Summary: The Generative AI Architect will design, implement, and optimize advanced Generative AI solutions, focusing on leveraging Large Language Models and agentic architectures. This role requires deep technical expertise in cloud-based deployments, particularly with Google Vertex AI, and involves leading teams to deliver innovative AI applications. The architect will also evaluate and troubleshoot applications to ensure they meet business needs and compliance standards. Collaboration with various teams to define strategies and roadmaps for Generative AI initiatives is essential.

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 like Google Vertex AI agents, LangGraph, CrewAI, LlamaIndex multi-agentic workflows or AutoGen.
• Hands-on expertise in building and productionizing Gen AI solutions.
• Hands-on expertise on RAG pattern and multi-agentic patterns like workflows, hierarchical agents & agentic swarms.
• Hands-on expertise on Gen AI application evaluation techniques and frameworks like DeepEval.
• Hands-on experience with Gen AI application monitoring tools such as Arize Pheonix 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 Area

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT