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- Tasks: Design and build an AI Development Platform to integrate Generative AI across the organization.
- Company: Join a forward-thinking team at the forefront of AI technology innovation.
- Benefits: Collaborate with experts, tackle complex challenges, and drive impactful AI solutions.
- Why this job: Be part of a dynamic team shaping the future of AI in a rapidly evolving industry.
- Qualifications: 8-12 years in software engineering, strong API development, and hands-on Generative AI experience required.
- Other info: Opportunity to influence development teams and accelerate AI adoption.
The predicted salary is between 48000 - 84000 £ per year.
Gen AI Solution Engineer (14893) London, England
We are seeking an experienced Gen AI Senior Engineer to join a forward-thinking team focused on building cutting-edge Generative AI capabilities. In this role, you will help develop a firmwide AI Development Platform that will enable the adoption of AI solutions across the enterprise. You will work closely with internal teams, enhance developer experiences, and drive innovation in the use of AI for personalized, scalable, and impactful applications.
What You’ll Be Doing:
- Design and build a firmwide AI Development Platform to support the integration of Generative AI capabilities throughout the organization.
- Create proof-of-concept applications, examples, and tools to provide developers with access to Gen AI models via standardized APIs.
- Develop self-service tooling that streamlines the deployment and management of AI solutions.
- Collaborate with developers to optimize the process of building and deploying AI applications.
- Guide internal teams on best practices within the Generative AI ecosystem, including models (e.g., GPT, Llama, Hugging Face) and libraries (e.g., Langchain, Sematic Kernel).
- Contribute to technical leadership, driving key design decisions and product selections for Generative AI solutions.
- Engage in customer-facing interactions, providing expertise in AI capabilities and implementations.
- Develop integrations with large-scale vector stores for embedding management and enhance platform scalability.
Skills and Experience You Will Need:
- 8–12 years of experience in software engineering, design, and development.
- Strong hands-on experience in building software platforms, API development, and working with REST frameworks.
- In-depth knowledge of AIML technologies and hands-on experience implementing Generative AI solutions.
- A developer mindset, with the ability to build common, reusable solutions for scaling AI use cases, utilizing pre-trained and fine-tuned models.
- Proven leadership in driving innovative AI solutions in a large-scale enterprise setting.
- Proficiency in at least one prominent programming language (Python is preferred).
- Strong understanding of data engineering, including SQL, NoSQL, Big Data, and data governance.
- Hands-on experience with DevOps principles and CI/CD pipelines.
- Familiarity with code repositories such as GitHub and BitBucket.
- Experience deploying applications to cloud platforms (Azure, AWS, GCP), and using tools like Terraform.
- Ability to effectively communicate technical concepts to a wide range of stakeholders.
- Passion for increasing productivity through AI and fostering the adoption of AI solutions.
- Strong desire and ability to influence development teams and accelerate their adoption of AI technologies.
Desired Skills:
- Experience with AI-based application development, particularly Generative AI and LLM applications.
- Practical experience working with AI development services on cloud platforms like Azure Cognitive Services, AWS SageMaker, or Google Vertex AI.
- Exposure to working in regulated industries such as financial services or insurance.
- Expertise in Model Ops, ML Ops, or LLM Ops.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
Why Join Us?
This is an exciting opportunity to be part of a dynamic and growing team, contributing to the future of AI technology. You’ll collaborate with experts in the field, build impactful solutions, and drive AI innovation in a rapidly evolving industry. If you’re passionate about shaping the future of AI and enjoy tackling complex challenges, we’d love to hear from you.
Apply today and be part of an organization leading the way in AI-driven innovation!
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Gen AI Solution Engineer employer: Robert Walters
Contact Detail:
Robert Walters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Solution Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with Generative AI technologies during the interview. Be prepared to discuss specific projects where you've implemented AI solutions, as this will demonstrate your expertise and fit for the role.
✨Tip Number 2
Familiarize yourself with the latest trends in AI development platforms and tools. Being able to discuss current technologies like GPT, Llama, and libraries such as Langchain will show that you're up-to-date and ready to contribute from day one.
✨Tip Number 3
Highlight your leadership experience in driving innovative AI solutions. Prepare examples of how you've influenced teams or projects in the past, as this aligns well with the collaborative nature of the position.
✨Tip Number 4
Since the role involves customer-facing interactions, practice explaining complex technical concepts in simple terms. This skill is crucial for effectively communicating with stakeholders who may not have a technical background.
We think you need these skills to ace Gen AI Solution Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Gen AI Solution Engineer position. Understand the key responsibilities and required skills, as this will help you tailor your application to highlight relevant experiences.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 8-12 years of experience in software engineering and any specific projects related to Generative AI. Mention your hands-on experience with API development, cloud platforms, and any leadership roles you've held.
Showcase Technical Skills: Clearly outline your proficiency in programming languages, especially Python, and your familiarity with AIML technologies. Include any experience with tools like Terraform, CI/CD pipelines, and code repositories such as GitHub or BitBucket.
Communicate Your Passion: Express your enthusiasm for AI and how you can contribute to the company's goals. Share examples of how you've driven innovation in previous roles and your desire to influence development teams in adopting AI technologies.
How to prepare for a job interview at Robert Walters
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Generative AI technologies and software engineering. Highlight specific projects where you've built platforms or developed APIs, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Your Leadership Skills
Since this role involves guiding internal teams and driving innovation, share examples of how you've led projects or initiatives in the past. Discuss your approach to influencing development teams and fostering collaboration around AI solutions.
✨Prepare for Customer-Facing Scenarios
As the role includes engaging with customers, practice articulating complex AI concepts in a way that is accessible to non-technical stakeholders. Think of examples where you've successfully communicated technical information to diverse audiences.
✨Familiarize Yourself with Relevant Tools and Platforms
Make sure you are well-versed in the tools and platforms mentioned in the job description, such as Azure, AWS, and Terraform. Be ready to discuss your experience with these technologies and how they can be leveraged to enhance AI capabilities.
