Technical Lead – Forward Deployment Engineer AI

Envision Technology Solutions; Houston (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Envision Technology Solutions is seeking a Technical Lead – Forward Deployment Engineer AI to guide AI-enabled solutions from discovery through production deployment. This onsite role supports multiple U.S.

locations including Houston, TX, and requires hands-on coding, architecture design and customer-facing collaboration. The ideal candidate will own end-to-end technical implementation, lead AI/GenAI initiatives, and mentor junior engineers while ensuring scalable, secure and observable

Qualifications

• Bachelor's or master's degree in computer science or related field.
• Experience developing backend services, APIs, and distributed applications.
• Experience processing and transforming structured and/or unstructured data.
• Hands-on experience with at least one major cloud platforms: AWS, Azure, or Google Cloud.
• Experience in Git, testing frameworks, code reviews and modern software engineering practices.
• Strong debugging and troubleshooting capabilities.
• Hands-on exposure to Large Language Models and Generative AI application development.
• LLM APIs and model integration.
• Prompt engineering and structured outputs.
• Embeddings and vector search/vector databases.
• Understanding of production monitoring, logging and observability.

Responsibilities

• Lead technical discovery sessions to understand customer business problems and data landscape.
• Translate requirements into scalable technical solutions across AI/GenAI, data and cloud.
• Own end-to-end technical implementation from discovery to production deployment.
• Design and develop application services, APIs, integrations and AI-enabled solutions.
• Remain hands-on with coding, debugging, code reviews and troubleshooting.
• Lead rapid prototyping and PoC development to validate approaches.
• Define architecture, data flows, APIs and deployment strategies.
• Guide engineers across software, AI, data, cloud and platform tech.
• Review code for quality, security, and maintainability.
• Diagnose complex production issues and drive solutions.

Skills

Backend services

APIs

Distributed apps

Cloud platforms

Git & testing

Debugging

AI/GenAI

LLM integration

Prompt engineering

Vector databases

Education

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

Tools

pgvector

Pinecone

Weaviate

Milvus

Job description

Role: Technical Lead – Forward Deployment Engineer AI

Location: Atlanta, GA / Santa Clara, CA / Edison, NJ / Cincinnati, OH / Miami, FL / Charlotte, NC / Houston, TX (Onsite)

Type: Full-Time

Job Description

Role: Forward Deployment Engineer (FDE) Technical Lead - Artificial Intelligence

Location Options: Santa Clara, CA / Atlanta, GA / Cincinnati, OH / Edison, NJ / Miami, FL / Charlotte, NC / Houston, TX

The Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud, integration and platform technologies.

The Technical Lead works directly with customer stakeholders, architects and engineering teams to understand business problems, define the technical approach, rapidly develop prototypes, and lead solutions through engineering integration and production deployment.

Unlike a traditional development lead, the FDE Technical Lead is expected to operate effectively in ambiguous environments, make pragmatic technical decisions, write and review code, troubleshoot complex issues, and take end-to-end ownership of customer outcomes.

Key Responsibilities

• Lead technical discovery sessions to understand customer business problems, existing technology landscape, data, applications and constraints.
• Translate customer requirements and business problems into scalable technical solutions.
• Own the end-to-end technical implementation from discovery and prototyping through production deployment.
• Design and develop application services, APIs, integrations and AI-enabled solutions.
• Remain hands-on with coding, debugging, code reviews and technical troubleshooting.
• Lead rapid prototyping and Proof-of-Concept development to validate solution approaches.
• Define application architecture, APIs, data flows, integration patterns and deployment approaches.
• Guide engineers across software, AI, data, cloud and platform technologies.
• Review code and ensure engineering quality, security, scalability and maintainability.
• Diagnose complex application, data, integration, infrastructure and production issues.
• Drive solutions from prototype to production-ready implementation.
• Mentor junior and graduate FDEs and provide technical support and guidance.
• Communicate technical decisions, trade-offs, risks and recommendations clearly to customer stakeholders.

*Qualifications:

• Bachelor's or master's degree in computer science or related field.
• Experience developing backend services, APIs, and distributed applications.
• Experience processing and transforming structured and /or unstructured data.
• Hands-on experience with at least one major cloud platforms: AWS, Microsoft Azure, or Google Cloud.
• Experience in Git, testing frameworks, code reviews and modern software engineering practices.
• Strong debugging and troubleshooting capabilities.
• Hands-on exposure to:
• oLarge Language Models and Generative AI application development.
• oLLM APIs and model integration.
• oPrompt engineering and structured outputs.
• oEmbeddings and vector search/vector databases.
• oU nderstanding of AI application performance, security and cost considerations.
• oIntegration of AI capabilities into enterprise applications.
• Understanding of production monitoring, logging and observability.

Good to Have

• Experience delivering solutions in customer-facing environments.
• Experience leading small Agile engineering teams.
• Hands-on experience with enterprise GenAI implementations.
• Experience with vector databases such as pgvector, Pinecone, Weaviate, Milivus or similar technologies.
• Experience with frameworks for building AI applications and agents.