Technical Lead – AI

Overview

As an AI Technical Lead / Architect focused on Generative and Agentic AI you will architect design and lead the delivery of production-ready enterprise-grade AI systems. You will take ideas from early experimentation and prototypes through scalable secure and reliable AI solutions used by real customers and internal users.

The role focuses on building intelligent agent-based systems that can reason plan integrate with tools and make autonomous decisions at enterprise scale.

Strong engineering mindset with end-to-end ownership experience delivering real-world AI solutions at enterprise scale and ability to mentor and influence across teams.

Key Responsibilities

Technical Leadership & Architecture

• Provide technical leadership and architecture for Generative and Agentic AI initiatives
•  Design end-to-end AI system architectures covering orchestration data APIs security and deployment
• Build LLM-based solutions using RAG embeddings prompt engineering function calling and agentic workflows
• Ensure production readiness including CI/CD testing observability scalability security and cost optimization
• Mentor AI engineers and collaborate with business and technology stakeholders

Generative & Agentic AI Engineering

• Design and build LLM-based systems using techniques such as:
•  Retrieval Augmented Generation (RAG)
•  Embeddings and vector search
• Prompt engineering and prompt optimization
• Function calling and tool usage
• Agentic and multi-agent workflows
• Build AI systems that integrate LLMs with APIs data platforms enterprise applications and workflow engines
• Apply modern AI evaluation approaches including automated testing benchmarking and qualitative quantitative LLM evaluation

Engineering Exc ellence & Operations

• Apply strong software engineering and distributed systems principles to AI development
• Design for observability including logging metrics tracing alerts and model performance monitoring
• Diagnose and resolve production issues related to latency reliability data quality and model behavior
• Balance innovation speed with operational excellence and long-term maintainability

Collaboration Enablement & Mentorship

• Work closely with business stakeholders to translate real-world problems into AI-driven solutions
• Partner with AI engineers data scientists and platform teams to scale delivery
• Mentor and coach engineers on Generative AI Agentic AI and cloud-native best practices
• Support low-code and Copilot/Flow-style solutions where appropriate while ensuring architectural integrity

Qualifications :

• Bachelors or masters degree in computer science Engineering or a related field.
   
• 10 years of experience in software engineering

Programming & Engineering

•  Python
•  REST APIs
•  CI/CD pipelines
•  Automated testing
•  Distributed systems design
• Generative & Agentic AI
•  Generative AI and LLM-based systems
• Agentic and multi-agent workflows
• Retrieval Augmented Generation (RAG)
• Embeddings and vector databases
• Prompt engineering and prompt optimization
•  LLM evaluation and testing strategies

Cloud & AI Platforms

• Azure OpenAI
• Azure AI Services
•  AWS Bedrock
• Amazon SageMaker

Production & Operations

• Observability (logs metrics tracing alerts)
• Monitoring and reliability engineering
• Performance tuning and cost optimization

Additional Information :

 Why Version 1

 At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing professional growth and financial stability.

• Share in our success with our Quarterly Performance-Related Profit Share Scheme where employees collectively benefit from a share of our companys profits
• Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
• Flexible/remote working Version 1 is tremendously understanding of life events and peoples individual circumstances and offer flexibility to help achieve a healthy work life balance
• Financial Wellbeing initiatives including; Pension Private Healthcare Cover Life Assurance Financial advice and an Employee Discount scheme
• Employee Wellbeing schemes including Gym Discounts Bike to Work Fitness classes Mindfulness Workshops Employee Assistance Programme and much more. Generous holiday allowance enhanced maternity/paternity leave marriage/civil partnership leave and special leave policies
• Educational assistance incentivised certifications and accreditations including AWS Microsoft Oracle and Red Hat
• Reward schemes including Version 1s Annual Excellence Awards & Call-Out platform.
• Environment Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity inclusion and belonging schemes.

And many more exciting benefits drop us a note to find out more. 

Version 1 is an equal opportunities employer.
 
We are committed to building a diverse inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds identities and lived experiences and we value the different perspectives people bring.
 
We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process please contact recruiter email addressEM1  at Version 1. We will consider all requests carefully respectfully and links:

add the email address for the lead recruiter

Remote Work :

No

Employment Type :

Full-time