Artificial Intelligence Engineer
About the role
Job Title: Artificial Intelligence Engineer
Location: Reston, VA 20190
Telework Type: Hybrid schedule.
Duration: 12 months
Pay Range: $50/hr - $75/hr
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)
Position Summary
The Artificial Intelligence Engineer will design, develop, and deploy AI/ML solutions that enhance Client engineering, construction, and business processes.
This role bridges advanced technology and practical application, ensuring AI systems deliver measurable value across projects and functions.
The position requires strong technical expertise in AI and machine learning, combined with an understanding of engineering workflows and data governance.
Responsibilities
AI Solution Development
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 & 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 & Optimization
Deploy AI models on cloud platforms (Azure AI/ML, Databricks) and integrate with Clients digital ecosystem.
Implement MLOps practices for lifecycle management, monitoring, and continuous improvement.
Collaboration & 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 & Compliance
Ensure AI solutions adhere to Clients security, ethics, and compliance standards.
Maintain documentation for models, processes, and decision-making.
Innovation & Continuous Learning
Stay current with emerging AI technologies (e.g., agentic AI, multimodal systems).
Contribute to Clients AI Center of Excellence initiatives and innovation programs.
Qualifications
Education:
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
Master’s degree preferred.
Experience:
8-12 years of relevant experience in AI/ML development or 12-15 years of related work experience without a degree.
Technical Skills:
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.
Domain Knowledge:
Understanding of engineering and construction workflows is a plus.
Soft Skills:
Strong problem-solving, communication, and collaboration skills.
Preferred Skills
Familiarity with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
Experience with knowledge graphs, agent-based AI systems, and predictive analytics.
Job Dimensions
Works under minimal supervision with latitude for independent judgment.
Handles issues of diverse scope within defined parameters.
May act as a technical lead on small projects or initiatives.
Responsibilities
- 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
- Collaborate with data engineers to develop robust data pipelines and architectures
- Deploy AI models on cloud platforms and integrate with Clients digital ecosystem
- Implement MLOps practices for lifecycle management, monitoring, and continuous improvement
- Work with cross-functional teams to align AI solutions with business objectives
- Ensure AI solutions adhere to Clients security, ethics, and compliance standards
- Stay current with emerging AI technologies and contribute to Clients AI Center of Excellence initiatives
Qualifications
- 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
- Experience with cloud platforms
- Knowledge of MLOps, containerization, and CI/CD pipelines
- Understanding of engineering and construction workflows is a plus
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) retirement plan
- Life insurance
- Long-term disability insurance
- Short-term disability insurance
- Paid parking/public transportation
- Paid time off
- Paid sick and safe time
- Paid vacation time
- Paid parental leave
Skills mentioned
About Collabera
At Collabera, we bridge top talent with industry-leading companies, creating a platform for meaningful career growth. With over 30 years of global expertise, we are an AI-first, people-centric organization empowering professionals with the right opportunities, resources, and networks to grow and lead. At Collabera, it’s not just about jobs, it’s about unlocking potential and shaping success.