10 of 10 Permanent Autonomous Agent Jobs in England

bases, ticketing systems, order management, etc.). Identify data gaps, recommend remediation strategies, and help customers build the data foundation required for effective AI agent tool use and RAG-powered responses.Agentic AI Architecture and forward deploy implementation: Design and configure agentic AI solutions within Amazon Connect, including AI agent creation, AI prompt engineering, model selection, guardrail configuration, and tool/action integration.A2A (Agent-to-Agent) Integration: Architect Agent-to-Agent communication patterns that allow Amazon Connect AI agents to collaborate with specialized agents across the enterprise (e.g., billing agents, order management agents, IT support ...

working with computer vision, radar, sensor fusion, geospatial data or similar data-rich environments. Knowledge of Large Language Models (LLMs), agentic AI workflows, autonomous agents or advanced AI applications. Experience deploying and operating solutions through AWS, MLOps or DevOps practices. The ability to work across the full lifecycle ...

implement AI and LLM-powered applications leveraging Retrieval-Augmented Generation (RAG), autonomous agents, and orchestration frameworks. Demonstrate proficiency in Python and agent frameworks such as LangChain, LlamaIndex, or AutoGen. Rapidly develop functional prototypes and production-ready demos within project timelines. Commercial & Growth EnablementSupport identification and pursuit … platforms: Azure, AWS, GCP.Familiarity with DevOps practices including CI/CD, Infrastructure as Code (Terraform, Ansible), monitoring, and logging. Exposure to agentic architectures, multi-agent orchestration, or cognitive harness patterns. Consulting or technical delivery experience with enterprise clients. Demonstrated ability to contribute to complex technical engagements and collaborate with ...

internal teams. You will sit at the forefront of AI transformations that accelerate drug commercialization, streamline field engagement, and modernize operations through intelligent, autonomous agents. ResponsibilitiesLeverage AI tooling and workflow automation to optimize program delivery, reduce manual overhead, and drive efficiency for your project teams. Define the program ...

learnings back to Docusign product and engineering teamsDevelop robust data pipelines, containerized microservices, distributed system architectures, and system context management repositories to ensure autonomous AI tools operate accurately and reliablyMaintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacksSynthesize field learnings … implementing LLMs, production-grade GenAI applications, autonomous agents, and or orchestration frameworks for production level software, with a preference for experience designing agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handlingExperience working directly with customers during POCs, architecture ...

services and privileged access management to pioneering the design of next-generation agentic AI identity management frameworks that will define how BCG secures autonomous agents and non-human workloads. The leader will oversee four core teams — Directory Services, Privileged User Management, Identity Governance & Administration (IGA), and Secure Data … reduce manual access provisioning, improve access review efficiency, and enforce least-privilege principles at scale. Design and implement governance frameworks that extend to AI agent identities, covering creation, scoping, review, and decommissioning of agentic permissions. Partner with HR, Legal, and ISRM to ensure identity governance processes remain compliant with ...

prototype to production, solving complex business challenges through LLMs, autonomous agents and intelligent automation. Key Responsibilities Build and deploy single and multi-agent systems, RAG pipelines and AI-powered workflows. Work with leading AI platforms and frameworks, including OpenAI, Anthropic, Google, Microsoft and LangGraph. Integrate AI solutions … engineering experience in Python, TypeScript, Java or similar languages. Hands-on experience building LLM-powered applications and AI agents. Understanding of RAG, tool-calling, agent orchestration and multi-agent workflows. Experience with APIs, databases, cloud platforms and enterprise integrations. Strong debugging, testing and problem-solving skills. Comfortable working ...

capabilities. Provide hands-on technical leadership across architecture, system design, code reviews and complex engineering challenges. Drive the adoption of AI, LLMs and autonomous workflows to accelerate vulnerability discovery, exploit reproduction, security analysis and automation. Champion research, experimentation and rapid prototyping, turning promising technical concepts into robust, production … experience that would be particularly valuable includes: Hands-on offensive security, penetration testing, exploit development or red teaming. Building AI-powered security products, autonomous agents or multi-stage LLM orchestration systems. Developing large-scale threat intelligence, vulnerability research or automated security assessment technologies. Contributions to open-source security ...

candidate will have a track record of leading AI research or applied machine learning teams in production environments, with particular expertise in LLMs, autonomous agents, model evaluation and continuous improvement systems. Experience within banking, financial services, fintech, compliance, AML, fraud detection, risk management or other regulated environments would … team of AI Researchers and ML Engineers while remaining hands-on with the most complex technical challenges Drive model training, fine-tuning, distillation, agent development and evaluation frameworks Develop AI systems for compliance, financial crime, due diligence and fraud detection use cases Establish benchmarking, validation, governance and explainability standards ...

candidate will have a track record of leading AI research or applied machine learning teams in production environments, with particular expertise in LLMs, autonomous agents, model evaluation and continuous improvement systems. Experience within banking, financial services, fintech, compliance, AML, fraud detection, risk management or other regulated environments would … team of AI Researchers and ML Engineers while remaining hands-on with the most complex technical challenges Drive model training, fine-tuning, distillation, agent development and evaluation frameworks Develop AI systems for compliance, financial crime, due diligence and fraud detection use cases Establish benchmarking, validation, governance and explainability standards ...