Marlabs LLC
We are seeking a visionary AI Architect with deep expertise in Microsoft technologies to lead the design, development, and deployment of enterprise‑grade AI solutions. This role is pivotal in shaping our AI strategy, leveraging Microsoft’s ecosystem—including Azure AI, Cognitive Services, and the Power Platform—to deliver intelligent, scalable, and secure solutions.
Key Responsibilities
Design end‑to‑end AI architectures using Azure Machine Learning, Cognitive Services, Azure OpenAI, and custom models
Define solution blueprints, reference architectures, and reusable components for AI workloads
Build and optimize scalable ML pipelines using Azure ML, Databricks, Synapse Analytics, and Snowflake
Implement feature engineering, model training, deployment, and monitoring using MLOps best practices
Application Integration
Embed AI capabilities into enterprise applications including Microsoft 365, and custom .NET solutions
Cross‑Functional Collaboration
Partner with data scientists, engineers, product managers, and business stakeholders to identify AI use cases
Translate business requirements into technical specifications and scalable AI solutions
Governance & Security
Ensure AI solutions comply with enterprise security, privacy, and Responsible AI standards
Implement model explainability, bias detection, and auditability frameworks
Thought Leadership & Enablement
Lead technical workshops, training sessions, and internal evangelism of AI capabilities
Stay ahead of Microsoft’s evolving AI landscape and industry trends to inform strategic decisions
Stay current
with Microsoft’s evolving AI offerings and industry trends
Required Skills & Qualifications
Proven experience as an AI Architect or similar role
Deep knowledge of Microsoft Azure AI stack: Azure ML, Cognitive Services, OpenAI on Azure
Strong understanding of data engineering tools: Azure Data Factory, Synapse, Databricks
Experience with MLOps, model lifecycle management, and CI/CD pipelines
Strong Proficiency in C# being priority
and Python or R is good to have
Excellent communication and stakeholder management skills
Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect) are a plus
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Consulting, Finance, and Information Technology
Industries
IT Services and IT Consulting, Financial Services, and Software Development
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Key Responsibilities
Design end‑to‑end AI architectures using Azure Machine Learning, Cognitive Services, Azure OpenAI, and custom models
Define solution blueprints, reference architectures, and reusable components for AI workloads
Build and optimize scalable ML pipelines using Azure ML, Databricks, Synapse Analytics, and Snowflake
Implement feature engineering, model training, deployment, and monitoring using MLOps best practices
Application Integration
Embed AI capabilities into enterprise applications including Microsoft 365, and custom .NET solutions
Cross‑Functional Collaboration
Partner with data scientists, engineers, product managers, and business stakeholders to identify AI use cases
Translate business requirements into technical specifications and scalable AI solutions
Governance & Security
Ensure AI solutions comply with enterprise security, privacy, and Responsible AI standards
Implement model explainability, bias detection, and auditability frameworks
Thought Leadership & Enablement
Lead technical workshops, training sessions, and internal evangelism of AI capabilities
Stay ahead of Microsoft’s evolving AI landscape and industry trends to inform strategic decisions
Stay current
with Microsoft’s evolving AI offerings and industry trends
Required Skills & Qualifications
Proven experience as an AI Architect or similar role
Deep knowledge of Microsoft Azure AI stack: Azure ML, Cognitive Services, OpenAI on Azure
Strong understanding of data engineering tools: Azure Data Factory, Synapse, Databricks
Experience with MLOps, model lifecycle management, and CI/CD pipelines
Strong Proficiency in C# being priority
and Python or R is good to have
Excellent communication and stakeholder management skills
Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect) are a plus
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Consulting, Finance, and Information Technology
Industries
IT Services and IT Consulting, Financial Services, and Software Development
#J-18808-Ljbffr