Generative AI Engineer

Job description

Generative AI Engineer - KPMG Curve x5

Base Location: Leeds based (Hybrid – 2 days per week in office) Experienced professional (kpmgcareers.co.uk)

As a result of the work that we do, we require applicants to hold or be capable of obtaining UK National Security Vetting, the requirements for which could include but not be limited to having resided in the UK for at least the past 5 years and being a UK national or dual UK national.  Please note your application will not be taken forward if you cannot fulfil these requirements. 

This is KPMG Curve, our newest tech venture. And we're doing things a little differently and we want You to come join us.

Here to solve big challenges and uncover even bigger opportunities, KPMG Curve is all about staying at the cutting edge of technology and swerving the mundane.

As a fast-growing digital delivery capability within KPMG, we always stay ahead of the curve by keeping up with ever-evolving tech practices. Whether that's unlocking the power of AI, coding for the future of the planet or everything in-between.

In a world where tech is always changing, so are we.

What’s in it for you?

Progression at pace. Innovation, led by constant learning. Work that excites you with every twist and turn. It all starts at KPMG Curve. Here, you’ll progress your career as part of a connected team, while being encouraged to be your true, authentic self.

At KPMG Curve, we offer career paths that can accelerate top performers, without having to go into management. You can stay technically focused and carry on improving in your favourite tech field. You won’t be responsible for any sales work, either.

Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life balance seriously and will make sure you get time back if you’ve been working on anything heavy. At the end of the day, your well-being is what matters most.

What will you be doing?

AI Solution Development:

• Assist in the design and development of generative AI models and solutions for clients across various industries.

 Work with senior engineers to implement AI models into business processes, ensuring the solutions align with client needs and objectives.

• Participate in the creation of Proof of Concepts (PoCs) and Minimal Viable Products (MVPs) to demonstrate AI capabilities.

Client Project Delivery:

• Support the delivery of AI solutions for client projects, ensuring timely execution and high-quality outcomes.
• Collaborate with cross-functional teams to understand client requirements, translate them into technical specifications, and help drive the successful implementation of AI models.
• Contribute to client presentations and demos, showcasing AI capabilities and how they address specific business challenges.

 Coding & Implementation:

• Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments.
• Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions.
• Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes.

 Data Management & Integration:

• Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development.
• Help integrate AI models with existing data pipelines and systems, ensuring data is processed and utilized effectively for AI model training and deployment.
• Ensure data quality and adhere to best practices for data governance and privacy when handling sensitive information.

Practise Building

• Work closely with business teams and clients to demonstrate the potential of AI and assess its feasibility for solving business challenges.
• Lead feasibility studies, develop data strategies, support RFP responses, and demo to prospective clients.

 Data Governance & Security

• Ensure compliance with KPMG’s data governance policies and industry regulations regarding AI models and data processing.
• Implement best practices in data privacy, security, and ethical AI, particularly when handling sensitive data.

 What will you need to do it?

• BSc in Computer Science, Engineering, Statistics, or a related field with a passion for all things AI.
• Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. This could have been obtained at university or within a role.

·       Familiarity with AI/ML algorithms and model deployment in cloud environments.

• A passion for all things AI, whether that’s attending events, hackathons, reading or in practical ap[plications.

Skills we’d love to see/Amazing Extras:

• Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs.
• Familiarity with AI/ML algorithms and model deployment in cloud environments. Experience with version control tools (e.g., Git), and knowledge of Docker and containerization.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG.

Our Locations:

This position will be based from our Leeds offices, with 2 days per week in the office

We can potentially facilitate flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team.

 Find out more:

Within Tech and Engineering we have a range of divisions and specialisms.  Click the links to find out more below:

• Technology and Engineering at KPMG: www.kpmgcareers.co.uk/experienced-professional/technology-engineering/
• ITs Her Future Women in Tech programme: www.kpmgcareers.co.uk/people-culture/it-s-her-future/
• KPMG Workability and Disability confidence: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/need-support-let-us-know/

For any additional support in applying, please click the links to find out more:

• Applying to KPMG: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/
• Tips for interview: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/application-advice/
• KPMG values: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/our-values/
• KPMG Competencies: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/kpmg-competencies/
• KPMG Locations and FAQ: www.kpmgcareers.co.uk/faq/?category=Experienced+professionals

Create next level tech. Impress us and surprise yourself. Do work that really makes a difference.

Swerve the mundane. Join KPMG Curve.