At a Glance
- Tasks: Lead the delivery of AI-native programs and design multi-agent systems.
- Company: Join a cutting-edge tech firm focused on real-world AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship opportunities and continuous learning.
- Why this job: Make a tangible impact in AI by working with global clients and innovative technologies.
- Qualifications: Experience in deploying agent-based systems and strong coding skills in Python or TypeScript.
The predicted salary is between 80000 - 100000 € per year.
This is not a slide-making or prompt-engineering role. We are looking for someone who has built multi-agent AI systems that run in production - not demos, not pilots that died after a sprint. You will anchor AI delivery programs end-to-end, work directly with global clients, and stay sharp on a field that changes every few weeks. You will report into and replicate the function of a senior AI delivery leader - which means you need both the depth to architect solutions and the presence to walk a CXO through what you built and why it works.
Delivery & Architecture
- Own end-to-end delivery of AI-native programs - from architecture through production deployment
- Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent
- Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets
- Define agent topology: tool routing, memory strategy, state machines, fallback handling
Agentic Coding & Development
- Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalent CLI tools
- Lead projects where AI writes significant portions of the codebase - and you guide, review, and ship it
- Work with CLAUDE.md, shared context frameworks, and multi-session agent setups for team use
- Debug non-deterministic agent outputs systematically - not by gut feel
Client & Stakeholder Engagement
- Translate business problems into agent architectures for global CXO-level stakeholders
- Run discovery workshops, solution reviews, and delivery cadences with client teams
- Prepare and present technical proposals, POC plans, and roadmaps - own the story end-to-end
Team & Practice
- Mentor junior AI engineers; raise AI engineering quality across the delivery team
- Stay current: evaluate new models, frameworks, and tooling before the hype catches up
- Contribute to internal knowledge bases, reusable frameworks, and accelerators
Skills
- Agent Orchestration: LangChain, LangGraph, CrewAI - not just conceptual
- Agentic Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, Copilot
- RAG & Vector Stores: Chroma, Weaviate, Pinecone - knows where RAG breaks
- LLM APIs & SDKs: Anthropic, OpenAI, Gemini - prompt design, tool use
- Python / TypeScript: Primary languages for agent + backend development
- LangSmith / Observability: Tracing, evaluation, debugging agent runs
- Cloud Platforms: Azure, AWS, GCP (at least one) - deployment, infra, managed services
- API & System Integration: REST, gRPC, Kafka - enterprise integration patterns
- MCP / Shared Context: Model Context Protocol, CLAUDE.md, Beads
- Agent Evaluation: Testing non-deterministic outputs, guardrails, evals
- CI/CD & DevOps: Git, containers, pipelines - agents need to ship
- Client Communication: Can present architecture to a CXO without jargon
What You Must Have Actually Done
- Deployed 2–3 agent-based systems in production - stateful, multi-step, real users
- Used LangGraph for multi-agent orchestration with memory, tool routing, and state management
- Built projects where AI (Claude Code, Codex, Cursor) wrote significant portions of the code
- Implemented RAG pipelines end-to-end - chunking, embedding, retrieval, re-ranking, evaluation
- Integrated agents with real enterprise APIs - not just OpenAI playground or sample data
- Debugged a production agent failure - and fixed it without blaming the model
- Can articulate when NOT to use agents - that is how we know you have built things
- Experience with Claude Code CLI in team environments (CLAUDE.md, shared context, multi-session flows)
- Familiarity with LangSmith for agent tracing, evaluation pipelines, and debugging at scale
- Has shipped something using MCP (Model Context Protocol) or similar shared-context tooling
- QA/testing mindset for agents - systematic evaluation of non-deterministic outputs
- Background in IT services or consulting - managing client expectations while building
- Experience with SLMs, fine-tuning, or on-device/edge agent deployment
Digital Technology Architect in London employer: Response Informatics
As a Digital Technology Architect at our company, you will thrive in a dynamic and innovative environment that champions cutting-edge AI solutions. We offer a collaborative work culture that prioritises continuous learning and mentorship, providing ample opportunities for professional growth while working on impactful projects with global clients. Located in a vibrant tech hub, our team enjoys access to the latest tools and technologies, fostering creativity and excellence in every delivery.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Technology Architect in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or conferences related to AI and digital technology. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your past projects, especially those involving multi-agent systems and real-world applications. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Practice your pitch! Be ready to explain your projects and how they solve real business problems. Tailor your story to resonate with CXO-level stakeholders, showcasing not just what you did, but why it matters.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your talents. Plus, it shows us you’re serious about joining the team. Don’t miss out on the chance to land that dream job!
We think you need these skills to ace Digital Technology Architect in London
Some tips for your application 🫡
Show Your Real Experience:When you're writing your application, make sure to highlight the actual projects you've shipped. We want to see the nitty-gritty of what you've built, especially if it involves multi-agent systems in production. Don't just tell us what you know; show us what you've done!
Tailor Your Application:Make your application stand out by tailoring it to the role. Use the language from the job description and connect your skills directly to what we're looking for. This shows us that you understand the position and are genuinely interested in joining our team.
Be Clear and Concise:We appreciate clarity! When describing your experience and skills, keep it straightforward and to the point. Avoid jargon unless it's relevant, and remember, we want to understand your journey without getting lost in technical details.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and what we stand for.
How to prepare for a job interview at Response Informatics
✨Know Your Stuff
Make sure you can talk in detail about the multi-agent AI systems you've built. Be ready to discuss specific projects where you've deployed these systems in production, not just theory. Highlight your experience with tools like LangChain and Claude Code, and be prepared to explain how you integrated them with enterprise APIs.
✨Showcase Your Problem-Solving Skills
During the interview, focus on how you've translated complex business problems into effective agent architectures. Prepare examples of discovery workshops or solution reviews you've led, and how you engaged with CXO-level stakeholders to ensure they understood the value of your solutions.
✨Demonstrate Your Technical Acumen
Be ready to dive deep into the technical aspects of your work. Discuss your experience with debugging non-deterministic outputs and how you've systematically evaluated agent performance. Familiarise yourself with the latest models and frameworks, as staying current is key in this fast-evolving field.
✨Communicate Clearly and Confidently
Practice presenting your architectural designs and technical proposals without jargon. You need to convey complex ideas simply and effectively, especially to non-technical stakeholders. This will show that you can bridge the gap between technical delivery and client communication.
