AWS AI Consultant

Lambert Labs is looking for an AWS AI Consultant to join its team. We are an AWS Advanced Tier Services partner that helps customers across a wide range of industries build, deploy, and scale AI on AWS, modernize their AWS infrastructure, and innovate on AWS (with data and AI). Our services are in demand – we have worked with 100+ AWS customers and work very closely with the AWS team locally and globally.

The role involves working on a variety of projects, including:

• Building generative AI applications using AWS' suite of AI services, primarily Amazon Bedrock.
• Designing and implementing Retrieval-Augmented Generation (RAG) systems.
• Conducting AI assessments of customer businesses, identifying and prioritizing AI use cases based on generation of business value.
• Using multimodal LLMs to build applications that supercharge existing businesses with AI.
• Building agentic AI workflows that orchestrate tools, data sources and multiple model calls to automate complex tasks.
• Customizing and fine-tuning foundation models, and applying prompt engineering and evaluation techniques to improve accuracy, safety and cost.
• Implementing responsible AI practices, including guardrails, evaluation pipelines, monitoring and human-in-the-loop review.
• Developing and deploying machine learning models with Amazon SageMaker, and building the MLOps pipelines to support them.
• Writing Terraform or CloudFormation to template the AWS infrastructure that AI applications run on.
• Conducting AWS Well-Architected Reviews of customers' AI/ML workloads, writing feedback reports and remediating High-Risk Issues.

Customer engagements are typically less than 4 weeks in duration, but we do have customers who we complete longer engagements with and for some customers we complete multiple engagements each year. Typically, engagements include one or two consultants from the Lambert Labs side working with the customer.

Because we are so deeply immersed in the AWS Partner Program, there are also a number of tasks focused on this area, including:

• Training for AWS certifications from the AWS Certification pathway.
• Writing funding applications for AWS Proof of Concepts, the AWS Well-Architected Partner Program, the AWS Migration Acceleration Program or other AWS funding programs.
• Applying for AWS Competencies and AWS Service Delivery validations on behalf of Lambert Labs.
• Engaging with AWS Solutions Architects and AWS Account Managers aligned with our customer accounts.
• Attending events and speaking at industry events.
• Writing customer case studies or technical articles for our website or other platforms.

While technical skills are important, we are hiring for aptitude and attitude above all else. We are looking for a natural communicator and a rapid learner who wants to grow a small business with huge potential. What we are most interested in is your ability to learn quickly - which matters more than ever in a field moving as fast as AI.

What matters most:

• Exceptional communication: you can explain complex concepts with clarity, both orally and in writing.
• Knack for learning fast: you are driven to understand how things work and are not intimidated by new technologies.
• A problem-solving mindset: you are resourceful, logical, and enjoy breaking down a complex challenge into manageable steps to find a solution.
• Motivation and drive: you have a proactive, can-do attitude and are passionate about delivering high-quality work and making a real impact.

Your background should include:

• A 2:1 or higher in a technical degree.
• Hands-on experience with cloud computing concepts, preferably on AWS.
• Experience with three or more of the following:
• Building applications or workloads with foundation models such as OpenAI's GPT or Anthropic Claude, preferably via Amazon Bedrock.
• Retrieval-Augmented Generation (RAG), embeddings and vector databases.
• Prompt engineering, model evaluation, and techniques for improving the accuracy, safety and cost of LLM applications.
• Building agentic workflows or tool-using AI systems.
• Machine learning and model deployment with Amazon SageMaker, including MLOps practices.
• Data engineering and visualisation using Amazon Redshift and Amazon QuickSight.
• Infrastructure as code (IaC) with Terraform and/or CloudFormation.
• Containerization of applications using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk.
• You do not need to have AWS certifications when applying for this role, but you will be expected to study for and pass the AWS Certified Machine Learning – Associate and AWS Certified Solutions Architect – Associate certifications in your first year in this role.
• A strong software engineering background is highly valued; we write and maintain lots of Python applications.

Benefits include:

• A competitive salary and performance-based bonus scheme.
• Excellent work-life balance.
• 25 days holiday per year, plus bank holidays.
• A flexible, hybrid working model combining remote work with our London office.
• A generous annual budget for professional development, training, and AWS certifications.
• The opportunity to work with a talented, supportive team on challenging and impactful projects.
• Quarterly company socials.
• Cycle to work scheme.

Lambert Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.