Pre-Sales AI Architect for GenAI Solutions

Stanton House

United Kingdom

Remote

GBP 90,000 - 130,000

Full time

14 days+
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Job summary

A technology services provider in the UK is seeking a Pre-Sales AI Architect to identify and shape AI opportunities. This role involves designing AI-powered solutions, leading client discovery sessions, and collaborating with various teams to ensure the successful delivery of scalable architectures. Candidates should have extensive experience in AI/ML solution design and strong cloud experience, notably with AWS and Azure. This challenging position offers a full-time employment opportunity within a dynamic environment.

Qualifications

  • Extensive experience in AI/ML solution design within pre-sales or consulting.
  • Proven ability to align AI solutions with business challenges in cloud environments.
  • Strong knowledge of AI/ML techniques including GenAI and MLOps.
  • Skilled in creating high-level designs and estimating project efforts.
  • Excellent presentation skills to engage both technical and non-technical audiences.

Responsibilities

  • Lead discovery sessions to identify business challenges and AI opportunities.
  • Develop scalable AI/ML solutions including data pipelines and model design.
  • Present complex technical concepts to business audiences.
  • Monitor AI trends and apply emerging technologies to proposals.

Skills

AI/ML solution design
Cloud environments (AWS, Azure)
Presentation and communication skills
Hands-on experience with Databricks
Technical artefact creation

Tools

Azure ML
AWS SageMaker
Google Vertex AI
Hugging Face
LangChain

Job description

A technology services provider in the UK is seeking a Pre-Sales AI Architect to identify and shape AI opportunities. This role involves designing AI-powered solutions, leading client discovery sessions, and collaborating with various teams to ensure the successful delivery of scalable architectures. Candidates should have extensive experience in AI/ML solution design and strong cloud experience, notably with AWS and Azure. This challenging position offers a full-time employment opportunity within a dynamic environment.
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