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AI Technology Partners

Enterprise generative AI consulting and implementation

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Five or more years of experience, including software engineering, advanced solutions such as agentic AI, and client-facing delivery.
  • Production experience with system integrations, AI applications, large language model-powered systems, agents, and workflow automations.
  • Strong software engineering skills in one or more production languages such as Python, TypeScript, JavaScript, C#, Java, or Go.
  • Ability to communicate effectively with technical and business audiences.

Responsibilities

  • Partner with enterprise customers to understand workflows, challenges, and opportunities for AI-driven transformation.
  • Design, build, and deploy AI applications, agentic workflows, automations, and enterprise integrations.
  • Translate customer requirements into scalable technical solutions.
  • Lead proof-of-concept initiatives and guide them into production deployments.
  • Work across the lifecycle from discovery and solution design through implementation, deployment, and adoption.
  • Collaborate with engineering, product, and client stakeholders to deliver measurable outcomes.
  • Serve as a trusted technical advisor throughout the customer journey.

Desired Qualifications

  • Python and large language model framework experience are strong assets.

About the Company

AI Technology Partners

Enterprise generative AI consulting and implementation

AI Technology Partners provides consulting and implementation services that help enterprises adopt generative AI technologies, with a focus on strategy and operations. The company guides clients through identifying opportunities, planning deployments, and integrating generative AI tools (such as Microsoft Copilots) into existing workflows to boost growth, productivity, and competitiveness while aiming to reduce costs and manage risks. Its offerings are centered on enterprise-grade advisory and hands-on delivery rather than a stand-alone product. Compared with competitors, the firm emphasizes strategic, operation-level transformation for large organizations and end-to-end support in AI adoption, risk management, and measurable business outcomes. The primary goal is to enable clients to achieve revenue growth, higher employee productivity, and cost savings through a structured AI transformation journey.

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