Azure AI Solutions Architect

| Dallas, TX, USA
Employer Provided Salary: 185,000 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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Azure AI Solutions Architect 

Level: Senior
Department: Azure
Location: Anywhere in US (fully remote)
Type: FTE
Pay Range: $135-$185K

GENERAL DESCRIPTION & RESPONSIBILITIES 

The 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 & REQUIREMENTS 

  • Background in statistics and data science 

  • 8+ years data engineering delivery experience 

  • Strong understanding of ML algorithms, statistical modeling, and data science principles 

  • Experience in developing and deploying machine learning models using Microsoft ML 

  • Current Microsoft and/or Databricks certifications 

TECHNICAL SKILLS REQUIRED 

General Architecture 

  • In-depth knowledge of Azure OpenAI 

  • Being able to interpret business requirements into functional and then technical requirements 

  • Proficiency in Azure services, especially: ML, Cognitive Services, Azure Databricks, Azure Synapse Analytics 

  • Experience solutioning Azure Cloud based enterprise data architectures 

  • Knowledge of deep learning frameworks with a focus on Microsoft’s Cognitive Toolkit (CNTK), TensorFlow and PyTorch

  • Experience in implementing and optimizing deep learning models 

  • Experience developing and implementing Retrieval Augmented Generation (RAG) 

Information Architecture 

  • Data Modeling principles for relational and dimensional data structures 

  • Data Lake design principles, Data Virtualization 

  • Strong knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced Analytics 

  • Experience with following languages: Python, R, Scala, SQL, M 

  • Experience in multidimensional and / or tabular models (SSAS) 

Microsoft Azure Stack 

  • RDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning) 

  • ETL/ELT, (ADF, SSIS) 

  • Data governance – (Purview, Unity Catalogue) 

  • Databricks Delta Lake Storage 

  • Azure Dev OPS 

DESIRED SKILLS 

Advanced Analytics Data Technologies 

  • Databricks, Delta Lake, Synapse 

  • Spark SQL, Pyspark 

  • Azure Data Explorer 

  • Logic Apps, Key Vault 

  • Semi structured data processing

  • Integration Runtime 

  • Coding experience: Python, C#, Java for Data analysis purpose 

  • One of the following certifications:

  • Azure AI Engineer Associate 

  • Azure Fundamentals 

  • AI-900 Azure AI Fundamentals 

  • Azure Data Scientist Associate 

  • Azure Machine Learning Specialty 

Information Architecture 

  • Data Stewardship, Ownership and Quality Management principles 

  • Data Governance, Data Catalog, Enterprise Information Management 

NON-TECHNICAL SKILLS 

Business Engagement 

  • Demonstrated Experience 

  • Providing thought leadership and business strategy acumen around advanced analytics and business information lifecycle 

  • Leading customers through a value-based decision-making cycle 

  • Developing functional, non-functional and technical requirements based on business imperatives 

  • Presenting to customer executive teams with authority and purpose 

CYCLOTRON EXPECTATIONS 

These 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, Communicate 

Cyclotron 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. 

More Information on Cyclotron, Inc.
Cyclotron, Inc. operates in the Software industry. The company is located in San Francisco, California. Cyclotron, Inc. was founded in 2014. It has 160 total employees. To see all 24 open jobs at Cyclotron, Inc., click here.
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