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- Tasks: Develop and implement AI solutions to transform regulatory compliance in banking.
- Company: Join TCS, a purpose-led tech company making a meaningful impact globally.
- Benefits: Competitive salary, health care, training resources, and wellness initiatives.
- Why this job: Be at the forefront of AI innovation and make a real difference in finance.
- Qualifications: Experience with AI/ML, LLMs, and Google Cloud; strong programming skills required.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Do you have the expertise in developing and implementing AI solutions? We have a great role for you as an AI 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.
As an AI Engineer, you will join our dynamic technology and compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective.
- Develop and implement AI solutions using LLMs to monitor, parse, and summarise regulatory policy changes from multiple jurisdictions and sources.
- Automate the detection of regulatory updates and map these changes to existing Bank controls, policies, and procedures.
- Collaborate with compliance, risk, and IT teams to ensure seamless integration of AI-driven controls with the Banks governance frameworks and operational processes.
- Design, build, and maintain scalable AI pipelines and applications on Google Cloud Platform (GCP), ensuring performance, security, and reliability.
- Create and maintain documentation for AI models, workflows, and automated controls, ensuring transparency and auditability.
- Continuously evaluate the effectiveness of automated controls and recommend enhancements based on new regulatory requirements or technological advancements.
- Conduct regular reviews and testing of AI models to ensure accuracy, fairness, and compliance with internal and external standards.
- Stay updated with the latest developments in AI, LLMs, and regulatory technology (RegTech), and proactively propose innovative solutions.
Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). Familiarity with regulatory environments in banking/finance and understanding of regulatory change management processes. Ability to translate regulatory requirements into technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field.
Experience in RegTech or working with compliance and audit teams in a banking or financial services context. Professional Data Engineer, Professional Machine Learning Engineer. Understanding of data privacy, security, and ethical considerations in AI applications.
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.
Remote engineer employer: Tata Consultancy Services
Contact Detail:
Tata Consultancy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those already working at TCS. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your AI knowledge and Google Cloud skills. Be ready to discuss how you've tackled similar challenges in the past—real examples go a long way!
✨Tip Number 3
Show your passion for AI and compliance during interviews. Talk about recent trends or innovations you've been following. It shows you're engaged and eager to contribute!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Remote engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with LLMs and Google Cloud, as well as any relevant projects that showcase your skills in developing AI solutions.
Showcase Your Skills: Don’t just list your qualifications; demonstrate how your programming skills in Python or Java have been applied in real-world scenarios. Use specific examples to illustrate your expertise in AI/ML solutions.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your experience and how it aligns with the job requirements. Avoid jargon unless it's relevant to the role.
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Tata Consultancy Services
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI solutions, especially Large Language Models like GPT and BERT. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your GCP Skills
Since the role involves working with Google Cloud Platform, be prepared to talk about your hands-on experience with services like Vertex AI and BigQuery. Have examples ready that demonstrate how you've built scalable AI applications or pipelines in the cloud.
✨Understand Regulatory Environments
Familiarise yourself with the regulatory landscape in banking and finance. Be ready to explain how you've translated regulatory requirements into technical specifications and automated controls in previous roles. This will show that you can bridge the gap between compliance and technology.
✨Be Agile and Collaborative
Highlight your experience working in Agile environments and collaborating with cross-functional teams. Share specific examples of how you've contributed to team projects, especially those involving compliance and risk management, to demonstrate your ability to work effectively in a dynamic setting.