Hourly Xai Jobs (NOW HIRING)

Location: Englewood, CO Salary: $75.00 USD Hourly - $80.15 USD Hourly Description:
Title : Principal AI/ML Engineer
Location: Englewood, CO
Duration: 6 Months Temp to Hire
Pay: $80.15/hr. on W2
Job Summary
We are seeking a highly experienced Principal AI/ML Engineer to lead the technical vision, architecture, and execution of advanced Artificial Intelligence and Machine Learning initiatives. This individual will drive innovation across autonomy, perception, analytics, and generative AI domains while establishing scalable AI/ML frameworks, infrastructure, and best practices.
The ideal candidate combines deep technical expertise with strategic leadership capabilities and has a proven track record of architecting and deploying large-scale, mission-critical AI/ML systems. This role requires the ability to influence technical direction, mentor engineering teams, evaluate emerging technologies, and collaborate with stakeholders to deliver transformative AI-driven solutions.
Key Responsibilities
Technical Leadership & Architecture

• Define and drive long-term AI/ML strategy, technical roadmaps, and architectural standards.
• Lead the design and development of advanced AI solutions including deep learning, reinforcement learning, multimodal generative AI, perception systems, and decision-making algorithms.
• Architect scalable end-to-end AI/ML systems across cloud, enterprise, edge, and embedded environments.
• Translate high-level business and mission objectives into actionable AI/ML architectures, technical frameworks, data strategies, and resource plans.
• Guide engineering trade studies, technology selection, and system-level design decisions.

AI/ML Platform & Infrastructure

• Define and advocate for scalable AI/ML infrastructure, including data pipelines, compute environments, MLOps platforms, cloud/on-premise systems, and deployment frameworks.
• Establish best practices for the complete AI/ML lifecycle, including:
• Data management and governance
• Model development and versioning
• CI/CD for machine learning
• Monitoring and performance tracking
• Validation and continuous improvement
• Ensure AI/ML solutions are designed for scalability, reliability, security, and enterprise-wide adoption.

Research & Innovation

• Identify and champion emerging AI/ML technologies and high-value R&D opportunities.
• Evaluate advancements in transformers, RLHF, generative AI, explainable AI (XAI), edge AI, GPU acceleration, and other cutting-edge technologies.
• Drive innovation through research, experimentation, prototyping, and technology demonstrations.
• Develop reusable frameworks, accelerators, and common assets that support multiple programs and initiatives.

Program Execution & Collaboration

• Oversee multiple AI/ML development efforts simultaneously, conducting technical reviews, risk assessments, and mitigation planning.
• Collaborate with engineering, product, infrastructure, and leadership teams to align AI/ML initiatives with organizational goals.
• Lead the development of simulation environments, sensor fusion models, computer vision systems, and autonomy solutions.
• Present technical concepts, demonstrations, and strategic recommendations to executive leadership and stakeholders.

Mentorship & Team Development

• Provide technical leadership and guidance to engineering teams.
• Mentor engineers and data scientists, fostering technical excellence and professional growth.
• Help define staffing requirements, resource planning, and skill development strategies.
• Promote a culture of innovation, collaboration, and continuous learning.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field.
• 14+ years of experience in AI/ML, machine learning engineering, data science, or related technical disciplines.
• Deep expertise in:
• AI/ML system architecture
• Deep learning
• Reinforcement learning
• Generative AI and foundation models
• Large-scale machine learning systems
• Strong programming skills in one or more of the following:
• Python
• C++
• C#
• Java
• Proven experience architecting, deploying, and scaling complex AI/ML systems in production environments.
• Demonstrated experience providing technical leadership across programs, teams, or organizations.
• Experience defining technical strategy and influencing senior stakeholders.
• Strong understanding of cybersecurity, system reliability, and compliance considerations in AI/ML environments.
• Proven ability to mentor and develop engineering talent.

Preferred Qualifications

• Master's degree or PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
• Experience applying AI/ML to:
• Autonomous systems
• Sensor fusion
• Computer vision
• Embedded or real-time platforms
• Expertise with:
• MLOps platforms and ML engineering standards
• Validation and verification frameworks
• Data management and governance
• GPU acceleration technologies
• CUDA and TensorRT
• Parallel and distributed computing
• Knowledge of:
• Edge AI
• Explainable AI (XAI)
• Emerging AI/ML technologies
• Human-machine interaction (HMI) systems
• Autonomy architectures and decision systems
• Publications, patents, conference presentations, or recognized thought leadership in AI/ML.

Technical Skills
Required

• AI/ML System Architecture
• Deep Learning
• Reinforcement Learning
• Generative AI / Generative Models
• Python
• Scalable Machine Learning Systems
• Technical Leadership

Preferred

• TensorRT
• CUDA
• C++
• C#
• Java
• MLOps
• Data Management
• Validation Frameworks
• GPU Acceleration
• Parallel Computing
• Edge AI
• Explainable AI (XAI)
• Multimodal Sensor Fusion
• Embedded Systems
• Real-Time AI Applications
• Advanced AI Research & Innovation

Ideal Candidate
The ideal candidate is a visionary AI/ML leader who can combine strategic thinking, hands-on technical expertise, and organizational influence to deliver innovative AI solutions at scale. They are passionate about emerging technologies, capable of solving highly complex problems, and committed to building high-performing technical teams while advancing next-generation AI capabilities.
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