Data & AI Architect
Posted 21 days ago
You'll complete your application on DysrupIT's career site.
About the Role
This senior-level Data & AI Architect position focuses on driving technical solutions during the pre-contract phase and managing their execution. You will bridge the gap between hands-on engineering and client interaction, conducting discovery workshops and formulating target-state architectures. Your responsibilities include developing reference architectures, guiding proofs of concept, and acting as a technical advisor to executive-level stakeholders like CIOs. You will also oversee the transition to production and provide mentorship to client engineering teams.
Requirements
- You should have roughly eight years of background in AI and data architecture and engineering, with a minimum of three years in a senior consulting capacity involving significant design responsibilities.
- You must be technically adept in Databricks, specifically regarding Unity Catalog, Delta Lake, PySpark, and lakehouse architectural patterns.
- Practical expertise with the Microsoft Azure environment, encompassing Azure OpenAI, Fabric, and Data Factory, is required.
- A comprehensive grasp of production-level generative AI—covering agents, RAG, prompt engineering, and guardrails—is mandatory, alongside advanced capabilities in SQL and Python.
- You need a solid understanding of MLOps and DevOps principles, such as infrastructure-as-code and continuous integration/continuous deployment.
- Strong verbal and written proficiency in English is vital for creating executive-level documentation and proposals.
- Credentials like Azure Solutions Architect Expert or Databricks Professional are preferred, as is prior experience at major systems integrators or consulting firms.
Responsibilities
- You will manage the full architectural lifecycle and project delivery, including defining project parameters, moderating stand-up meetings, and coordinating technical client interactions.
- Your tasks include creating four-to-six-week proofs of concept and drafting essential documentation, such as risk assessments, architecture diagrams, and proposal stipulations.
- You will deploy sophisticated reference solutions, execute Databricks lakehouses utilizing medallion architecture, and construct production-ready generative AI applications.
- You are tasked with setting high standards for testing, observability, infrastructure-as-code, and CI/CD pipelines.
- You will share your expertise to expand the internal knowledge repository, provide coaching to client staff, and eventually supervise a small delivery team, including taking part in hiring activities.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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