Summary: The Generative AI Architect role involves designing, implementing, and optimizing advanced Generative AI solutions, particularly using Large Language Models and cloud-based applications. The position requires extensive experience in AI/ML, with a focus on Generative AI and NLP, and emphasizes hands-on technical expertise. The architect will lead teams, collaborate with various stakeholders, and ensure solutions meet compliance and security standards. This is a contract position based in London with a hybrid working arrangement.

Key Responsibilities:

• Architect and implement Generative AI solutions for Conversational AI, automation, and enterprise applications.
• Design and develop multi-agentic AI applications using frameworks like Google Vertex AI agents, LangGraph, CrewAI, LlamaIndex multi-agentic workflows or AutoGen.
• Evaluate Gen AI & multi-agentic applications for hallucination, correctness, and accuracy.
• Troubleshoot and optimize Gen AI applications on cloud platforms, preferably GCP.
• Integrate Gen AI and multi-agentic applications with tools, databases, and APIs for real-world use cases.
• Ensure Gen AI solutions are scalable, reliable, and compliant with data privacy and security standards.
• Lead the Gen AI teams to deliver value to customers.
• Lead AI research initiatives and explore state-of-the-art advancements in Generative AI.
• Collaborate with engineering, product, and business teams to define Gen AI-driven strategies and roadmaps.

Key Skills:

• 10+ years of experience in AI/ML, with a focus on Generative AI and NLP for the past 2 years.
• Proficient in Python and associated data science libraries like Pandas, NumPy.
• Expertise in using Gen AI frameworks like LangChain, LlamaIndex, and multi-agentic frameworks.
• Hands-on expertise in building and productionizing Gen AI solutions.
• Experience with RAG patterns and multi-agentic patterns like workflows, hierarchical agents & agentic swarms.
• Expertise in Gen AI application evaluation techniques and frameworks like DeepEval.
• Experience with Gen AI application monitoring tools such as Arize Phoenix and LangSmith.
• Hands-on experience with cloud AI platforms (Google Vertex AI, AWS SageMaker, Azure AI).
• Knowledge of GenAIOps, AI security, and responsible AI best practices.
• Ability to lead AI initiatives, mentor teams, and drive innovation.
• Ability to research and learn new technologies.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT