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- Tasks: Lead the design and packaging of innovative data & AI solutions for clients.
- Company: GlobalLogic, part of Hitachi Group, excels in digital product engineering across 23 countries.
- Benefits: Enjoy hybrid work options, health plans, gym discounts, and a competitive pension scheme.
- Why this job: Join a dynamic team at the forefront of AI innovation and make a real impact.
- Qualifications: 5+ years in data & AI consulting with a proven track record in closing major deals.
- Other info: Participate in fun social events like quiz nights and sports activities.
The predicted salary is between 43200 - 72000 £ per year.
We are GlobalLogic, a Hitachi Group Company. Based across 23 countries, GlobalLogic is a global leader in digital product engineering. We help our clients design and build innovative products, platforms, and digital experiences for the modern world. By integrating our strategic design, complex engineering, and vertical industry expertise with Hitachi’s Operating Technology and Information Technology capabilities, we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses.
GlobalLogic is seeking a Go-to-Market (GTM) AI Architect to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and innovation - shaping and scaling our Data & AI offerings across four transformative domains:
- Data & ML Operations
- Generative & Agentic AI
Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront of data & AI innovation during a period of exciting expansion for GlobalLogic. Design, refine, and package cutting-edge data & AI offerings for GlobalLogic’s customers - primarily focused on data platforms & data product engineering.
We’re looking for a candidate who blends deep technical expertise with strong commercial instincts and a passion for data-driven transformation.
Requirements:
- 5+ years of consulting and/or delivery experience in data & AI, ideally within professional services or a high-growth tech environment.
- A successful track record of developing and closing £M+ data & AI deals with business stakeholders.
- Strong expertise in market offerings and related solutions in AI and Machine Learning.
We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs.
You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), and discounted gym memberships. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. We also love to stay social at our quiz nights, sports events, theatre trips and much more.
We bring this mindset to our clients and their projects, helping them accelerate the creation of game-changing solutions to elevate and save lives, creating a better future for each other and the world around us.
Machine Learning Architect employer: GlobalLogic
Contact Detail:
GlobalLogic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Architect
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to data platforms and product engineering. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the industry, particularly those who work at GlobalLogic or similar companies. Attend relevant conferences, webinars, or local meetups to make connections that could lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully developed and closed significant data and AI deals. Highlight your commercial instincts and technical expertise to show you're a perfect fit for this high-impact role.
✨Tip Number 4
Research GlobalLogic's current projects and clients to understand their needs and challenges. Tailoring your conversation around how you can contribute to their goals will set you apart from other candidates.
We think you need these skills to ace Machine Learning Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Architect position. Tailor your application to highlight relevant experience in data and AI, particularly in consulting or high-growth tech environments.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 5+ years of experience in data and AI. Provide specific examples of successful projects or deals you've closed, especially those involving £M+ data and AI initiatives.
Showcase Technical Expertise: Detail your technical skills related to AI and Machine Learning. Mention any specific tools, technologies, or methodologies you are proficient in, and how they relate to the role at GlobalLogic.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your passion for data-driven transformation. Discuss how your commercial instincts can contribute to GlobalLogic's growth in the Intelligent Enterprise practice.
How to prepare for a job interview at GlobalLogic
✨Showcase Your Technical Expertise
As a Machine Learning Architect, it's crucial to demonstrate your deep understanding of AI and machine learning concepts. Be prepared to discuss specific projects you've worked on, the technologies you used, and the impact your work had on the business.
✨Highlight Your Commercial Acumen
Since this role involves driving growth and closing significant deals, make sure to share examples of how you've successfully navigated business discussions. Talk about your experience in developing proposals and engaging with stakeholders to secure funding for data and AI initiatives.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills and ability to innovate. Think about challenges you've encountered in previous roles and how you approached them, particularly in the context of data platforms and product engineering.
✨Emphasise Your Collaborative Spirit
GlobalLogic values teamwork and collaboration. Be ready to discuss how you've worked with cross-functional teams in the past, especially in high-pressure environments. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.
