At a Glance
- Tasks: Design and build scalable AI platforms for enterprise applications.
- Company: Join TCS, a purpose-led transformation company making a real impact.
- Benefits: Competitive salary, health care, training resources, and wellness initiatives.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Work on innovative AI projects that transform major organisations.
- Qualifications: Strong Python skills and experience in Generative AI development.
The predicted salary is between 60000 - 80000 £ per year.
Ready to apply your data engineering expertise to build reliable and scalable pipelines for enterprise platforms? We have an exciting opportunity for you — GenAI Adoption – Platform Engineer!
TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.
Gain access to continuous learning opportunities in emerging AI technologies. Support major organisations as they transform their data and AI capabilities.
As a GenAI Adoption – Platform Engineer, you will be responsible for enabling enterprise adoption of Generative AI by designing and building scalable, cloud-native platforms for AI workloads. You will focus on reliability, automation, and multi-tenant architectures, while integrating advanced AI capabilities into enterprise systems.
- Design, build, and deploy AI-powered applications using large language models and generative AI technologies.
- Develop and integrate solutions such as chatbots, copilots, and content generation platforms.
- Integrate AI APIs into enterprise applications and workflows.
- Deploy and manage AI applications across cloud platforms such as AWS, Azure, or GCP.
- Ensure platform scalability, reliability, and performance across multiple environments.
- Collaborate with engineering and business teams to deliver AI-driven solutions aligned with organisational needs.
Strong programming skills in Python (Karat assessment clearance required). Experience in Generative AI application development using frameworks such as LangChain or LangGraph. Hands-on experience building and deploying RAG-based solutions. Experience working with cloud platforms such as AWS, Azure, or GCP. Broader exposure to multi-cloud environments across AWS, Azure, and GCP.
Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; Diversity, Inclusion and Wellbeing.
Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role.
Apply online now.
Gen AI - Platform Engineer in City of London employer: Tata Consultancy Services
Tata Consultancy Services (TCS) is an exceptional employer that prioritises purpose-led transformation and innovation, making a meaningful impact on communities and businesses alike. With a strong focus on employee growth, TCS offers continuous learning opportunities in cutting-edge AI technologies, alongside competitive benefits such as health care, pension plans, and wellness initiatives. The inclusive work culture fosters diversity and supports individuals from all backgrounds, ensuring that every employee can thrive in their career while contributing to transformative projects.
StudySmarter Expert Advice🤫
We think this is how you could land Gen AI - Platform Engineer in City of London
✨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 Tata Consultancy Services!
✨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 Gen AI - Platform Engineer at Tata Consultancy Services.
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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 Tata Consultancy Services.
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We think you need these skills to ace Gen AI - Platform Engineer in City of London
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 Tata Consultancy Services, 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 Tata Consultancy Services. 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 Tata Consultancy Services
✨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 Tata Consultancy Services!
✨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.
