At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions across multiple domains.
- Company: Join a forward-thinking tech company focused on AI and data initiatives.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Shape the future of AI while making a significant impact in retail and digital ecosystems.
- Qualifications: Experience in Agentic AI architectures and strong knowledge of data platforms.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking a highly experienced AI Solution Architect to lead the design and delivery of complex, multi-domain AI and data initiatives. This role will drive enterprise-scale architecture, focusing on Agentic AI, GenAI, and modern data platforms, while ensuring governance, scalability, and business impact across retail and digital ecosystems.
Key Responsibilities
- Lead end-to-end architecture for large-scale AI, data, and analytics solutions across multiple teams.
- Design and implement agentic AI ecosystems including AI agents, copilots, and multi-agent workflows.
- Define architectures for RAG / GraphRAG, knowledge graphs, orchestration frameworks, and LLMOps.
- Establish Responsible AI controls, scalability, security, and compliance standards.
- Build metadata catalog and lineage discovery solutions using AI-powered approaches.
- Drive AI-led solutions in demand forecasting & pricing optimization, supply chain & inventory management, and retail operations & media analytics.
- Govern modern cloud data platforms (Lakehouse, Data Engineering, BI, Advanced Analytics).
- Act as design authority across architecture forums and resolve cross-platform trade-offs.
- Mentor architects and engineering teams; contribute to reusable blueprints and standards.
- Align solution strategies with hyperscalers, OEMs, and enterprise platforms.
Must Have Skills
- Strong experience in Agentic AI architectures.
- Expertise in LLMs, RAG/GraphRAG, AI agents, copilots, LLMOps.
- Deep understanding of data platforms (Azure / AWS / GCP), Lakehouse, and analytics ecosystems.
- Exposure to Responsible AI frameworks and compliance standards.
Good to Have Skills
- Advanced Analytics & Retail Analytics domain experience.
AI Solution Architect employer: HCLTech
As an AI Solution Architect at our company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and creativity. We offer exceptional employee growth opportunities through mentorship and access to cutting-edge technologies, all while being part of a forward-thinking team dedicated to driving impactful AI solutions in the retail sector. Located in a vibrant tech hub, our workplace fosters a supportive environment where your contributions will directly influence the future of AI and data initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like HCLTech!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Solution Architect at HCLTech.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like HCLTech.
✨Apply Directly through Our Website
When you find a suitable opening like AI Solution Architect at HCLTech, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Solution Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at HCLTech, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at HCLTech. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at HCLTech
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at HCLTech!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
