Coalfire

Technology Fellow – AI Systems & Automation, GenAI & Agentic AI

Coalfire

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $226,000 - $250,000 per year

Job Level

SeniorLead

Tech Stack

AWSAzureCloudCyber SecurityDistributed SystemsGoGoogle Cloud PlatformJavaPythonPyTorchTensorflow

About the role

  • Advance the organization’s capabilities in Generative AI (GenAI) and Agentic AI systems
  • Drive innovation, research, and architecture for large-scale AI automation
  • Lead the design, architecture, and deployment of GenAI and Agentic AI systems to deliver scalable automation solutions
  • Drive applied research in emerging AI techniques, including multi-agent orchestration, context engineering, and adaptive automation
  • Collaborate with cross-functional teams (engineering, product, security, compliance) to translate business requirements into technical AI solutions
  • Establish standards, frameworks, and best practices for AI system design, security, governance, and lifecycle management
  • Mentor senior engineers and architects to strengthen organizational expertise in advanced AI
  • Publish thought leadership, represent the organization in industry forums, and engage with external partners/vendors to influence AI strategy
  • Evaluate and implement tools, frameworks, and platforms that accelerate AI adoption and reduce technical debt
  • Track industry trends and provide insights on AI risks, ethics, and regulatory implications

Requirements

  • 10+ years in AI, machine learning, or automation systems, including 5+ years in a technical leadership or distinguished engineer role
  • Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent experience)
  • Expertise in Generative AI (LLMs, transformers, diffusion models)
  • Proven experience with agentic AI architectures and orchestration frameworks
  • Strong background in automation platforms, distributed systems, and cloud-native environments
  • Proficiency in programming languages such as Python, Go, or Java
  • Experience with AI/ML frameworks (PyTorch, TensorFlow, LangChain, etc.)
  • Relevant AI/ML or cloud certifications (AWS, GCP, Azure AI/ML, etc.) if applicable
  • Demonstrated record of leading complex AI projects from research through deployment
  • Visionary leadership with the ability to set direction and influence organizational AI strategy
  • Strong communication skills with the ability to translate complex AI concepts for executives, clients, and technical teams
  • Deep analytical and problem-solving mindset
  • Adaptable and resilient in rapidly evolving AI/automation landscapes
  • Collaborative approach with strong mentorship skills
  • Ethical awareness and thoughtfulness in balancing innovation with responsible AI practices
  • Preferred: Advanced degree with specialization in AI alignment, agent systems, or reinforcement learning
  • Preferred: Experience in enterprise-scale AI deployments within regulated industries (finance, healthcare, cybersecurity)
  • Preferred: Contributions to open-source AI or multi-agent system frameworks
  • Preferred: Experience with security, privacy, and compliance in AI/automation contexts
  • Preferred: Track record of published research, patents, or industry-recognized technical contributions