At a Glance
- Tasks: Design and implement cutting-edge AI solutions in financial services and capital markets.
- Company: Join a leading firm at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and enjoy a dynamic work environment.
- Why this job: Shape the future of AI while making a real impact in the financial sector.
- Qualifications: Experience in AI architecture and cloud platforms is essential.
The predicted salary is between 80000 - 100000 € per year.
Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment.
You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes.
Responsibilities- Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs
- Designing and implementing end to end AI and ML architectures across enterprise environments
- Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments
- Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation
- Evaluating and selecting technologies across open source and commercial platforms
- Designing and integrating AI solutions into existing enterprise systems and applications
- Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives
- Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle
- Supporting architecture governance, technical review boards and design authorities
- Building relationships with technical and business stakeholders across large scale transformation programmes
- Producing solution design documentation, implementation plans and technical proposals
- Providing technical leadership and mentoring within multidisciplinary teams
- Experience designing AI, ML or modern data architectures within enterprise environments
- Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies
- Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments
- Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns
- Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies
- Understanding of MLOps, LLMOps and model lifecycle management principles
- Experience designing APIs and integrating AI solutions into enterprise environments
- Strong understanding of modern data architectures and platform design principles
- Experience presenting architectural designs to technical and business stakeholders
- Financial services experience within capital markets or broader banking environments
AI Solution Architects in Manchester employer: Datatech Analytics
As a leading employer in the financial services sector, we offer Senior AI Solution Architects the opportunity to work at the forefront of AI innovation within capital markets. Our collaborative work culture fosters professional growth through mentorship and cross-functional teamwork, while our commitment to cutting-edge technology ensures that you will be shaping impactful AI strategies that drive real business outcomes. Located in a vibrant city, we provide a dynamic environment where your expertise will be valued and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architects in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services and AI sectors. Attend industry events, webinars, or meetups to meet potential employers and showcase your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your previous AI projects and solutions. Use platforms like GitHub to share your work and demonstrate your ability to translate business needs into scalable architectures.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with cloud platforms and how you've led teams in delivering AI solutions that drive business outcomes.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help shape AI architecture strategies. Your next big opportunity could be just a click away!
We think you need these skills to ace AI Solution Architects in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your background in AI, cloud, and data architecture to show us you’re the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI solutions in financial services. Share examples of how you've translated business requirements into scalable architectures, as this will resonate with our needs.
Showcase Your Technical Skills:Don’t shy away from detailing your experience with cloud platforms and AI technologies. We want to see your hands-on experience with tools like AWS, Azure, or GCP, so make sure to include relevant projects.
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at Datatech Analytics
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and ML architectures, especially in the context of financial services. Be ready to discuss specific projects where you've designed scalable solutions and how you translated business needs into technical strategies.
✨Showcase Your Cloud Expertise
Familiarise yourself with the cloud platforms mentioned in the job description, like AWS, Azure, or GCP. Prepare examples of how you've implemented AI solutions in these environments, focusing on performance optimisation and cost efficiency.
✨Prepare for Technical Leadership Questions
As a Senior AI Solution Architect, you'll need to demonstrate your ability to lead teams. Think about times when you've mentored others or led a project. Be ready to discuss how you handle technical reviews and governance in your projects.
✨Build Relationships with Stakeholders
Since this role involves working closely with various stakeholders, prepare to talk about your experience in building relationships across technical and business teams. Highlight any successful collaborations that led to measurable outcomes in previous roles.
