Forward Deployment AI Tech Lead - GenAI & LLMs

Envision Technology Solutions; Houston (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Envision Technology Solutions is seeking a Forward Deployment Engineer (FDE) Technical Lead to drive hands-on AI/GenAI solutions across data, cloud and integration layers. You’ll lead architecture and deliver robust backend services and APIs for enterprise deployments in a fast-moving environment.

You will mentor a small engineering team, champion modern software practices, and ensure production-grade observability and performance of AI-enabled applications.

Qualifications

• Bachelor's or master's degree in computer science or related field.
• Experience developing backend services, APIs, and distributed apps.
• Experience processing structured / unstructured data.
• Hands-on experience with AWS, Azure, or Google Cloud.
• Experience with Git, testing frameworks, code reviews, and modern software practices.
• Strong debugging and troubleshooting abilities.

Responsibilities

• Lead engineering efforts blending software, AI/GenAI, data and cloud tech.
• Design and deliver backend services, APIs, and distributed applications.
• Mentor engineers and guide architecture in AI deployments.
• Ensure production readiness with monitoring, logging and observability.

Skills

Backend services development

APIs and distributed systems

Data processing / transformation

LLM APIs integration

Prompt engineering

Embeddings / vector search

Observability / monitoring

Troubleshooting

Education

Bachelor's or master's degree in computer science or related field

Tools

AWS

Azure

Google Cloud

Git

Testing frameworks

Code reviews

Job description

Envision Technology Solutions is seeking a Forward Deployment Engineer (FDE) Technical Lead to drive hands-on AI/GenAI solutions across data, cloud and integration layers. You’ll lead architecture and deliver robust backend services and APIs for enterprise deployments in a fast-moving environment.

You will mentor a small engineering team, champion modern software practices, and ensure production-grade observability and performance of AI-enabled applications.