Generative AI Architect

ZipRecruiter; London; Hybrid; GBP 100,000 - 125,000

Job description

Job Description

Role: Generative AI Architect

Location: Sheffield, UK (Hybrid 2 or 3 Days/Week Onsite)

Job Type: Contract (Inside IR35)

Job description:

We are seeking a hands-on Generative AI Architect to design, implement, and optimize cutting-edge Gen AI solutions leveraging Generative AI and agentic architectures.

The ideal candidate will have deep technical expertise in using LLMs (Large Models) for solving business problems, cloud-based Gen AI application deployments (Google Vertex AI), and designing and developing multi-agentic Gen AI applications.

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 our 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.

Required Skills & Qualifications:

10+ years of experience in AI/ML, with a focus on Generative AI and NLP for the past 2 years or so.

• Should be hands-on and 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.

Skills:

• Background in AI ethics, fairness, and regulatory compliance.