AI Solutions Architect

🕒 March 18

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Andela

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🤝 B2B

📚 Education

💰 $200M Series E - Andela on 2021-09

Artificial Intelligence • B2B • Education

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

• Reporting to the Head of AI Solutions Incubation, the Solution Engineer is Andela's technical solutions lead. • This hands-on role involves embedded customer engagement for discovery, solution architecture, building proof-of-concepts (POCs), and securing technical wins. • You bridge customer needs with Andela's delivery capability. • Lead discovery, map workflows, identify pain points, document technical environments, and assess feasibility. • Design custom architectures, create technical diagrams, and develop/present technical proposals. • Build working POCs with production-quality code, integrate with customer systems, and iterate based on feedback. • Own the technical win, provide expertise, and build customer confidence. • Scope size and composition of delivery team. Transfer context to the delivery team, support kickoff, and monitor critical phases. • Identify solution gaps, propose new Solution Packages, and share competitive intelligence.

🎯 Requirements

• 5-10 years software engineering, 3+ years customer-facing technical roles, proven pre-sales track record. • Technical Skills: Full-stack engineering, deep experience in Cloud (AWS, GCP, or Azure), System Architecture, API Development, Data Engineering, DevOps (CI/CD, Docker/K8s), and AI/ML fundamentals (preferred). • Customer-Facing: Executive presence, technical credibility, strong communication, structured problem-solving, and negotiation skills.

🏖️ Benefits

• Competitive salary • Health insurance • Flexible working hours • Professional development opportunities