Senior AI Consultant

Snap Analytics; Bristol; On-site; GBP 70,000 - 90,000; Full time

Job summary

An innovative firm is seeking a Senior AI Consultant to join their dynamic team in Bristol. In this role, you'll design and deploy cutting-edge AI applications using AWS and serverless architecture, while integrating various APIs to enhance business solutions. You'll work collaboratively with data scientists and engineers to develop scalable, intelligent systems that address real-world challenges. This position offers the opportunity to shape the future of AI-powered tools, with a culture that fosters continuous learning and innovation. If you're passionate about AI and eager to make a significant impact, this role is perfect for you.

Benefits

Autonomy to experiment with new technologies

Exposure to advanced AWS tools

Mentorship from experienced professionals

Collaborative and inclusive environment

Culture of innovation and continuous learning

Qualifications

• Experience with cloud infrastructure, especially AWS services.
• Proficiency in API development and integration for LLMs.
• Strong understanding of retrieval-augmented generation frameworks.

Responsibilities

• Designing and deploying AI applications using AWS Bedrock.
• Integrating APIs from LLM providers for intelligent automation.
• Building Retrieval-Augmented Generation pipelines for knowledge retrieval.

Skills

AWS services

API development and integration

Python

retrieval-augmented generation (RAG)

problem-solving mindset

Tools

AWS Bedrock

Lambda

DynamoDB

Redshift

Claude

Anzo

Job description

Senior AI Consultant

Application Deadline: 13 June 2025

Department: Delivery

Employment Type: Full Time

Location: Bristol, UK

Reporting To: Calvin Fuss

Compensation: £70,000 - £90,000 / year

Description

We’re looking for a skilled and inquisitive AI Engineer to join our small but growing AI & Advanced Analytics team at Snap Analytics. In this role, you’ll be at the heart of building intelligent applications powered by cutting-edge AI models and cloud-native infrastructure. You’ll work on innovative projects that harness the power of LLMs, API integrations, and real-time data pipelines to solve real-world business problems for enterprise clients.

You’ll be part of a collaborative and forward-thinking team, with mentorship from experienced professionals while having the autonomy to drive technical design and experimentation. If you’re passionate about creating scalable, intelligent systems using the latest in AWS, vector databases, and AI orchestration, we’d love to hear from you.

What you'll be doing...

• Designing and deploying AI applications using AWS Bedrock and serverless architecture
  
  You’ll take ownership of designing scalable, secure, and cost-effective AI-driven applications that leverage tools like Lambda, DynamoDB, and Redshift.
  
  
• Integrating APIs from LLM providers and other external data services
  
  You'll connect a variety of APIs (including Claude, OpenAI and others) to enable dynamic conversational agents and intelligent automation.
  
  
• Building Retrieval-Augmented Generation pipelines
  
  You'll design smart knowledge retrieval systems using vector databases to enhance the relevance and accuracy of AI model outputs.
  
  
• Writing clean, production-ready Python code
  
  You’ll use Python to build and orchestrate AI workflows, integrate APIs, manage data pipelines, and support cloud-native deployments. Your code will be critical in ensuring reliability, scalability, and performance across all AI systems.
  
  
• Developing and maintaining vector-based data storage and indexing systems
  
  You’ll build robust pipelines to ensure fast and reliable access to large, unstructured datasets for use by AI applications.
  
  
• Diagnosing and mitigating hallucinations in language models
  
  By analysing model responses and post-conversation data, you’ll help ensure outputs are grounded, verifiable, and aligned with business expectations.
  
  
• Collaborating across teams
  
  You’ll work closely with data scientists, product managers, and engineers to ensure AI solutions are robust, explainable, and production ready.
  
  
• Applying MLOps and CI/CD best practices
  
  You’ll contribute to scalable ML workflows that ensure fast iteration, effective monitoring, and smooth deployment of AI features.
  
  
• Working with additional tools and platforms (bonus)
  
  Familiarity with Claude, Anzo or AWS Redshift is a plus - and you’ll have the opportunity to deepen your expertise on the job.

What you'll need to succeed...

• Experience working with cloud infrastructure, especially AWS services like Bedrock, Lambda, and serverless stacks.
  
  
• Proficiency in API development and integration, particularly in connecting LLM APIs to external systems.
  
  
• Strong understanding of retrieval-augmented generation (RAG) frameworks and vector databases.
  
  
• Proficiency in Python for developing scalable data and AI solutions, including experience with data processing libraries, API interaction, and structuring clean, maintainable code in a production environment.
  
  
• Familiarity with large language models, prompt engineering, and agent orchestration.
  
  
• The ability to analyse post-interaction data and optimise AI behaviour over time.
  
  
• A structured, problem-solving mindset with a focus on scalability and performance.
  
  
• A desire to collaborate in a cross-functional environment, sharing ideas and learning as part of a team.
  
  
• Bonus points for experience with Claude, AWS Redshift, or graph-based systems like Anzo.

So, what's in it for you?

• The chance to shape the next generation of AI-powered enterprise tools with real business impact.
  
  
• Autonomy to experiment with new technologies and deploy scalable applications in production.
  
  
• Exposure to advanced AWS tools and mentorship from experienced AI and cloud professionals.
  
  
• A culture of innovation and continuous learning, where your growth is supported.
  
  
• A collaborative, inclusive, and impact-driven environment where your ideas are valued.