Locations: USA Remote
Duration: Contract 
Job Description: 
The AI Architect is responsible for designing and implementing AI-driven operational intelligence solutions that enhance observability, automation, analytics, and decision-making across enterprise platforms.
Key Responsibilities:
*	Define AI architecture standards and reference models.
*	Design Generative AI and Machine Learning solutions for IT Operations.
*	Develop predictive analytics and anomaly detection capabilities.
*	Integrate AI services with Dynatrace, observability tools, and enterprise data platforms.
*	Create intelligent operational workflows and automation strategies.
*	Drive adoption of AI-assisted troubleshooting and root cause analysis.
*	Collaborate with Data Science, Platform Engineering, and SRE teams.
*	Ensure AI solutions comply with governance, security, and ethical AI standards.
Required Skills:
*	AI/ML architecture
*	Large Language Models (LLMs)
*	Generative AI solutions
*	Predictive analytics
*	Data engineering and AI pipelines
*	MLOps practices
*	Python and AI frameworks
*	Dynatrace Davis AI capabilities
*	Preferred Certifications
*	Microsoft Azure AI Engineer
*	AWS Machine Learning Specialty
*	Google Professional Machine Learning Engineer
Description and Location
The Enterprise Architect defines the strategic vision, governance, and roadmap for enterprise observability, AI-enabled operations, and monitoring platforms. The role ensures alignment between business objectives, technology strategy, cloud transformation, and operational resilience initiatives.
Key Responsibilities:
*	Define enterprise-wide observability and operational intelligence strategies.
*	Establish architecture standards, governance frameworks, and technology roadmaps.
*	Lead design and adoption of enterprise observability platforms and services.
*	Drive integration of AI and AIOps capabilities into enterprise operations.
*	Provide architectural oversight for cloud, hybrid, and on-premise monitoring solutions.
*	Define enterprise standards for monitoring, logging, tracing, and service reliability.
*	Collaborate with engineering, operations, security, and business stakeholders.
*	Evaluate emerging observability and AI technologies.
Required Skills:
*	Enterprise Architecture (TOGAF preferred)
*	Dynatrace platform architecture
*	Cloud platforms (Azure, AWS, GCP)
*	Kubernetes and modern application architectures
*	Observability frameworks and OpenTelemetry
*	AI, Machine Learning, and AIOps concepts
*	Executive stakeholder management
Preferred Certifications:
*	TOGAF
*	Dynatrace Certified Professional
*	Azure Solutions Architect
*	AWS Solutions Architect
;
Remote

Remote Contract Position for Enterprise Architect (TOGAF preferred) / AI Architect (Build)
