51 to 59 of 59 Multi-Agent System Jobs in London

this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components — building, integrating, and testing AI system modules as a practitioner — alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide … cost efficiency, performance, and enterprise‐grade reliability Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements Architect and implement foundation model integrations — selecting the right models ...

supporting pre-sales activities Deep familiarity with cloud AI platforms (AWS, Azure, GCP), Generative AI toolstacks, agentic frameworks, and multi-agent system design Excellent communication and presentation skills, with proven ability to engage C-suite executives, technical teams, and business ...

agency and a certain passion for bending time. The Role We are running an engagement to design and build an AI agent system that manages a complex, high-value transaction workflow for a large enterprise client, from initial engagement through close-out, across … strong track record of designing and shipping production-grade systems, and recent hands-on experience architecting LLM or multi-agent systems. Agent Systems Expertise: Deep, hands-on experience with agent orchestration, tool ...

specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi‐agent system design, data science, and NLQ to deliver complex, high‐impact initiatives. You will mentor and guide a team … reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types. Develop multi‐agent systems for orchestration, agent‐to‐agent communication, memory, telemetry, guardrails ...

stakeholders. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi‐agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self‐reflection, hierarchical delegation). Experience … Responsibilities: Serve as a developer for complex AI applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google ...

Vice President to lead deployment of AI solutions in Risk Technology. This role requires expertise in software engineering, multi-agent system design, data science, and natural language querying. The ideal candidate will possess a Bachelor's or Master's degree ...

lead enterprise‐scale data pipelines while mentoring junior engineers. The role blends scientific research with software development, requiring strong Python, AWS, and system design skills, and the ability to communicate with senior leadership. #J-18808-Ljbffr ...

Edra is seeking Forward Deployed AI Engineers to join a deeply technical team building production-ready, multi-agent AI systems for enterprise customers. You’ll own the full technical journey from problem discovery to production, including designing LLM-powered workflows, evaluating … operation in real-world deployments. You’ll collaborate with customers and our engineers to ship scalable solutions that integrate knowledge bases, tickets, and system logs, while #J-18808-Ljbffr ...

systems are designed, built and sold. the company's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition … Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems. Developing and testing multi-agent autonomous systems and deploying in real-world environments. Feature and algorithm development with an understanding of behavior trees. Developing software ...