AI Solutions Engineer

VanRath; Belfast City District; Hybrid; GBP 60,000 - 100,000; Full time

Benefits offered by this job

Hybrid work

Professional development

Exposure to modern AI tech

Job summary

VanRath is seeking an AI Solutions Engineer to deliver production-grade AI/ML solutions, working across AWS and Azure. You will design APIs, data pipelines, and knowledge-based applications while translating business challenges into practical AI opportunities.

You will collaborate with cross-functional teams, implement secure AI practices, and contribute to building reusable engineering patterns in a hybrid, flexible environment in Belfast.

Qualifications

• Production-grade AI/ML delivery experience required.
• Strong software engineering and architectural capability.
• Experience with cloud platforms (AWS/Azure).
• Ability to build APIs, services and production pipelines.
• Solid understanding of LLMs, AI agents and knowledge-based apps.
• Familiarity with security, privacy and responsible AI practices.

Responsibilities

• Design and deliver production-grade AI agents and knowledge assistants.
• Build AI solutions across AWS and Microsoft Azure.
• Develop reliable APIs, services and data/AI pipelines.
• Translate business challenges into practical AI opportunities.
• Collaborate with stakeholders to define requirements and measurable outcomes.
• Implement monitoring, evaluation and optimisation of AI/ML solutions.
• Embed security, privacy and governance practices.
• Establish CI/CD pipelines and infrastructure-as-code practices.
• Mentor engineers through code reviews and coaching.
• Develop reusable engineering patterns and contribute to wider AI capability.

Skills

AI/ML solutions

Software architecture

Cloud platforms

APIs & data pipelines

LLMs & AI agents

CI/CD

Security & privacy

Stakeholder communication

Mentoring engineers

Tools

AWS

Azure

CI/CD tools

Job description

AI Solutions Engineer

A leading organisation with a strong focus on digital transformation and emerging technology is seeking an experienced AI Solutions Engineer to join its growing AI function. This is an exciting opportunity to work on production-grade AI solutions, including knowledge assistants, agentic workflows and customer- and colleague-facing applications, while helping shape the organisation's wider AI strategy and adoption.

Salary/Benefits

• Competitive salary and benefits package
• Hybrid/flexible working environment
• Opportunity to work with modern AI and cloud technologies
• Strong focus on professional development and technical learning
• Opportunity to work on high-impact, enterprise-scale AI projects

About your next employer

Your next employer is a large, established organisation undergoing significant digital transformation, with AI playing an increasingly important role in its technology strategy.
The AI Centre of Excellence is responsible for identifying and delivering high-value AI opportunities, developing production-grade AI and ML solutions, and supporting the wider organisation in adopting new AI technologies and engineering practices.
This is an opportunity to join a technically ambitious team working across AI, cloud, engineering and data, with exposure to complex enterprise environments.

About you

• Strong experience delivering production-grade AI/ML solutions
• Strong software engineering and architectural capability
• Experience working with cloud platforms, particularly AWS and/or Azure
• Comfortable building APIs, services and production pipelines
• Strong understanding of LLMs, AI agents and knowledge-based applications
• Experience with CI/CD, infrastructure and production operations
• Strong understanding of security, privacy and responsible AI
• Able to communicate complex technical concepts to technical and non-technical stakeholders
• Comfortable working in a collaborative, cross-functional environment
• Passionate about mentoring and developing engineering capability

What you'll do

• Design and deliver production-grade AI agents and knowledge assistants
• Build AI solutions across AWS and Microsoft Azure
• Develop reliable APIs, services and data/AI pipelines
• Translate business challenges into practical AI opportunities
• Work with stakeholders to define technical requirements and measurable outcomes
• Implement monitoring, evaluation and optimisation of AI/ML solutions
• Embed security, privacy, governance and responsible AI practices
• Establish CI/CD pipelines and infrastructure-as-code practices
• Collaborate with engineering, data science, architecture and product teams
• Mentor engineers through code reviews, pair programming and technical coaching
• Develop reusable engineering patterns and contribute to wider AI capability