At a Glance
- Tasks: Design and deliver innovative data-driven solutions and AI systems for diverse clients.
- Company: Join a leading Digital and Cyber Security consultancy driving impactful change.
- Benefits: Competitive salary, health perks, learning opportunities, and flexible work options.
- Why this job: Be at the forefront of AI and data innovation, making a real difference.
- Qualifications: Expertise in solution design, data engineering, and AI/ML platforms required.
- Other info: Dynamic team culture with opportunities for mentorship and career growth.
The predicted salary is between 36000 - 60000 £ per year.
We are partnered with a leading Digital and Cyber Security consultancy, specialising in delivering private and public sector programmes that modernise the systems, processes, and technologies. They drive impactful change through advanced digital solutions and are looking to onboard an experienced Solution Architect focused on Data & AI to join our client’s dynamic team. In this role, you will lead the design and delivery of data-driven solutions and AI-powered systems, specifically tailored to meet the needs of public and private sector clients.
RESPONSIBILITIES
- Design and develop scalable, secure, and resilient data architectures on AWS, Azure, and GCP.
- Govern enterprise-wide data models, pipelines, and AI frameworks for ingestion, storage, and processing.
- Build real-time and batch data solutions using Kafka, Spark, Kinesis, and Pub/Sub.
- Develop machine learning pipelines, MLOps best practices, and automated model deployment.
- Architect cloud-based data lakes, warehouses, and AI-driven analytics platforms.
- Champion compliance to data governance, privacy, and security standards (GDPR, ISO 27001, NIST).
- Provide technical executive-level availability and aid to renewal in AI, ML, and scalable cloud data platforms.
- Define ETL/ELT strategies and optimize cloud resources for performance and cost efficiency.
- Develop proposals in collaboration with the sales team for AI and data-driven solutions.
- Deliver RFP responses, PoCs, demos, and presentations to showcase AI capabilities.
- Provide guidance to stakeholders on AI-driven innovation, modernization, and cloud adoption.
- Align AI and data strategies with business goals and engage executives and engineers.
- Act as a trusted advisor in making sure that AI and data solutions deliver real value.
- Represent the company in industry events, conferences, and thought leadership initiatives.
- Lead technical workshops, hackathons, and training sessions, creating a culture of innovation.
- Mentor teams on best practices in data engineering, AI model development, and cloud architectures.
- Design AI and data solutions for government regulation and security compliance.
- Partner with government stakeholders to address complex challenges using AI.
- Clearly communicate complex technical concepts to non-technical stakeholders.
EXPERIENCE & SKILLS REQUIRED
- Expertise in solution design, data engineering, and AI/ML platform construction.
- Good with artificial and machine learning systems (Google Vertex AI, Azure ML, AWS SageMaker) and contemporary data tools (BigQuery, Databricks, Snowflake, Spark, Kafka).
- Good grasp of accountable artificial intelligence, ethics, and model explainability.
- Proficient in integrating artificial intelligence with API-first, microservices, and event-driven designs.
- Experienced with end-to-end AI/ML solutions, governance, AI roadmaps, and regulatory compliance.
- Technical presales, proposal writing, cognitive services, and AI automation expertise.
- Engages senior managers in AI change; runs seminars and PoCs; offers business and government customers AI solutions.
- Well versed in public sector policies and compliance frameworks.
CERTIFICATIONS (Highly Desirable)
- Cloud certifications for instance AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, etc.
- AI/ML certification relevant to current industry standards.
BENEFITS
- Salary depending on experience and background.
- Health Benefits: 24/7 GP Access, Counselling Services, Virtual Physiotherapy, Discounted Gym Memberships, Virtual Gym Classes, Discounted Private Health Cover, Eye Care Discounts.
- Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings.
- Education Benefits: Learning Courses, Business Skills Training.
*Offered only to employees based in the UK.
Seniority level Mid-Senior level
Employment type Full-time
Job function Consulting
Industries Technology, Information and Media
Solution Architect in England employer: Inspirec
Contact Detail:
Inspirec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect in England
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to data and AI. You never know who might have a lead on your dream Solution Architect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data architectures and AI solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each application. Research the company and align your experience with their needs. When you apply through our website, make sure to highlight how your skills match their specific requirements.
✨Tip Number 4
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with cloud platforms and AI tools. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
We think you need these skills to ace Solution Architect in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Solution Architect. Highlight your experience with data architectures, AI systems, and any relevant cloud certifications. We want to see how your skills align with what our client is looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how you can drive impactful change. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: In your application, be sure to highlight your proficiency with tools like AWS, Azure, and GCP, as well as your experience with Kafka, Spark, and machine learning pipelines. We love seeing concrete examples of how you've used these technologies in past roles!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Inspirec
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Azure, GCP, and tools like Kafka and Spark. Brush up on your knowledge of data architectures and AI frameworks, as you’ll likely be asked to discuss how you’ve implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when it comes to designing scalable solutions or navigating compliance issues.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers by asking insightful questions about their current projects or challenges. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
✨Demonstrate Your Leadership Abilities
As a Solution Architect, you’ll need to lead teams and mentor others. Be ready to share examples of how you’ve guided teams in the past, whether through workshops, training sessions, or collaborative projects. Highlight your ability to communicate complex concepts to non-technical stakeholders.