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Azure AI Solutions Architect

Posted a month ago

  • London, Greater London
  • Any
  • External
  • Expired - 2 months ago
Azure AI Solutions ArchitectLevel: SeniorDepartment: AzureLocation:Virtual Office in UK (US Based with clients in UK) 100% REMOTEType: FTE or ContractPay Range:Based on experience levelGENERAL DESCRIPTION & RESPONSIBILITIESThe Azure AI Solution Architect will lead the creation of high-value data driven solutions leveraging Cyclotron’s proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading the project delivery team. You will have the opportunity to work with and learn the latest cloud solutions in an exciting work environment. This position will work collaboratively across all Cyclotron’s sales, service delivery and project management organizations in service to Cyclotron’s clients.The ideal candidate will have extensive Microsoft/Azure data services and Azure OpenAI technology experience. The role requires a combination of technical expertise, leadership skills and industry knowledge. Candidates will be expected to contribute to all stages of the data lifecycle.Technical Proficiency:Strong background in artificial intelligence, machine learning, and data science.Proficiency in Microsoft AI technologies, including Azure Machine Learning, Azure Cognitive Services, and related tools.Leadership Skills:Proven experience in leading and managing teams, especially in the AI consulting domain.Strategic thinking and the ability to align AI initiatives with overall business goals.Effective communication and collaboration skills to work with cross-functional teams and clients.Project Management:Experience in successfully managing AI projects from conception to delivery.Familiarity with project management methodologies, such as Agile or Scrum.Client Relationship Management:Ability to understand client needs and deliver AI solutions that meet their requirements.Strong interpersonal skills to build and maintain client relationships.Problem-Solving and Analytical Skills:Critical thinking and problem-solving skills to address complex AI challenges.Analytical mindset for data-driven decision-making.Innovation and Adaptability:A forward-thinking mindset with a focus on innovation in AI technologies.Ability to adapt to evolving industry trends and incorporate new technologies into consulting services.Educational Background:A relevant educational background, such as a degree in computer science, data science, or a related field.Certifications in Microsoft AI technologies can be advantageous.Team Collaboration:Ability to foster a collaborative and inclusive team culture.Experience in mentoring and developing team members.Ethical Considerations:Awareness of ethical considerations in AI and a commitment to responsible AI practices.Results-Oriented:A track record of delivering successful AI projects on time and within budget.Metrics-driven approach to measure the impact of AI solutions.PLACEMENT CRITERIA & REQUIREMENTSBackground in statistics and data science8+ years data engineering delivery experienceStrong understanding of ML algorithms, statistical modeling, and data science principlesExperience in developing and deploying machine learning models using Microsoft MLCurrent Microsoft and/or Databricks certificationsTECHNICAL SKILLS REQUIREDGeneral ArchitectureIn-depth knowledge of Azure OpenAIBeing able to interpret business requirements into functional and then technical requirementsProficiency in Azure services, especially: ML, Cognitive Services, Azure Databricks, Azure Synapse AnalyticsExperience solutioning Azure Cloud based enterprise data architecturesKnowledge of deep learning frameworks with a focus on Microsoft’s Cognitive Toolkit (CNTK), TensorFlow and PyTorchExperience in implementing and optimizing deep learning modelsExperience developing and implementing Retrieval Augmented Generation (RAG)Information ArchitectureData Modeling principles for relational and dimensional data structuresData Lake design principles, Data VirtualizationStrong knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced AnalyticsExperience with following languages: Python, R, Scala, SQL, MExperience in multidimensional and / or tabular models (SSAS)Microsoft Azure StackRDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning)ETL/ELT, (ADF, SSIS)Data governance – (Purview, Unity Catalogue)Databricks Delta Lake StorageAzure Dev OPSDESIRED SKILLSAdvanced Analytics Data TechnologiesDatabricks, Delta Lake, SynapseSpark SQL, PysparkAzure Data ExplorerLogic Apps, Key VaultSemi structured data processingIntegration RuntimeCoding experience: Python, C#, Java for Data analysis purposeOne of the following certifications:Azure AI Engineer AssociateAzure FundamentalsAI-900 Azure AI FundamentalsAzure Data Scientist AssociateAzure Machine Learning SpecialtyInformation ArchitectureData Stewardship, Ownership and Quality Management principlesData Governance, Data Catalog, Enterprise Information ManagementNON-TECHNICAL SKILLSBusiness EngagementDemonstrated ExperienceProviding thought leadership and business strategy acumen around advanced analytics and business information lifecycleLeading customers through a value-based decision-making cycleDeveloping functional, non-functional and technical requirements based on business imperativesPresenting to customer executive teams with authority and purposeCYCLOTRON EXPECTATIONSThese are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes.Communication and Interpersonal Skills – verbal and written, professional, concise, and effective.Collaboration and Teamwork - share knowledge, build alliances, show respect.Personal Ownership and Responsibility – take initiative, solve problems, be fully present.Customer Focus – Proactive management or Client expectations and needs.Time Management and Productivity – Set Goals, Commit, Record, CommunicateCyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team.Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.
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