At a Glance
- Tasks: Design and architect cutting-edge AI solutions for enterprise-scale Generative AI platforms.
- Company: Leading tech firm specialising in innovative AI/ML solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Join a team at the forefront of AI technology and make a significant impact.
- Qualifications: 10+ years in AI/ML with strong experience in cloud architecture and MLOps.
The predicted salary is between 80000 - 100000 £ per year.
AI Architect with 10+ years of experience across AI/ML based agentic AI solutions and 4+ years architecting enterprise-scale Generative AI platforms in regulated environments. Strong in designing secure, scalable AI solutions and operating models across multi-cloud and hybrid estates, selecting services based on client constraints, risk posture and total cost.
Proven in MLOps frameworks, delivery governance from strategy to production, compliance and enterprise standards.
- Generative AI LLM Architecture: RAG systems, embeddings, prompt orchestration, tool/function calling, evaluation, safety/guardrails
- Cloud Architecture (multi-cloud): GCP (Vertex AI, BigQuery, GKE), Azure (Azure OpenAI, Azure ML, AKS), AWS (SageMaker, Lambda, API Gateway)
- AI DevOps/MLOps: CI/CD, Terraform/IaC, model prompt versioning, LLM evaluation (LLM-as-Judge, RAGAS), monitoring/observability (Langfuse), cost optimisation
- Delivery Governance: programme planning, roadmap ownership, risk dependency management, stakeholder alignment, executive reporting
- Data Analytics: Data lakes/warehouses, ETL/ELT, PySpark, SQL, BI integration, data quality and lineage
Agentic AI employer: Mpower Plus UK Ltd
As an innovative leader in AI solutions, our company offers a dynamic work environment that fosters creativity and collaboration among top-tier professionals. With a strong commitment to employee growth, we provide extensive training opportunities and a culture that values diversity and inclusion, ensuring that every team member can thrive. Located in a vibrant tech hub, we also offer competitive benefits and the chance to work on cutting-edge projects that make a real impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space, especially those who work with agentic AI solutions. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with Generative AI platforms and MLOps frameworks. Use GitHub or a personal website to display your projects and contributions – it’s a great way to stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cloud architectures and delivery governance. Be ready to discuss how you've tackled challenges in regulated environments and how you ensure compliance and security in your AI solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented individuals like you. Plus, it’s a straightforward way to get your application noticed by the right people.
We think you need these skills to ace Agentic AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI/ML and generative AI platforms. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about agentic AI and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise in cloud architecture and MLOps frameworks. We’re looking for someone who can navigate multi-cloud environments, so be specific about the tools and technologies you’ve worked with.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’re good to go!
How to prepare for a job interview at Mpower Plus UK Ltd
✨Know Your Stuff
Make sure you brush up on your AI and ML knowledge, especially around agentic AI solutions. Be ready to discuss your experience with generative AI platforms and how you've tackled challenges in regulated environments.
✨Showcase Your Architecture Skills
Prepare to talk about specific projects where you've designed secure and scalable AI solutions. Highlight your experience with multi-cloud architectures and how you selected services based on client constraints and risk posture.
✨MLOps Mastery
Be ready to dive into your experience with MLOps frameworks. Discuss your approach to delivery governance, from strategy to production, and how you've ensured compliance with enterprise standards.
✨Data Analytics Know-How
Familiarise yourself with data lakes, ETL/ELT processes, and BI integration. Be prepared to explain how you've managed data quality and lineage in your previous roles, as this will show your comprehensive understanding of the data landscape.
