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For Companies At a Glance
- Tasks: Lead the design and delivery of advanced AI systems with a hands-on approach.
- Company: High-growth Data & AI consultancy focused on innovation.
- Benefits: Flexible hybrid working, exposure to diverse clients, and a collaborative culture.
- Why this job: Shape the future of agentic AI solutions and make a real impact.
- Qualifications: Experience in building AI systems, strong Python skills, and client engagement.
- Other info: Opportunities for mentorship and professional growth in a dynamic environment.
The predicted salary is between 48000 - 84000 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
Research indicates that men will apply to a role when they only meet 50â60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, donât worry if you donât tick every single box. Weâd still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs. Referrals increase your chances of interviewing at Primis by 2x.
AI & Systems Architect Associate Director 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
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 AI projects and systems you've architected. This is your chance to demonstrate your hands-on experience and make a lasting impression during interviews.
â¨Tip Number 3
Prepare for those interviews! Research the company and its AI initiatives, and be ready to discuss how your experience aligns with their goals. Practice common interview questions and think about how you can showcase your problem-solving skills.
â¨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. Plus, it gives you a better chance of standing out in the crowd!
We think you need these skills to ace AI & Systems Architect Associate Director
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 you can contribute to our team. Share specific examples of your work that demonstrate your expertise in AI/ML concepts and system architecture.
Showcase Your Communication Skills: Since this role involves client engagement, it's crucial to demonstrate your ability to communicate complex ideas clearly. Use your application to show how you've influenced stakeholders in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. Itâs the easiest way for us to keep track of your application and ensure it reaches the right people!
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 projects you've worked on.
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 architectural standards and design principles. Brush up on your Python skills and be prepared to discuss how you've integrated AI solutions with cloud-native infrastructure and enterprise data platforms.
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 improve their skills. Be ready to share your vision for shaping internal best practices in AI system delivery.
