AI Solutions Architect
AI Solutions Architect
Locations:
Toronto, Canada
New York City, NY
About Andela:
At Andela, we know brilliance is evenly distributed around the world, but opportunity is not. For over 10 years, Andela has connected its customers with top global, remote technical talent from over 135 countries with the majority residing in emerging markets like Africa and Latin America.
As one of the world’s largest talent marketplaces, Andela gives companies greater flexibility to quickly deploy qualified technologists. With talent highly skilled in advanced technologies to support Application Development, Artificial Intelligence, Cloud & DevOps, Data Engineering, and much more, customers experience 33% faster project delivery. The company’s exclusive AI-powered platform, Andela Talent Cloud, is the industry’s only unified platform managing the complete global talent lifecycle and enables customers to fill individual roles or engage fully managed teams up to 66% faster.
Andela is on the precipice of two breakout industry transformations: one in staffing/hiring and the other in software development, both accelerated by generative AI.
Are you an exceptional, hungry leader seasoned in scaling businesses through transformation and growth? Join us and change the world.
Job Summary:
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.
This is ahigh impact, 0-to-1 opportunity, executive visibility, strong market timing, career growth, and mission-driven global team.
Exceptional Leadership:
As an Andelan, you’ll serve as a role model for the rest of the company. Think about the feedback your peers typically give you – if it usually sounds like the below, we want to hear from you.
Low ego, low drama, servant leader:You share credit, take blame. You like being wrong because it means someone else had an even better idea.
One team mentality: You break silos across teams. You put the company and mission first above your team alone.
Great listener, hungry for feedback: You’re always seeking to improve – our product, our business, yourself. You solicit diverse opinions and deeply listen.
Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you.
Player-coach: You fly high (create strategy) AND low (know the details that matter). You roll up your sleeves and get scrappy. You do this proactively collaborating with your team while actively engaging in important details.
Business problem solver: You’re not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems.
Key Responsibilities (Time Allocation):
Solutions Discovery & Scoping (25-30%): Lead discovery, map workflows, identify pain points, document technical environments, and assess feasibility.
Solution Architecture & Design (20-25%): Design custom architectures, create technical diagrams, and develop/present technical proposals.
Proof-of-Concept Development (20-25%): Build working POCs with production-quality code, integrate with customer systems, and iterate based on feedback.
Technical Leadership (10-15%): Own the technical win, provide expertise, and build customer confidence.
Delivery Handoff & Support (20-30%): Scope size and composition of delivery team. Transfer context to the delivery team, support kickoff, and monitor critical phases.
Product Feedback Loop (5-10%): Identify solution gaps, propose new Solution Packages, and share competitive intelligence.
Indicative Time Allocation: 60-70% Pre-Sales; 20-30% Delivery Handoff; 5-10% Feedback.
Success Metrics: POC wins, clear scoping, successful handoffs, influenced pipeline ($1M-$2M at 6 months), and contribution to Solution Package playbooks.
Required Qualifications:
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.
Preferred Qualifications:
Experience in top consulting/boutique tech firms
Startup/scale-up,
Domain expertise (one or more of FinTech, SaaS, Healthcare, etc.),
AI solutions (LLM/RAG), and industry certifications.
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