AI Solutions Engineer (QA & Prototyping)

AI Solutions Engineer (QA & Prototyping)

Position Overview

We are seeking multifaceted AI professionals who can function as Swiss Army Knives within our team. These individuals will not only ensure quality assurance and testing coverage but also design and build small-scale AI prototypes, proof-of-concepts (POCs), and automation flows. They will move seamlessly between QA, development, data analysis, and client-facing collaboration, ensuring our solutions are reliable, innovative, and ROI-driven.

This role is not about narrowly keeping systems running—it is about owning outcomes, driving innovation, and guiding the business and technical stakeholders in leveraging AI.

Key Responsibilities

• Prototyping & Development : Design and build small-scale AI prototypes, POCs, and automation workflows. Experiment with LLMs, APIs, and conversational AI tools to validate use cases. Support rapid iteration of ideas into functional demos.
• Quality Assurance & Testing : Split responsibilities across QA and engineering to ensure quality across AI features. Develop and execute automated and manual test plans for bots, APIs, and integrations. Own bug tracking, defect leakage prevention, and release sign-off.
• Data Analysis & Insights : Analyze customer conversations, training data, and system outputs. Identify trends, gaps, and improvement opportunities in AI / automation performance. Contribute to ROI modeling and performance reporting for stakeholders.
• Operations & Security Awareness : Implement monitoring, observability, and fallback strategies for AI systems. Ensure compliance with PII, PCI, and security-sensitive workflows (credit cards, PHI, etc.). Translate complex AI risks into clear business terms.
• Collaboration & Client Engagement : Act as a bridge between developers, business stakeholders, and clients. Participate in client discovery sessions, demos, and feedback loops. Communicate technical issues and outcomes in non-technical terms.
• Continuous Learning & Leadership : Stay current on AI / automation trends, tools, and best practices. Act as a self-learner who drives knowledge-sharing across the team. Take ownership of initiatives, leading others in quality, prototyping, and delivery.

Requirements

Nice to Have

Benefits

This role is ideal for curious, self-driven professionals who want to grow beyond silos. You will have the opportunity to work across prototyping, QA, data analysis, and client engagement, directly impacting ROI and solution outcomes, and leading from the front—guiding our team and clients in how AI can deliver value.

We are an equal opportunities employer and welcome applications from all qualified candidates.

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