GenAI Architect or GenAI lead

Summary: The role of GenAI Architect or GenAI Lead focuses on leveraging expertise in AI/ML, particularly in Generative AI and LLMs, to develop and optimize applications. The position requires hands-on experience with prompt engineering and building RAG applications, along with proficiency in AWS AI/ML services. Strong communication and leadership skills are essential for this long-term contract role. The position is fully remote.

Key Responsibilities:

• Develop and optimize applications using Generative AI and LLMs.
• Implement prompt engineering and chaining techniques.
• Build RAG applications utilizing vector databases and embedding models.
• Utilize AWS AI/ML stack services effectively.
• Conduct semantic search and work with embedding models.
• Collaborate and communicate effectively with team members and stakeholders.

Key Skills:

• Years of experience in AI/ML, with at least 3 years in Generative AI and LLMs.
• Strong understanding of LLM architectures, fine-tuning, and inference optimization.
• Hands-on experience with Prompt Engineering and prompt chaining techniques.
• Proven experience building RAG applications using vector databases and embedding models.
• Proficiency in AWS AI/ML stack: Bedrock, SageMaker, Lambda, S3, IAM, and related services.
• Familiarity with Cosine similarity, embedding models (e.g., Sentence Transformers), and semantic search.
• Experience with Python, LangChain, Hugging Face Transformers, and RESTful APIs.
• Excellent communication and leadership skills.

Salary (Rate): £60

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT