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# Artificial Intelligence Engineer

- **Company:** Talascend LLC
- **Location:** Reston, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Graph Database, Python (Programming Language), Tensorflow, Pytorch, Large Language Models, Generative AI, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Docker, Databricks
- **Published:** August 24, 2026
- **Apply:** https://www.talascend.com/portal/jobseekers/jobs/136481/application

## About the Role

* Bachelor's degree in Computer Science, Data Science, Engineering, or related field. Master's degree preferred.
 * 8-12 years of relevant experience in AI/ML development or 12-15 years of related work experience without a degree.
 * Proficiency in Python and AI frameworks (TensorFlow, PyTorch).
 * Experience with cloud platforms (Azure AI stack, Databricks).
 * Knowledge of MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines.
 * Understanding of engineering and construction workflows is a plus.
 * Strong problem-solving, communication, and collaboration skills.

Preferred Qualifications

 * Familiarity with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
 * Experience with knowledge graphs, agent-based AI systems, and predictive analytics.

## Description

The Artificial Intelligence Engineer will design, develop, and deploy AI/ML solutions that enhance engineering, construction, and business processes. This role bridges advanced technology and practical application, ensuring AI systems deliver measurable value across projects and functions., * Design, build, and implement AI/ML models for predictive analytics, generative design, and automation.

 * Convert prototypes into production-ready applications using frameworks like TensorFlow, PyTorch, or Scikit-learn.
 * Data engineering and integration
 + Collaborate with data engineers to develop robust data pipelines and architectures.
 + Apply ETL techniques and big-data tools to cleanse, organize, and transform data for AI models.
 * Deployment and optimization
 + Deploy AI models on cloud platforms (Azure AI/ML, Databricks) and integrate with the client's digital ecosystem.
 + Implement MLOps practices for lifecycle management, monitoring, and continuous improvement.
 * Collaboration and stakeholder engagement
 + Work with cross-functional teams (engineering, IT, project controls) to align AI solutions with business objectives.
 + Communicate complex AI concepts to non-technical stakeholders.
 * Governance and compliance
 + Ensure AI solutions adhere to security, ethics, and compliance standards.
 + Maintain documentation for models, processes, and decision-making.
 * Innovation and continuous learning
 + Stay current with emerging AI technologies (e.g., agentic AI, multimodal systems).
 + Contribute to initiatives and innovation programs focused on AI advancements.


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