About the job
About Astound Digital
Astound Digital is a premier global digital commerce and experience agency, collaborating with top brands to create, enhance, and optimize transformative digital experiences. As we unveil our specialized Anthropic AI Practice, we are assembling a team of AI-driven consultants dedicated to empowering clients across various sectors to leverage the capabilities of Claude and the expansive Anthropic ecosystem for tangible business outcomes.
Role Overview
We are on the lookout for an inquisitive and technically adept AI Consultant to join our newly established Anthropic AI Practice. In this pivotal role, you will collaborate with senior consultants and client teams to design, develop, and implement AI-driven solutions utilizing Anthropic's Claude models and APIs. You will acquire extensive practical experience throughout the entire AI delivery lifecycle, from initial discovery and prototyping to production deployment and ongoing optimization.
This is a distinctive chance to be part of a burgeoning practice that sits at the crossroads of enterprise consulting and state-of-the-art AI engineering.
Key Responsibilities
Client Delivery
- Assist in the design and development of Claude-powered applications, agents, and workflows for enterprise clients.
- Translate client needs into technical specifications and AI solution architectures.
- Engage in client workshops, discovery sessions, and requirement-gathering activities.
- Support the creation of proof-of-concept prototypes, iterating based on stakeholder feedback.
AI Engineering
- Develop and integrate solutions using the Anthropic API, incorporating prompt engineering, tool utilization, and multi-turn conversation design.
- Implement retrieval-augmented generation (RAG) pipelines and integrate vector databases.
- Create and assess AI agents using frameworks such as LangChain, LlamaIndex, or tailor-made solutions.
- Write clear, well-structured Python or JavaScript/TypeScript code for AI application backends.
Quality & Best Practices
- Conduct prompt testing, output evaluation, and iterative refinement to ensure adherence to client quality standards.
- Support the implementation of responsible AI practices, including safety evaluations and bias assessments.
- Contribute to internal documentation, reusable templates, and practice accelerators.
