> Markdown version of [/jobs/ext/3991153-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3991153-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Quantum Technologies - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $172,640.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Software, Data Integration, Software Engineering, GitHub Copilot, Office365, Generative AI, Agentic-AI, AI Platforms, Low-code - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/1083da09-a09f-481f-bcd5-5e28e639681a ## About the Role 5+ years of software engineering or technical delivery experience. 2+ years of hands-on experience designing or implementing AI-enabled solutions. Experience with AI agents, GenAI applications, workflow automation, or agent-assisted development. Ability to rapidly prototype, test, and operationalize AI solutions. Strong collaboration skills with product, architecture, engineering, and business teams. Experience using enterprise-approved AI tools such as GitHub Copilot, Microsoft 365 Copilot, or similar platforms. Understanding of secure, compliant, and governed use of business applications and data. Strong communication, problem-solving, and stakeholder-management skills preferred skills and attributes for this role 7+ years of software engineering, solution architecture, or technical consulting experience. Experience deploying AI solutions in a large enterprise environment. Experience with cloud platforms, APIs, automation frameworks, data integration, or low-code/no-code AI platforms. Experience coaching engineering teams on AI adoption and best practices. Healthcare, insurance, or regulated-industry experience. Experience working with US-based leadership and distributed engineering teams. ## Description Design, prototype, validate, and operationalize AI-powered solutions and agents. Develop agent-assisted workflows, automation, and reusable AI capabilities. Partner with product, architecture, engineering, and business stakeholders to align AI initiatives with portfolio priorities.