Overview
Skills
Job Details
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Job Title: AI Architect Onsite from Day one. NO REMOTE
Location: Irving, TX- 3 days in office.
Duration: 6-12 months
Job Description
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
- AI Solution Architecture- 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
 
- ML Pipeline Engineering- 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
- Leverage Platform to democratize AI across business units
 
- 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
Preferred Qualifications
- Experience in deploying generative AI solutions using Azure OpenAI
- Knowledge of Responsible AI principles and Microsoft s AI governance tools
- Background in enterprise architecture or cloud-native solution design
- Experience with API management and containerization.
Harjeet Singh
Marlabs LLC. | One Corporate Place South | Piscataway, NJ 08854
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