At a Glance
- Tasks: Lead the design and scaling of enterprise-grade AI and intelligent platforms.
- Company: Join a forward-thinking firm at the forefront of technology innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Shape the future of AI and make a real impact in a dynamic environment.
- Qualifications: Proven experience in AI architecture and strong leadership skills required.
The predicted salary is between 81000 - 99000 £ per year.
Emerging Technology Delivery Lead is a senior hands-on technology leadership role responsible for designing, operationalising and scaling enterprise-grade AI, data and intelligent platform capabilities across the firm.
The role bridges execution, translating emerging technology vision, architecture blueprints and innovation initiatives into secure, scalable and supportable enterprise solutions.
Reporting into and working closely with the Principal Strategist Emerging Technologies, the role is accountable for shaping and delivering intelligent platform architectures that enable AI-assisted workflows, advanced analytics, semantic capabilities, automation and knowledge-driven services.
The role combines deep technical expertise with strong delivery leadership and engineering collaboration to ensure innovative solutions move successfully from experimentation into enterprise adoption.
- Primary Responsibilities
- Participate to day scrum, manage ADO board with Scrum Master
- Design and build scalable enterprise AI and intelligent platform architectures aligned to enterprise strategy and governance standards
- Define reference architectures, patterns and integration models supporting the System of Intelligence (SOI)
- RAG and Graph RAG solutions
- Knowledge graphs and semantic platforms
- AI orchestration and agentic workflows
- AI integration layers and APIs
- Vector databases and retrieval platforms
- AI-assisted workflow automation
- Ensure AI platforms integrate effectively with enterprise systems, identity models, security controls and data platforms
- Define reusable architecture patterns and engineering standards for AI-enabled solutions
- Delivery & Engineering Enablement
- Work closely with engineering, platform, security and data teams to operationalise intelligent platform capabilities
- Lead technical delivery alignment from proof-of-concept through production adoption
- Support engineering teams with architecture guidance, implementation oversight and technical governance
- Establish scalable delivery patterns for AI solutions across cloud and hybrid environments
- Ensure solutions are observable, supportable, resilient and operationally sustainable
- Accelerate transition from innovation initiatives into business-as-usual services
- AI Governance & Responsible AI
- Ensure AI capabilities align with security, privacy, compliance and governance requirements
- Embed responsible AI principles into architecture patterns and delivery processes
- Define runtime controls, monitoring, traceability and human-in-the-loop governance mechanisms
- Support AI inventory management, model governance and architectural traceability
- Contribute to AI risk assessments, threat modelling and regulatory alignment activities
- Ensure alignment with emerging regulatory frameworks including EU AI Act, NIST AI RMF and enterprise governance standards
- Data, Semantic & Knowledge Architecture
- Support development of enterprise semantic and knowledge capabilities
- semantic models
- metadata-driven platforms
- knowledge graph integration
- unstructured data processing
- Ensure trusted and governed data foundations underpin AI-enabled capabilities
- Collaborate with data architecture and engineering teams to align AI and data strategies
- Innovation & Emerging Technology Enablement
- Evaluate emerging technologies, tools and platforms relevant to intelligent systems and enterprise AI
- Support innovation initiatives and experimentation activities within the Innovation Lab
- Help mature experimental solutions into scalable enterprise capabilities
- Contribute to strategic technology roadmaps and capability evolution plans
- Maintain awareness of external market trends, vendor ecosystems and AI platform evolution
Qualifications, skills and experience
- Extensive experience in building technology solutions including architecture, AI platforms or advanced technology delivery roles
- Strong hands-on experience designing enterprise-grade AI and data platform architectures
- Experience operationalising AI or advanced analytics solutions within regulated or complex environments
- Experience translating proof-of-concepts into scalable enterprise services
- Strong understanding of modern cloud-native architecture patterns
- Experience working across architecture, engineering, security and operational teams
- Experience influencing senior stakeholders within matrixed organisations
- Technical skills
- AI orchestration and agentic workflow architectures
- RAG and Graph RAG architectures
- Knowledge graphs, ontologies and semantic technologies
- Vector databases and semantic retrieval patterns
- Microsoft Fabric, Azure AI and modern cloud platforms
- API and integration architecture
- Enterprise security and identity models
- Threat modelling and AI governance
- Observability and operational monitoring patterns
- Structured and unstructured data architectures
- Model lifecycle management and AI operationalisation
- Dev Sec Ops and platform engineering principles
- Translating legal and business problems into analytical use cases
- Understanding limitations and risks of statistical and ML models
- Large Language Models (LLMs) and Gen AI patterns
- RAG architectures, agentic workflows and orchestration
- AI service integration via APIs and model abstraction layers
- Runtime guardrails, monitoring and human in the loop controls
- AI governance frameworks and risk assessment
- Maintaining AI inventories and architectural traceability
- #J-18808-Ljbffr
Emerging Technology Delivery Lead in London employer: Herbert Smith Freehills Kramer
HSF Kramer is an exceptional employer, offering a dynamic work environment in Belfast that fosters collaboration and innovation within the banking and finance sector. Employees benefit from engaging in high-profile transactions while enjoying opportunities for professional growth and development, supported by a culture that values teamwork and client relationships. With access to a global network and the chance to work alongside leading experts, HSF Kramer provides a rewarding career path for solicitors looking to make a significant impact in digital finance.
Contact Details:
Herbert Smith Freehills Kramer Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Emerging Technology Delivery Lead in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Herbert Smith Freehills Kramer or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Herbert Smith Freehills Kramer.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Herbert Smith Freehills Kramer.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Herbert Smith Freehills Kramer that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Emerging Technology Delivery Lead in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Herbert Smith Freehills Kramer.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Herbert Smith Freehills Kramer and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Herbert Smith Freehills Kramer
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Herbert Smith Freehills Kramer uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
