and meet deadlines. 
  • Proactive and self-motivated with a strong work ethic. 
  • Empathy and a genuine desire to understand and address customer needs. 
  • Passion for impact in the Global South (Africa, Southeast Asia, Latin America) and a desire to contribute to positive change. 
  • Experience with geospatial data and tools (e.g., Google Earth Engine, QGIS, PostGIS, other GIS software). 
  • Familiarity with specific environmental domains (e.g., climate change, air quality, water resources). 


Application Process

Close Date

10/05/2025