Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and delivery of advanced AI systems with a focus on innovation.
- Company: High-growth Data & AI consultancy with a collaborative culture.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of AI solutions and make a real impact in the industry.
- Qualifications: Experience in building AI systems and strong Python development skills.
- Other info: Join a dynamic team focused on learning and innovation.
The predicted salary is between 43200 - 72000 ÂŁ per year.
A highâgrowth Data & AI specialist consultancy is seeking a senior AI Systems Architect to lead the design and delivery of advanced, productionâgrade agentic AI systems. This role sits at the intersection of handsâon architecture, client engagement, and internal capability development, and is suited to someone who wants to shape how nextâgeneration AI solutions are built and deployed at scale.
The Opportunity
You will take ownership of endâtoâend AI system architecture, working closely with engineering teams and client stakeholders to design robust, secure, and commercially viable solutions. In parallel, you will play a key role in shaping internal best practice, supporting goâtoâmarket activity, and establishing thought leadership in the agentic AI space.
Key Responsibilities
- Architect and deliver agentic AI systems using modern orchestration frameworks and custom approaches
- Define architectural standards covering scalability, reliability, security, cost, and responsible AI principles
- Integrate AI solutions with enterprise data platforms, APIs, and cloudânative infrastructure
- Provide technical input into client workshops, proposals, and solution design phases
- Mentor and guide engineers and consultants, raising the bar for AI system delivery
- Track and apply advances in LLMs, autonomous agents, reinforcement learning, and simulationâbased systems
What Weâre Looking For
- Demonstrated experience building and deploying agentic or autonomous AI systems in realâworld environments
- Strong grounding in AI/ML concepts, including multiâagent systems and decisionâmaking frameworks
- Proven ability to design complex, distributed systems that embed AI components
- Strong Python development skills; exposure to Infrastructure as Code and cloud automation is advantageous
- Confident communicator with experience influencing technical and nonâtechnical stakeholders
- Background in consultancy or clientâfacing delivery environments
Why This Role
- Exposure to a broad mix of startâup, scaleâup, and enterprise clients
- A senior platform to influence how agentic AI capabilities are built and commercialised
- Collaborative, highâcalibre engineering culture with a strong focus on learning and innovation
- Flexible, hybrid working model
We encourage underrepresented talent to apply to all our roles & support accessibility needs.
AI & Systems Architect Associate Director in London employer: Primis
Contact Detail:
Primis Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land AI & Systems Architect Associate Director in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI systems architecture. This could be anything from personal projects to contributions to open-source. Itâs a great way to demonstrate your expertise beyond just a CV.
â¨Tip Number 3
Prepare for interviews by brushing up on common questions and scenarios specific to AI systems architecture. Practice articulating your thought process and decision-making in past projects. Confidence is key!
â¨Tip Number 4
Donât forget to apply through our website! Weâre always on the lookout for talent that fits our culture and values. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI & Systems Architect Associate Director in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Systems Architect role. Highlight your experience in building agentic AI systems and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for this position. Be sure to mention specific examples of your work that relate to the job description.
Showcase Your Technical Skills: Donât forget to emphasise your Python development skills and any experience with cloud automation or Infrastructure as Code. We want to see how you can contribute to our engineering culture!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Primis
â¨Know Your AI Stuff
Make sure you brush up on your knowledge of agentic AI systems and the latest trends in AI/ML. Be ready to discuss your hands-on experience with building and deploying these systems, as well as any relevant frameworks you've used.
â¨Showcase Your Communication Skills
Since this role involves engaging with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think about examples where you've successfully influenced clients or team members in previous roles.
â¨Prepare for Technical Questions
Expect to dive deep into your technical expertise during the interview. Brush up on your Python skills and be prepared to discuss architectural standards, scalability, and security principles. You might even want to run through some coding challenges to keep your skills sharp.
â¨Demonstrate Leadership Potential
This role requires mentoring and guiding others, so think of instances where you've taken the lead on projects or helped colleagues grow. Be ready to share how you can raise the bar for AI system delivery within the team.
