Title: GenAI Architect
Location: London, UK (Hybrid: 2-3 days a week)
Mode: Contractor or FTE - Open for both
Budget: As competitive as possible
Domain: Retail & eCommerce
We are seeking a highly skilled and visionary AI Architect to lead the technical strategy, design, and end‑to‑end deployment of advanced Generative AI solutions within our Retail and eCommerce operations. This role has a specialized focus on designing complex Multi‑Agent Systems to automate sophisticated workflows, particularly within our Customer Contact Center.
Key Responsibilities
- Multi‑Agent System Architecture: Lead the design, orchestration, and implementation of sophisticated multi‑agent Gen AI systems (utilizing frameworks like LangGraph, AutoGen, or CrewAI) that collaborate to solve complex customer inquiries and backend retail workflows.
- Customer Contact Center Transformation: Architect intelligent Gen AI solutions tailored for the Customer Contact Center. Deploy multi‑agent systems to handle dynamic conversational routing, real‑time agent assist, personalized customer resolutions, and automated follow‑ups to drive higher CSAT.
- Azure Databricks Leadership: Leverage Azure Databricks as the foundational data and compute layer for AI pipeline orchestration, massive‑scale data processing, feature engineering, and model management.
- Strategic Design & Feasibility: Define AI solution approaches, design patterns, and architectural blueprints. Assess the technical feasibility of proposed AI/ML initiatives to guide Agile product prioritization, feature breakdowns, and overarching solution direction.
- Observability, Security & Resiliency: Establish robust LLMOps and AI observability frameworks. Implement deep tracing for multi‑agent reasoning, alongside monitoring for model performance. Ensure production‑grade resiliency through multi‑region cloud architectures, disaster recovery (DR) protocols, and secure enterprise secret management.
- End‑to‑End Development & DevOps: Architect and drive the full software development lifecycle (SDLC) for AI solutions. Establish robust CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks to ensure seamless, secure, and continuous deployments across Azure environments.
Required Qualifications & Experience
- Experience: Minimum 8‑10+ years in software, data, or cloud architecture, with a heavy focus on Generative AI, machine learning, and end‑to‑end system deployments over the last 6+ years.
- Production Deployments: At least 2 successfully developed and deployed end‑to‑end AI products/projects in Production.
- End‑to‑End DevOps Mastery: Proven, hands‑on experience driving full‑lifecycle project development using modern DevOps methodologies, CI/CD pipelines, and infrastructure automation on the Azure stack.
- Multi‑Agent Expertise: Deep experience designing and deploying multi‑agent architectures, understanding how to manage state, memory, and tool‑use across cooperating AI agents in a production environment.
- Domain Expertise: Strong understanding of the Retail and eCommerce industry and demonstrated experience implementing Gen AI solutions within Customer Contact Centers to optimize workforce efficiency.
- Data Platforms: Strong background in Azure Databricks for distributed data processing and AI workload management.
What Will Make You Stand Out
- Experience building proprietary enterprise tools or platforms that manage multi‑agent conversation state and context.
- A strong background in managing LLM model migrations and optimizations for cost, latency, and performance.
- Deep expertise in defining, calculating, and designing incentive frameworks or business performance metrics directly tied to AI project success.
