1 to 25 of 36 Digital & IT Jobs

RESPONSIBILITIES Design, develop, and maintain AI-powered validation and automation frameworks using Python. Build intelligent agents and automation workflows using Model Context Protocol (MCP) and similar agent-based architectures. Integrate foundation models through cloud AI platforms and services. Develop prompt engineering strategies, evaluation frameworks, and AI guardrails to ensure reliable … Python development skills. Knowledge of Generative AI, Large Language Models (LLMs), and AI automation frameworks. Experience with agentic AI architectures and Model Context Protocol (MCP) concepts. Familiarity with cloud-based AI services and model hosting platforms. Experience designing and consuming RESTful APIs and web services. Understanding of microservices architecture ...

sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks like ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

cloud-hosted applications, with App Insights for monitoring. Active use of AI coding assistants and experience integrating LLM APIs and building agentic workflows or MCP servers. Strong working knowledge of security principles including OWASP Top 10, GDPR, and ISO27001. Experience in a small team or full-stack ownership environment, comfortable ...

ways to make the process better each time You have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

check what they produce A structured, detail-focused approach and the confidence to work across several teams at once Desirable: Playwright (especially Playwright MCP), Selenium or Puppeteer, API testing, Azure Synapse, Microsoft Fabric, Power BI, Tableau, UiPath, cloud platforms, a degree in Computer Science or a related subject This role ...

guide and review AI‐generated code with confidence. Hands‐on experience building agentic systems using frameworks such as LangGraph, Microsoft Agentic Framework, or MCP, with a solid understanding of LLM capabilities and risks. Experience designing and running experiments to validate ideas quickly, using technical prototypes, customer feedback, and lean startup ...

agent AI systems across customer-facing and operational domains. Defining and owning Aviva’s canonical engineering patterns for applied AI, including orchestration architectures, context engineering, MCP integration, memory design, fine-tuning and multimodal systems. Building and maintaining a reusable library of agent tools, MCP servers, skills and shared engineering assets … design). Context & Retrieval: Advanced context engineering expertise, including multi-hop retrieval, knowledge graphs (Neptune/Nebula), structured memory injection and dynamic prompt construction. MCP & Tooling: Advanced knowledge of Model Context Protocol (MCP), designing and implementing server architectures for enterprise tooling integration. Model Fine-Tuning: Experience with model fine-tuning ...

Models (LLMs) and the trade-offs between latency, capability, cost, and model sizing. Awareness of emerging AI protocols and standards (e.g., Model Context Protocol [MCP], Agent2Agent [A2A]). Exposure to automated AI evaluation, output benchmarking, and testing tools for AI-driven capabilities. R&D at AVEVA Our global team ...

LLMs * Retrieval Augmented Generation (RAG) * Multi-Agent Systems * MLOps/LLMOps * LangGraph, LangChain, Semantic Kernel, CrewAI or AutoGen * OpenAI Agents, Microsoft Copilot Studio and MCP * Azure, AWS or GCP Education * 2:1 degree or above from a Russell Group university in Computer Science, Artificial Intelligence, Mathematics, Physics, Engineering … Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

Large Language Models (LLMs), Retrieval‐Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Experience with tools for automated testing and evaluation of AI outputs Experience working in Agile teams and collaborating across global ...

Clinical Operations team deliver faster, more consistent customer support. Cross-system integration. Build and maintain integrations across Box, JIRA, HiBob and other platforms, including MCP-based and Claude Code-driven automations to remove manual handoffs between teams. GxP-aware delivery. Ensure every automation touching a validated or GxP-relevant system … Prior experience in a regulated environment (GxP, ISO 27001, medical devices, or clinical trials). Familiarity with computerised system validation (CSV) concepts. Exposure to MCP, agentic automation patterns, or workflow tooling. Understanding of information security fundamentals (access control, data classification, least privilege). What can you expect from ...

tooling while leveraging EAI's token management, AI gateway, MCP gateway and agentic orchestration standards. Leverage agent orchestration standards, knowledge systems, guardrails and Model Context Protocol platforms for agentic AI. Contributes to the enterprise agent catalogue, owned by EAI, keeps agents consistently registered and linked to governance, cyber, legal … Experience Recognised thought leadership in applied AI, agentic AI or AI-enabled IT transformation Agentic AI architecture and orchestration Experience with agentic AI, Model Context Protocol, retrieval and enterprise knowledge systems Experience with AI-native ITSM, AIOps, developer tooling or cloud migration Knowledge of token economics, FinOps or consumption-based ...

create reusable components, improve developer tooling and documentation, support consuming teams, and help shape modern design-to-development workflows; using Figma, MCP integrations, agentic cloud workflows and AI-assisted engineering tools. This is not an "AI for AI's sake" role: the goal is practical engineering impact, better component reuse … they improve quality, speed, consistency, or developer self-service. Help make DDS documentation and component metadata more useful to humans and AI agents through MCP-ready context, examples, and clear constraints. Lead through senior engineering craft: architectural judgment, code review, mentoring, pragmatic delivery, technical clarity, and high-quality communication. Relocation ...

tools, and enterprise applications. Design, build, test, and scale AI concepts, internal products, mini apps, and reusable enterprise solutions across AI workflows, API and MCP style integrations, AI coding assistants, and agentic use cases. Contribute to Arm’s emerging technical AI roadmap by assessing models, frameworks, whitepapers, open-source projects ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

deploy, and operate production-grade AI systems with focus on reliability, scalability, and performance. Expertise in Agentic AI systems: RAG, prompt engineering, LLM integration, MCP, agentic workflows, model evaluation, fine tuning. Cloud infrastructure expertise in the deployment of AI apps (AWS preferred). Expertise in CI/CD best practice ...

Fluency with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast‐moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non‐engineers — you are the kind of person who'll sit with a scientist to understand ...

physical world: cameras, robots, parts rotated by 90°. Bonus: computer vision, optimisation or electronics. Stack Agents: Claude Code, Codex, Claude and OpenAI APIs, MCP, skills in plain Markdown Code: TypeScript (Bun, React), Python (FastAPI, Dagster, OpenCV, OR-Tools), PostgreSQL Infra: Nix and NixOS, Nomad, Terraform, Vault, AWS, Modal sandboxes ...

partners and colleagues connecting into the Altium ecosystem. The Development Center will fully detail the capabilities of the Platform’s APIs, SDKs, Connectors and MCP servers along with how to easily access them, allowing users and AI clients to adapt, automate and configure Altium products and services. The successful candidate ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

this way, we want to talk to you. You have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

growing engineering team building AI-enabled solutions for connected products and digital services. You will design and implement AI validation frameworks, leverage LLMs, MCP concepts, and cloud platforms in a Python stack, delivering scalable APIs and robust automation across distributed teams. The role emphasizes collaboration, quality, and continuous improvement, with ...

DAST adoption and quality, from tool tuning to severity calibration and developer-facing triage guidance Support product teams adopting AI, including LLMs, SLMs, and MCP, giving you visibility into work most security roles wouldn't touch What Makes You a Great Fit Hands-on product or application security experience, embedding ...