Senior Gen AI Architect (Data Science / AI Architecture) Remote Location
Posted Today by Sierra Business Solution LLC
Negotiable
Undetermined
Remote
Remote
Summary: The Senior Gen AI Architect will be responsible for architecting and designing end-to-end Generative AI solutions tailored for enterprise applications. This role involves leading development efforts with Large Language Models and establishing best practices for AI governance and model deployment. The architect will collaborate with stakeholders to translate business requirements into scalable AI architectures while providing technical leadership to teams. A strong background in data science, machine learning, and cloud platforms is essential for success in this position.
Key Responsibilities:
- Architect and design end-to-end Generative AI solutions for enterprise use cases
- Lead development using Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI multi-agent systems
- Define architecture for RAG (Retrieval-Augmented Generation) pipelines, AI orchestration and autonomous workflows, and scalable model deployment strategies
- Drive solution design discussions with stakeholders and leadership teams
- Provide technical leadership to data scientists, ML engineers, and developers
- Establish best practices for prompt engineering, model fine-tuning, evaluation and benchmarking
- Design and implement LLMOps MLOps frameworks
- Ensure governance, security, and responsible AI practices (bias, explainability, compliance)
- Collaborate with business teams to translate requirements into scalable AI architectures
Key Skills:
- 12+ years in Data Science, AI, Machine Learning
- Strong hands-on experience with Generative AI & LLMs (GPT, LLaMA, etc.), Small Language Models (SLMs), Agentic AI autonomous AI systems
- Expertise in Python, PyTorch, TensorFlow, NLP and deep learning, Prompt engineering and RAG architectures
- Experience with model fine-tuning and embeddings, vector databases (Pinecone, FAISS, etc.), API-driven AI services
- Strong architecture experience in Cloud platforms (AWS, Azure, Google Cloud Platform), Scalable distributed systems
- Proven experience in enterprise-level AI solution design
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Description:
>> Architect and design end-to-end Generative AI solutions for enterprise use cases
>> Lead development using Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI multi-agent systems
>> Define architecture for RAG (Retrieval-Augmented Generation) pipelines, AI orchestration and autonomous workflows, and scalable model deployment strategies
>> Drive solution design discussions with stakeholders and leadership teams
>> Provide technical leadership to data scientists, ML engineers, and developers
>> Establish best practices for prompt engineering, model fine-tuning, evaluation and benchmarking
>> Design and implement LLMOps MLOps frameworks
>> Ensure governance, security, and responsible AI practices (bias, explainability, compliance)
>> Collaborate with business teams to translate requirements into scalable AI architectures
Requirements:
>> 12+ years in Data Science AI Machine Learning
>> Strong hands-on experience with Generative AI & LLMs (GPT, LLaMA, etc.), Small Language Models (SLMs), Agentic AI autonomous AI systems
>> Expertise in Python, PyTorch TensorFlow, NLP and deep learning, Prompt engineering and RAG architectures
>> Experience with model fine-tuning and embeddings, vector databases (Pinecone, FAISS, etc.), API-driven AI services
>> Strong architecture experience in Cloud platforms (AWS Azure Google Cloud Platform), Scalable distributed systems
>> Proven experience in enterprise-level AI solution design