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    Azure AI Solutions Architect - Dallas, United States - Cyclotron, Inc.

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    Description
    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 Cyclotrons 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 Cyclotrons sales, service delivery and project management organizations in service to Cyclotrons 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 Microsofts 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 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.

    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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