Job description

Job Summary: We are seeking an AI Architect to design and implement enterprise-scale AI solutions, including Generative AI, LLMs, NLP, RAG, and AI-powered applications. Key Responsibilities: • Define architecture for scalable enterprise AI solutions. • Design and implement Generative AI and LLM-based applications. • Develop RAG architectures using embeddings and vector databases. • Evaluate and integrate foundation models and AI services. • Design AI APIs and integrate AI capabilities into enterprise applications. • Implement prompt engineering, model evaluation, and optimization strategies. • Establish responsible AI, security, governance, and monitoring practices. • Work with Data Scientists, ML Engineers, Developers, and business stakeholders. • Lead technical design, proof-of-concepts, and production implementations. • Optimize AI solutions for performance, scalability, cost, and reliability. Required Skills: • Strong experience in AI/ML architecture. • Python and modern AI/ML frameworks. • Experience with LLMs, Generative AI, NLP, Transformers, and RAG. • Knowledge of OpenAI/other foundation models and Hugging Face. • Experience with vector databases and embeddings. • Experience with cloud platforms: AWS, Azure, or GCP. • Knowledge of APIs, Docker, Kubernetes, and CI/CD. • Strong understanding of AI governance, security, and model evaluation.

Requirements

Must-haves

We are seeking an AI Architect to design and implement enterprise-scale AI solutions, including Generative AI, LLMs, NLP, RAG, and AI-powered applications.
Define architecture for scalable enterprise AI solutions.
Design and implement Generative AI and LLM-based applications.
Develop RAG architectures using embeddings and vector databases.
Evaluate and integrate foundation models and AI services.
Design AI APIs and integrate AI capabilities into enterprise applications.
Implement prompt engineering, model evaluation, and optimization strategies.
Establish responsible AI, security, governance, and monitoring practices.
Work with Data Scientists, ML Engineers, Developers, and business stakeholders.
Lead technical design, proof-of-concepts, and production implementations.
Optimize AI solutions for performance, scalability, cost, and reliability.
Strong experience in AI/ML architecture.
Python and modern AI/ML frameworks.
Experience with LLMs, Generative AI, NLP, Transformers, and RAG.
Knowledge of OpenAI/other foundation models and Hugging Face.
Experience with vector databases and embeddings.
Experience with cloud platforms: AWS, Azure, or GCP.
Knowledge of APIs, Docker, Kubernetes, and CI/CD.
Strong understanding of AI governance, security, and model evaluation.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmmlpythonawsazuregcpdockerkubernetesci/cd

Platform: jobdiva
Effort: medium