AI Solutions Engineer

One Zero Digital Bank is looking for a hands-on AI Solutions Engineer to accelerate practical, governed AI adoption across the bank’s business functions. This role is for a builder with strong product instincts: someone who can sit with Operations, Legal, GRC, Compliance, Finance, Risk, Advisory, and other non-R&D teams, understand how work actually happens, identify high-value manual workflows, and turn them into secure AI-powered solutions. You will design, build, pilot, and scale internal AI tools, agent-powered workflows, copilots, automations, and business-facing AI applications using platforms such as AWS Bedrock, Google Vertex AI, Gemini Enterprise, Azure OpenAI, Claude Code, workflow automation tools, and similar technologies. This is not a strategy-only role. It is also not a pure engineering role. It is a hands-on, forward-deployed builder role at the intersection of Product, Engineering, Operations, and Enterprise AI Transformation.

Requirements: • 5+ years in a technical role such as software engineering, solutions engineering, technical product management, automation engineering, data/AI engineering, or a similar hands-on role. • 1+ years of practical experience delivering AI, GenAI, agentic, or automation solutions for business or operational users. • A clear builder track record: you have shipped tools, automations, workflows, internal products, or prototypes that people actually used. • Hands-on experience with AI platforms, coding agents, LLM APIs, agent frameworks, workflow automation tools, low-code/no-code platforms, or enterprise AI products. • Practical understanding of LLMs, RAG, prompt design, AI agents, tool use, human-in-the-loop workflows, evaluations, and responsible AI patterns. • Product judgment: ability to prioritize, define MVPs, separate nice-to-have ideas from high-value use cases, and measure outcomes. • Strong discovery skills with non-technical stakeholders: you can map how work happens today and redesign it around AI, automation, and human accountability. • Excellent communication skills: able to explain technical tradeoffs to business stakeholders and business context to technical teams. • Strong ownership and execution: comfortable moving from ambiguous problem to working solution. • Experience in a regulated environment such as banking, fintech, insurance, payments, healthcare, or another high-control industry is a strong advantage.