Principal AI Solutions Architect

2 days ago

Manchester, United Kingdom IFS Full time
Job Description

We are seeking a seasoned AI Solutions Architect to spearhead our cutting-edge AI initiatives. This pivotal role demands a hands-on approach and the ability to drive innovation with autonomy and exceptional technical acumen.

Key Responsibilities
  • Thought Leadership in AI: Forecast technological evolutions and integrate them into our strategic vision.
  • AI Proof of Concept Development: Excel in the development of AI proofs of concept and minimum viable products, guiding them from inception to full-scale production.
  • High-Impact AI Applications: Identify and exploit high-impact AI applications within our offerings, crafting scalable technological frameworks.
  • Professional Growth and Development: Maintain an unwavering commitment to professional growth, mastering the latest in Generative AI, Natural Language Processing, and Deep Learning.
  • Mentorship and Coaching: Mentor and coach junior engineers to enhance their technical skills, fostering a culture of continuous learning and professional growth.
  • Cross-Functional Collaboration: Collaborate closely with cross-functional teams, including ML Engineers, Data Scientists, and Product Managers, to architect, refine, and deploy sophisticated AI solutions.
  • Innovation Ambassador: Act as an ambassador of innovation, delivering keynote speeches, hosting webinars, and authoring insightful publications that influence the industry and drive transformation.
Qualifications
  • Computer Science Foundation: A robust foundation in computer science, emphasizing AI and Data infrastructure design.
  • Technical Expertise: A minimum of 10 years' experience as an engineer, designing and executing large-scale solutions in cloud environments, ensuring seamless integration with legacy systems.
  • AI and ML Principles: Strong AI and ML principles, with a track record of model development, deployment, and mastery of MLOps practices.
  • Cloud-Native AI Solutions: Experienced in crafting enterprise-scale cloud-native AI/ML solutions.
  • Data Pipeline Orchestration: Proficiency in data pipeline orchestration across hybrid environments, leveraging the latest in Azure and allied technologies.
  • Data Processing: Expertise in data processing with tools like Spark or Dask, and fluency in Python, Scala, C#, or Java.
  • DevOps and CI/CD Automation: Expertise in utilizing DevOps and CI/CD automation, ensuring seamless deployment with tools like Azure DevOps and GitHub.
  • Advanced Content Analysis: Expertise in utilizing Azure AI Search or Elasticsearch for advanced content analysis and indexing & developing RAG services.
  • Data Workflows and Kubernetes Clusters: Experience in managing data workflows and Kubernetes clusters on AKS, utilizing tools such as Airflow, Kubeflow, Argo, and Dagster.
  • Scripting Languages and Tools: Familiarity using scripting languages and tools such as Bash, PowerShell, Azure CLI, Terraform, and Helm Charts.

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