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# AI Architect with agentic and nvidia experience

- **Company:** ApTask
- **Location:** Dulles, VA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Monitoring of Systems, Python (Programming Language), Machine Learning, Software Tools, Tensorflow, SQL Databases, Web Application Frameworks, Feature Engineering, Data Ingestion, Pytorch, Apache Spark, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** June 13, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=4ujdnwqsdebu7m13em5f0pt5dw80o500d7dv9cbq5ebzngb7yk0n43mjtefnbx0d&compid=0/jobs/28609648#/jobs/28609648

## About the Role

* Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related technical field, or equivalent hands-on experience.
 * Proven expertise in architecting, building, and deploying machine learning models and AI systems in production environments.
 * Deep proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.), as well as SQL and data engineering tools.
 * Experience with cloud platforms (Azure, AWS) and MLOps practices (CI/CD, model monitoring, automated retraining).
 * Strong background in data analytics, big data platforms (Apache Spark), and scalable data pipelines.

## Description

The AI Architect is responsible for assessing and designing complex solutions to meet our client's technology and business needs. Incumbents manage project teams that consult with our clients to analyze and identify technical requirements. Incumbents are subject matter experts for strategic client opportunities.

As an AI Architect you will:

 * Lead the design and architecture of AI/ML solutions tailored to client business needs, ensuring scalability, reliability, and performance.
 * Collaborate with clients and internal teams to gather, analyze, and refine technical and business requirements.
 * Oversee the prototyping, iteration, and productionization of DS/ML models and AI systems, guiding engineering teams through best practices.
 * Architect end-to-end machine learning pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, and MLOps.
 * Integrate AI/ML solutions with existing client infrastructure, leveraging cloud platforms (Azure, AWS) and modern frameworks (Databricks, Apache Spark).
 * Validate and optimize deployed models and solutions, ensuring alignment with business objectives and technical standards.
 * Provide technical leadership and mentorship to client and internal teams on DS/ML architecture and implementation.
 * Be Ambitious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.


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