Job Description

We are looking for a Lead Gen AI Engineer to play a key hands-on technical role in designing, building and scaling production-grade Generative AI solutions across the business.

This role sits within MLOps function and focuses on hands-on technical execution and architecture, working closely with platform, security and business teams to bring GenAI use cases from concept into reliable, secure, and production-ready systems.

What you will Deliver

• Design, architect and deliver production-grade GenAI solutions using LLMs, RAG, vector search, and prompt engineering, ensuring scalability, security, reliability and maintainability.
• Drive GenAI projects end-to-end, evolving solutions from proof-of-concept to production with strong technical quality, operational readiness, and robust monitoring/observability.
• Provide hands-on technical leadership, mentoring engineers, defining engineering standards, leading design reviews, and guiding key architectural and build-vs-buy decisions.
• Collaborate across the organisation, integrating GenAI services with enterprise systems, cloud platforms, and working closely with business, platform and infrastructure teams.
• Lead technical execution of real-world GenAI applications (e.g., support assistants, case handling automation, fraud investigation, decision support) while identifying risks, dependencies and trade-offs.

Skills & Experience

• Proven experience leading the development and deployment of GenAI systems in enterprise environments.
• Deep hands-on expertise with LLMs, RAG architectures, vector databases, and orchestration frameworks.
• Strong understanding of prompt design, context management, and GenAI-specific risks such as hallucination and data exposure.
• Experience integrating GenAI solutions with enterprise systems and cloud platforms (AWS, Azure)
• Proven ability to work independently and collaboratively across technical and business teams to deliver high-quality solutions with clear business value.
• Strong communication skills, able to explain technical decisions and trade-offs clearly in cross-functional environments.

Desirable

• Background in AI/ML engineering, AI solution architecture, or software engineering, with strong hands-on experience designing and building production-ready GenAI systems.
• Experience working within CI/CD and observability frameworks to deploy, monitor and iterate GenAI systems in production environments.
• Experience working in large-scale or regulated enterprise settings.
• Proven track record delivering GenAI solutions across areas such as knowledge assistants, customer support, commercial automation, and engineering tools.
• Understanding of practical evaluation approaches for GenAI in production, including user feedback mechanisms, performance considerations, and assessing response usefulness and relevance.
• Exposure to advanced GenAI orchestration patterns and frameworks such as tool use, memory management, or agentic workflows.

At NewDay, we value all types of diversity. We’re an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don’t discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process.

Tell us if you need accommodations: We’ll put reasonable adjustments in place to support you.

We work with Textio to make our job design and hiring inclusive.

Permanent