Working alongside clients, architects, engineers, data specialists and delivery teams, you’ll help define use cases, shape requirements, design AI-enabled experiences, improve output quality and support adoption into live enterprise environments.
This role is ideal for someone who is already hands-on with Generative AI and wants to grow into broader AI solution consulting; someone who enjoys experimenting with LLM-based solutions, can learn quickly from model behaviour, and wants to help clients turn emerging AI capability into meaningful business outcomes.
Key Responsibilities:
- Work with client stakeholders to understand business challenges, strategic objectives and opportunities for AI-enabled transformation.
- Analyse business processes and operating models to identify opportunities for automation, augmentation and productivity improvement through AI technologies.
- Experiment with prompting techniques, context design, grounding approaches and model configuration to adapt commercial Generative AI models for enterprise applications and improve the consistency, accuracy and usefulness of their outputs.
- Design AI-enabled solutions using modern approaches including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), workflow automation, knowledge retrieval and AI-assisted user experiences.
- Apply prompt-as-code, prompt testing and evaluation-led development practices to improve the accuracy, reliability, consistency and maintainability of Generative AI outputs.
- Collaborate with architects, engineers, data specialists and delivery teams to ensure solutions are robust, commercially viable and aligned to client objectives, putting forward your own ideas for creative solutions.
- Define and monitor success criteria, evaluation frameworks and performance metrics to ensure AI solutions deliver measurable outcomes and continuous improvement.
- Support clients in establishing appropriate governance, risk management and responsible AI controls, ensuring solutions are secure, compliant and trustworthy.
- Build trusted relationships with client stakeholders across business and technology functions through delivering high quality outcomes.
- Share lessons learned, reusable patterns, evaluation approaches and practical delivery insights with colleagues to help improve Valcon’s AI delivery capability.