Data & AI Solutions Architect

Northfleet
2 months ago
Applications closed

Related Jobs

View all jobs

Data & AI Solution Architect, Azure, Remote

Data Scientist, Generative AI Innovation Center

Data Science Manager

Associate Director, Data Science and Innovation

Machine Learning and AI Engineering Lead

Staff Machine Learning Engineer Sydney

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 solution and are looking to onboard an experienced Solution Architect.
We are looking for a highly skilled and 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 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 optimise 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, modernisation, 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).
  • Good grasp of accountable artificial intelligence, ethics, and model explainability. Proficient in integrating artificial intelligence with APIfirst, microservices, and eventdriven 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*
  • Out client prioritises employee well-being and mental health by offering a comprehensive range of benefits so to enhance both health and career growth.
  • 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

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Jobs

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.