AI Analyst - Intelligent Automation Engineer - Business Analyst - Project Manager - RPA Technologies
We have a vacancy for a full-time, hybrid, Intelligent Automation Engineer, based in Norwich. This would be the perfect role for someone with experience of business/data process platforms and business analysis, who is interested and keen to work for a company focused around Artifical Intelligence.
Your focus will be working with clients,partners and business analysts to transform domain expertise into our client's powerful models that deliver efficiency, improve customer outcomes and drive new AI powered products and services.
Key to this role is the ability to capture and interpret business logic that the clients are seeking to incorporate into automation solutions. This is a client facing role, working on multiple live projects, communicating with stakeholders face-to-face and virtually.
Prior experience in AI is not necessary but experience with business analysis related to commercial operations or other business process platforms is a clear advantage.
About the client
Our client is an automated decision-making platform that allows businesses to replicate and scale the knowledge of their best workers internally across their business and to their customers. Differentiated from Machine Learning, our client replicates human decisions rather than seeking patterns in data, making it easier to bring new people in and get them productive quickly.
Key Responsibilities:
- Becoming an expert in the clients platform and maintaining this skill through keeping abreast of new features and the product roadmap.
- Engaging and building relationships with clients and proactively working to find new opportunities.
- Working with the training lead to identity and deliver coaching to clients and partners to up-skill them in using the platform.
- Providing end user support
We are looking for:
- Stakeholder management skills. You will be comfortable in developing and maintaining relationships and communicating effectively with a wide range of audiences.
- The ability to represent our technology in the context of other technologies and client systems.
- Experience in identifying project challenges and escalating them appropriately.
Skills:
- Familiarity with large language models (LLMs) and natural language processing (NLP) principles.
- Expertise in business analysis related to commercial operations.
- A good understanding of knowledge graphs, ontologies, and semantic technologies.
- Experience in process modelling, business process management (BPM), digital process management (DPM) and/or process automation.
- Experience of working with multiple stakeholders on a project
- Experience working directly with clients both in a face to face and a virtual environment.