

AceStack
GenAI Lead with AWS :: GC & USC Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a GenAI Lead with AWS based in Houston, TX, on a contract basis. Key skills include Generative AI frameworks, AWS AI/ML services, and full-stack development. Candidates must have hands-on experience with LLM integration and cloud architecture.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 6, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#Hugging Face #Leadership #Langchain #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Lambda (AWS Lambda) #Scala #Data Engineering #Cloud #API (Application Programming Interface) #SageMaker #ML (Machine Learning)
Role description
Role – GenAI Lead with AWS
Location – Houston, TX
Contract
Overview:
We are seeking an experienced GenAI Lead with a strong background in AWS cloud architecture and full stack development to lead the design and implementation of AI-driven applications. The ideal candidate will have hands-on experience with Generative AI frameworks, LLM integration, AWS AI/ML services, and end-to-end application development.
Key Responsibilities:
Lead AI-driven initiatives leveraging Generative AI (LLMs, diffusion models, embeddings, etc.) for enterprise-scale solutions.
Design and develop scalable, secure, and high-performance full-stack applications integrating AI components.
Architect and deploy AI/ML pipelines using AWS services such as SageMaker, Bedrock, Lambda, ECS/EKS, and API Gateway.
Integrate LLMs (e.g., OpenAI, Anthropic, Cohere, Hugging Face, LangChain) into production environments.
Collaborate with data engineers, ML engineers, and product teams to deliver end-to-end solutions.
Optimize model inference, prompt engineering, and retrieval-augmented generation (RAG) pipelines.
Provide technical leadership and mentorship to development teams.
Stay up to date with advancements in GenAI, LLMOps, and AWS cloud technologies.
Role – GenAI Lead with AWS
Location – Houston, TX
Contract
Overview:
We are seeking an experienced GenAI Lead with a strong background in AWS cloud architecture and full stack development to lead the design and implementation of AI-driven applications. The ideal candidate will have hands-on experience with Generative AI frameworks, LLM integration, AWS AI/ML services, and end-to-end application development.
Key Responsibilities:
Lead AI-driven initiatives leveraging Generative AI (LLMs, diffusion models, embeddings, etc.) for enterprise-scale solutions.
Design and develop scalable, secure, and high-performance full-stack applications integrating AI components.
Architect and deploy AI/ML pipelines using AWS services such as SageMaker, Bedrock, Lambda, ECS/EKS, and API Gateway.
Integrate LLMs (e.g., OpenAI, Anthropic, Cohere, Hugging Face, LangChain) into production environments.
Collaborate with data engineers, ML engineers, and product teams to deliver end-to-end solutions.
Optimize model inference, prompt engineering, and retrieval-augmented generation (RAG) pipelines.
Provide technical leadership and mentorship to development teams.
Stay up to date with advancements in GenAI, LLMOps, and AWS cloud technologies.






