What are the responsibilities and job description for the Gen AI Architect position at Cloud BC Labs?
Position : Gen AI Architect
Location : Charlotte, NC (Hybrid)
Term : C2C/W2 Role
Job Summary:
We are seeking an experienced Generative AI Architect to design, architect, and implement scalable, secure, and enterprise-grade GenAI solutions. The ideal candidate will have strong expertise in Generative AI, LLMs, AWS/Azure/GCP cloud platforms, RAG, AI/ML architecture, prompt engineering, vector databases, and AI agent frameworks.
The candidate will work closely with business stakeholders, data scientists, ML engineers, software engineers, and cloud teams to translate business requirements into production-ready GenAI solutions.
Key Responsibilities
Note: Kindly interested candidates pls share the resume to Pooja.yadav@cbcinc.ai
Location : Charlotte, NC (Hybrid)
Term : C2C/W2 Role
Job Summary:
We are seeking an experienced Generative AI Architect to design, architect, and implement scalable, secure, and enterprise-grade GenAI solutions. The ideal candidate will have strong expertise in Generative AI, LLMs, AWS/Azure/GCP cloud platforms, RAG, AI/ML architecture, prompt engineering, vector databases, and AI agent frameworks.
The candidate will work closely with business stakeholders, data scientists, ML engineers, software engineers, and cloud teams to translate business requirements into production-ready GenAI solutions.
Key Responsibilities
- Design and define end-to-end Generative AI architecture for enterprise applications.
- Architect solutions using LLMs, RAG, AI Agents, prompt engineering, embeddings, vector databases, and foundation models.
- Evaluate and select appropriate LLMs/foundation models based on performance, cost, security, latency, and business requirements.
- Design scalable RAG pipelines including document ingestion, chunking, embeddings, retrieval, reranking, and response generation.
- Develop and implement AI Agent / Agentic AI architectures using tools, APIs, workflows, memory, and orchestration.
- Integrate GenAI solutions with enterprise applications, APIs, databases, data platforms, and cloud services.
- Design solutions using cloud AI services such as AWS Bedrock, Amazon SageMaker, Azure OpenAI, Azure AI, or Google Vertex AI.
- Define architecture for model serving, inference, monitoring, evaluation, observability, and lifecycle management.
- Establish best practices for Responsible AI, security, privacy, governance, and compliance.
- Design mechanisms to mitigate hallucinations, prompt injection, data leakage, and unauthorized model access.
- Collaborate with data engineering teams to leverage structured and unstructured enterprise data.
- Lead technical discussions, architecture reviews, proof-of-concepts, and technology evaluations.
- Provide technical guidance and mentorship to AI/ML engineers and development teams.
- Optimize GenAI applications for performance, scalability, reliability, latency, and cost.
- Create architecture diagrams, technical design documents, standards, and implementation guidelines.
Note: Kindly interested candidates pls share the resume to Pooja.yadav@cbcinc.ai