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Location

Addison, TX | United States

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Job description

We are a leading technology solutions company, focused on delivering high-value data-driven solutions. Our team is passionate about innovation and collaborates to create cutting-edge solutions for enterprise projects. Currently, we are seeking an experienced AI Infrastructure Architect to join our Cloud Solutions team.

General Description & Responsibilities:

As an AI Infrastructure Architect, you will play a key role in designing and leading the delivery of high-value data-driven solutions. Collaborating across our sales, service delivery, and project management teams, you'll contribute to technical pre-sales activities and ensure project success.

Key Responsibilities:

Utilize your expertise in artificial intelligence, machine learning, and data science.
Lead and manage teams, aligning AI initiatives with overall business goals.
Manage AI projects from conception to delivery, applying project management methodologies.
Understand client needs and deliver AI solutions that meet their requirements.
Demonstrate problem-solving and analytical skills to address complex AI challenges.
Foster a collaborative and inclusive team culture, mentoring and developing team members.
Stay abreast of ethical considerations in AI, committing to responsible AI practices.
Deliver successful AI projects on time and within budget, measuring the impact of AI solutions.

Placement Criteria & Requirements:

Background in statistics and data science.
8+ years of 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.
Interpret business requirements into functional and technical requirements.
Proficiency in Azure services, especially ML, Cognitive Services, Azure Databricks, Azure Synapse Analytics.
Experience in solutioning Azure Cloud-based enterprise data architectures.
Knowledge of deep learning frameworks, focusing on Microsoft's Cognitive Toolkit (CNTK), TensorFlow, and PyTorch.
Implementation and optimization of deep learning models.
Experience with 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.
Experience with 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 DevOps.

Desired Skills:

Advanced Analytics Data Technologies: Databricks, Delta Lake, Synapse, Spark SQL, Pyspark, Azure Data Explorer, Logic Apps, Key Vault, Semi-structured data processing.
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:

Provide thought leadership and business strategy acumen around advanced analytics and business information lifecycle.
Lead customers through a value-based decision-making cycle.
Develop functional, non-functional, and technical requirements based on business imperatives.
Present to customer executive teams with authority and purpose.

Cyclotron Expectations:

These are the traits that we hold in high 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 of client expectations and needs.
Time Management and Productivity: Set goals, commit, record, communicate.
Employment Type: Full-Time
Salary: $ 135,000.00 185,000.00 Per Year

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