Programmers.io
Forward Deployed Engineer (FDE)/Generative AI Solutions Architect/ Forward Deployed AI Engineer /Enterprise AI Architect /Principal AI Solutions Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Mutual, OH, USA
Work mode:
Onsite
Published on:
2 October 2026
What they need
Job: Forward Deployed Engineer (FDE)/Generative AI Solutions Architect/ Forward Deployed AI Engineer /Enterprise AI Architect /Principal AI Solutions Engineer
Location: Remote
Job Type: Full-Time
About the Role
We are seeking an experienced Forward Deployed Engineer (FDE) to work directly with clients and deliver innovative AI-powered solutions that drive business transformation. This role combines consulting, solution architecture, and hands-on engineering to solve complex business challenges using AI/ML, Large Language Models (LLMs), cloud platforms, APIs, and intelligent automation technologies.
Key Responsibilities
- Partner with clients to understand business challenges and identify AI-driven opportunities.
- Lead discovery sessions, technical workshops, and solution design engagements.
- Design, develop, and deploy production-grade AI applications, copilots, and automation solutions.
- Architect scalable, secure, and compliant systems integrating LLMs, machine learning models, APIs, and enterprise platforms.
- Translate business requirements into technical roadmaps and measurable outcomes.
- Collaborate with cross-functional teams to ensure successful deployment and adoption of solutions.
- Own the end-to-end solution lifecycle from problem definition through production deployment.
- Provide technical leadership and guidance throughout client engagements.
Required Qualifications
- Bachelor’s degree in computer science, Engineering, Data Science, or a related field.
- 8+ years of software engineering experience building cloud-native and distributed systems.
- 7+ years of consulting, solution architecture, or client-facing technology delivery experience.
- Hands-on experience with AI/ML, LLMs, prompt engineering, and model deployment.
- Strong expertise in Azure, AWS, or GCP.
- Experience with APIs, microservices, and modern application development frameworks.
- Excellent stakeholder management, communication, and problem-solving skills.
- Ability to work independently in a fast-paced environment.
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