Embark on a pivotal role as a Lead Engineer, at the forefront of shaping and deploying cutting-edge Generative AI (GenAI) applications. This is a unique opportunity to make a significant impact within a leading financial institution, developing tools that will be utilized daily by thousands of colleagues and driving efficiency across the organization.
As a Subject Matter Expert (SME) in Generative AI, you will not only be a hands-on developer but also a key influencer in guiding the company's strategic direction in this transformative technology. This role offers a compelling blend of technical leadership, strategic input, and the chance to mentor and develop a talented team.
Key Advantages for Candidates:
- Strategic Impact: Play a crucial role in defining and executing the Generative AI strategy for a major global organization.
- Hands-on Development: Directly contribute to the design, development, and deployment of high-impact applications used by a large user base.
- Technical Leadership & Mentorship: Lead a team, foster technical excellence, and guide the growth of junior engineers.
- Cutting-Edge Technology: Work with advanced GenAI models and cloud services like AWS Bedrock, Lambda, and S3.
- Career Growth: This role provides a platform for deep expertise in AI and cloud technologies, alongside leadership development.
- Innovation in a Regulated Environment: Gain valuable experience developing AI solutions within the complexities and opportunities of a regulated industry.
Key Considerations for Aspiring Candidates:
To thrive in this position, candidates should possess a strong foundation in the following areas:
- Core Technical Skills: Proficiency in Python is essential, alongside demonstrable experience working with Large Language Models (LLMs). A solid understanding of AWS services such as Bedrock, Lambda, S3, Lex, and CloudWatch is critical.
- AI Expertise: Proven ability in evaluating LLMs and optimizing prompts for enhanced performance.
- Collaboration & Communication: Excellent communication and collaboration skills are paramount for effective work within cross-functional teams.
- Leadership Potential: Experience in mentoring and developing team members, identifying talent gaps, and cultivating a culture of technical excellence.
While the core requirements are key, candidates who also bring experience in the following will be highly valued:
- Developing AI applications within regulated organizations.
- Data Engineering concepts and practices.
- DevOps principles, including CI/CD pipelines (e.g., Gitlab Runners, Jenkins) and Infrastructure as Code (e.g., Terraform, CloudFormation).
- Experience with Docker and container orchestration on platforms like ECS and EKS.
Beyond technical acumen, success in this role will also be assessed on critical skills such as risk management, change and transformation, business acumen, strategic thinking, and digital and technology leadership. Candidates are encouraged to showcase their understanding of these broader areas.
This exciting opportunity is available at our Radbroke or London campuses, offering flexibility in location for the right candidate.