At a Glance
- Tasks: Lead AI product delivery and develop innovative AI applications.
- Company: Established professional services firm investing heavily in data and AI.
- Benefits: High ownership role, exposure to diverse AI initiatives, and strong leadership support.
- Other info: Collaborative environment with opportunities for significant career growth.
- Why this job: Shape the future of AI while working on impactful projects.
- Qualifications: Experience in building production AI applications and data engineering skills.
The predicted salary is between 80000 - 98000 £ per year.
The Company
They are a well established professional services firm with a large and diverse client base, backed by private equity and investing heavily in data and AI. The business is undergoing a significant transformation, with multiple AI initiatives already scoped and ready for delivery. Working alongside a small, high impact team, you will be closely connected to senior stakeholders and have real influence over technical direction. Their focus is on embedding AI across core business functions to drive efficiency and insight.
The Role
- You will take ownership of end to end AI product delivery, building production ready solutions that integrate with business systems and workflows.
- Design, build and deploy AI applications from concept through to production.
- Develop LLM powered tools and agentic workflows to automate internal processes.
- Deliver use cases such as AI generated reporting, commercial intelligence, and internal knowledge agents.
- Integrate AI solutions into existing platforms and systems.
- Contribute to Azure based data engineering, including pipelines and data modelling.
- Work across multiple projects, shaping delivery and prioritising impact.
- Collaborate closely with business stakeholders to scope and deliver solutions.
Your Skills and Experience
- Strong commercial experience building production AI applications in a cloud environment.
- Hands on expertise with LLMs, prompt engineering, and agent based workflows.
- Data engineering capability, including ETL processes, orchestration, and working with large datasets.
- Ability to design and deploy scalable, reliable systems.
- Experience working with modern AI tooling and development workflows.
- Strong communication skills with the ability to work directly with non technical stakeholders.
- A proactive, hands on mindset with a focus on delivering outcomes.
What They Offer
- High ownership role within a small, growing AI team.
- Exposure to a wide range of AI initiatives with strong leadership backing.
- Clear opportunity to shape the future direction of AI within the business.
We think you need these skills to ace Senior AI and Data Engineer 199436
AI Product Delivery
LLM Expertise
Prompt Engineering
Agent Based Workflows
Data Engineering
ETL Processes
Orchestration
