AI System Architect

• Lead the design and implementation of advanced AI/ML systems including large language models computer vision transformers and reinforcement learning solutions for industrial applications
• Develop and deploy production-grade deep learning pipelines using cloud platforms (AWS GCP Azure) with focus on scalability reliability and performance optimization
• Build innovative AI solutions leveraging transformer architectures generative models and Bayesian frameworks to solve complex business challenges in ocean exploration robotics and industrial automation
• Implement online reinforcement learning systems for resource optimization and intelligent decision-making in critical operational environments
• Lead cross-functional teams in developing foundation models and fine-tuning strategies using advanced techniques including curriculum learning adversarial training and multimodal approaches
• Establish and drive MLOps best practices including automated model training pipelines continuous deployment monitoring and A/B testing frameworks using tools like Docker Kubernetes and AdaptDL
• Translate cutting-edge AI research papers into production-ready solutions while maintaining robust evaluation metrics and interpretability frameworks
• Provide technical leadership and mentorship to the AI/ML engineering team guiding development in advanced concepts including manifold embeddings graph neural networks and causal inference methodologies
• Work with external partners (academic and commercial) to coordinate AI development efforts and integrate novel technologies
• Ensure AI systems comply with security privacy regulations and implement responsible AI development practices
• Present complex AI implementations and research findings to technical and non-technical stakeholders through clear documentation and compelling presentations

A technical leader with proven expertise in architecting and deploying enterprise-scale AI systems. You combine deep theoretical understanding of neural networks with strong leadership and implementation skills. Experienced in setting technical direction guiding development teams and taking AI initiatives from research to production. You excel at defining architectural standards making strategic technology decisions and translating complex algorithms into business value. Comfortable leading teams through ambiguity while maintaining focus on practical scalable solutions that drive business outcomes.

• Masters degree in computer science AI/ML or related field
• 5 years of experience in AI/ML development with focus on deep learning and neural network architectures
• Expert-level proficiency in TensorFlow PyTorch PyTorch Lightning and deep learning frameworks
• Demonstrated experience architecting and deploying large-scale AI systems in production environments
• Strong expertise in transformer architectures LLMs computer vision models and reinforcement learning
• Advanced programming skills in Python and C with experience in CUDA/GPU programming
• Proven experience with MLOps practices containerization (Docker/Kubernetes) and elastic workload management
• Deep understanding of the mathematics behind neural networks including optimization embeddings and statistical learning theory
• Experience with cloud platforms (AWS GCP Azure) for AI model deployment and scaling
• Track record of leading AI research initiatives and converting research papers to production code Strong problem-solving skills with ability to work on complex ambiguous problems
• Legal authorization to work in the United States
  

• PhD in Computer Science Machine Learning or related field
• Publications or significant contributions to AI/ML research conferences
• Experience with robotics autonomous systems or industrial automation applications
• Expertise in active inference causal inference and interpretability frameworks
• Knowledge of edge computing and embedded AI deployment
• Experience with government or defense contracts (NOAA Sandia Space Force)
• Competition wins (Kaggle hackathons) or open-source AI contributions
• Teaching or mentoring experience in AI/ML topics
• Experience with multimodal AI systems and cross-modal learning
• Background in formal methods and verification of AI systems
• Certifications in cloud AI platforms or specialized AI frameworks
  

At Emerson we prioritize a workplace where every employee is valued respected and empowered to grow. We foster an environment that encourages innovation collaboration and diverse perspectivesbecause we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship training or leadership opportunities we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results.

We recognize the importance of employee wellbeing. We prioritize providing flexible competitive benefits plans to meet you and your familys physical mental financial and social needs. We provide a variety of medical insurance plans with dental and vision coverage Employee Assistance Program 401(k) tuition reimbursement employee resource groups recognition and much more. Our culture offers flexible time off plans including paid parental leave (maternal and paternal) vacation and holiday leave.

Our compensation philosophy is simple: we pay a competitive base salary within the local market in which we operate and reward performance during our annual merit review process. The salary range for this role is $100500 - $145000 annually commensurate with the skills talent capabilities and experience each candidate brings to a role.

This position will be open for a minimum of 7 days from the day of posting. Applicants are encouraged to apply early to receive optimal compliance with the Colorado Job Application Fairness Act in any materials you submit you may redact or remove age-identifying information such as age date of birth or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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