At a Glance
- Tasks: Lead enterprise AI strategy and design scalable, cloud-native AI solutions.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with significant impact on enterprise-level AI integration.
- Why this job: Shape the future of AI while collaborating with diverse teams and cutting-edge technologies.
- Qualifications: Experience in AI architecture, multi-agent systems, and cloud platforms required.
The predicted salary is between 80000 - 100000 € per year.
We are seeking a Senior Enterprise Architect (AI-Focused) to lead our enterprise AI strategy and drive the design of scalable, cloud-native AI solutions. This role will focus on agentic AI, multi-agent systems, RAG architectures, and enterprise AI integration aligned to business goals.
You will establish best practices for AI architecture, orchestration, governance, and responsible AI, while partnering with cross-functional teams to deliver secure, production-grade solutions across the organisation.
- Define and lead the enterprise AI architecture strategy, aligning agentic AI capabilities with business goals.
- Design and govern scalable AI architectures, including multi-agent systems, data pipelines, and model lifecycle management.
- Drive adoption of agentic AI frameworks and establish best practices for orchestration, tool usage, and system integration.
- Architect and oversee RAG based solutions, ensuring effective retrieval pipelines, embedding strategies, and knowledge integration.
- Lead integration of AI solutions across enterprise platforms, APIs, and third-party services.
- Establish standards for prompt engineering, multi-step orchestration, and agent behaviour design.
- Ensure robust governance, including security, compliance, auditability, and responsible AI practices.
- Collaborate with engineering, data, and business teams to deliver production grade AI systems.
- Provide technical leadership across cloud native AI platforms, particularly within Azure ecosystems.
- Mentor teams on AI architecture patterns, emerging technologies, and implementation strategies.
Senior Enterprise Architect (AI Focused) in London employer: Deepstreamtech
As a Senior Enterprise Architect (AI Focused) 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 employee growth through mentorship and continuous learning opportunities, alongside competitive benefits tailored to support your well-being. Located in a vibrant tech hub, our organisation is committed to fostering a diverse workforce and empowering you to make a meaningful impact in the realm of enterprise AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Enterprise Architect (AI Focused) in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to AI frameworks, databases, or any relevant tech. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for Senior Enterprise Architect roles, especially around agentic AI and multi-agent systems. Practise your answers and be ready to discuss your experience with Azure and other relevant technologies.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Senior Enterprise Architect (AI Focused) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with agentic AI frameworks and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for our Senior Enterprise Architect role. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your experience with Azure, Python, and any relevant databases. We’re keen to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like LangChain and Azure AI Foundry. Brush up on your knowledge of SQL and NoSQL databases, especially PostgreSQL and Azure Cosmos DB, as these will likely come up during technical discussions.
✨Showcase Your Experience with AI Frameworks
Prepare to discuss your hands-on experience with agentic AI frameworks and RAG architectures. Be ready to share examples of how you've implemented multi-agent systems or designed retrieval pipelines in past projects, as this will demonstrate your practical understanding of the role.
✨Demonstrate Your Problem-Solving Skills
Expect scenario-based questions where you’ll need to outline your approach to designing scalable AI solutions. Think about challenges you've faced in previous roles and how you overcame them, particularly in areas like API integration and model customisation.
✨Prepare for Governance and Compliance Questions
Since the role involves establishing best practices for governance and responsible AI, be prepared to discuss your understanding of security measures, compliance standards, and audit trails. Highlight any relevant experiences where you ensured compliance in AI projects.
