Machine Learning Architect Jobs in Arizona (NOW HIRING)

Role Overview:

We are seeking a strategic and highly analytical Enterprise Application Architect to bridge the gap between our business objectives and technical execution within our Telehealth platform. In this critical role, you will be responsible for understanding and documenting our current technical landscape, designing resilient future-state architectures, and driving the complex technical strategy required to achieve and maintain our FedRAMP certification.

You will serve as a technical north star for our engineering teams, balancing the need for rapid innovation with strict adherence to security, compliance, and scalability standards. Crucially, you will architect and enforce the codebase branching and release management strategies that allow our commercial and government offerings to coexist efficiently without accumulating massive technical debt. If you excel at translating complex technical concepts for executive stakeholders, mentoring senior technical talent, and navigating the nuances of multi-environment, highly-regulated architectures (including both FedRAMP and HIPAA), we want you on our team.

Key Responsibilities:

Strategic Leadership & Vision

• Current & Future State Architecture: Document the current architectural state and draft comprehensive future-state target architectures.
• FedRAMP Certification Architecture: Serve as the primary technical driver for FedRAMP authorization. Define clear system boundaries, evaluate and mandate compliant component choices (e.g., FIPS 140-2/3 validated cryptography), and lead technical remediation efforts to address audit findings and POA&Ms (Plan of Action and Milestones).
• Advanced Branch Management & Alignment: Design, implement, and enforce a sustainable branching, merging, and release strategy across commercial and government environments. Prevent codebase drift, manage feature toggling across compliance boundaries, and optimize shared services while maintaining strict FedRAMP isolation requirements.
• Future-Proofing & AI/ML Strategy: Lay the architectural groundwork for future Artificial Intelligence and Machine Learning (AI/ML) integrations, evaluating where these technologies can drive business value and enhance user experiences in upcoming product builds.
• Business Alignment: Actively align technology initiatives and roadmaps with overarching business goals.
• Lifecycle & Debt Management: Manage technology roadmapping, oversee lifecycle management, and proactively identify and mitigate technical debt incurred by parallel commercial/government product development.
• Strategic Evaluation: Conduct "buy vs. build" analyses, vendor evaluations, and provide architectural input on requirement reviews and Level of Effort (LOE) estimations.

Technical Design & Standards

• Telehealth & Real-Time Communications: Architect highly scalable, low-latency integrations for video technology and telephony systems that serve as the backbone of our Telehealth offerings.
• System Optimization: Make actionable recommendations for improvements to platform performance, scalability, stability, and security.
• Architecture Modernization: Guide the strategic transition and considerations between microservices and monolithic architectures.
• Integration & Interoperability: Define API strategy, governance, and system integration patterns to ensure seamless interoperability.
• Data Oversight: Collaborate on data flow architectures and provide oversight for data modeling best practices.

Compliance & Security

• Government Compliance Enforcement: Translate FedRAMP (Moderate/High), DoD SRG, or other government compliance frameworks into actionable, testable engineering requirements and architectural patterns.
• Healthcare Compliance & Data Privacy: Ensure all architectures strictly comply with HIPAA, safeguarding Protected Health Information (PHI), alongside other data privacy regulations such as GDPR and CCPA.
• Secure Architecture: Drive the implementation of Zero-Trust architecture paradigms.
• Identity Management: Collaborate with security teams on robust Identity and Access Management (IAM) strategies.

Process & Methodology

• Agile/DevOps Integration: Integrate architectural workflows within Agile and SAFe frameworks.
• Deployment Excellence: Align architectural standards with CI/CD pipelines and DevOps best practices, specifically accounting for deployment pipelines into distinct commercial and GovCloud environments.
• Innovation Testing: Lead the development and evaluation of Proof of Concepts (PoCs) for emerging technologies, including early-stage exploration of AI/ML tooling.
• Business Continuity: Participate in disaster recovery planning and ensure architectures support strict business continuity requirements.

Collaboration & Mentorship

• Cross-Functional Communication: Bridge the communication gap between product management and engineering teams.
• Stakeholder Engagement: Translate complex technical concepts, trade-offs, and strategies into clear language for non-technical stakeholders.
• Mentorship: Mentor senior developers and tech leads, fostering a continuous culture of technical excellence and collaborative problem-solving.

Requirements

• Experience: 8+ years of software engineering experience, with at least 3+ years in an enterprise architectural role.
• FedRAMP & GovCloud Experience: Proven, hands-on experience architecting software for FedRAMP authorization, including deep familiarity with government cloud environments (e.g., AWS GovCloud, Azure Government) and boundary isolation requirements.
• Technical Depth: Deep understanding of cloud architectures (AWS/Azure/GCP), API gateways, microservices, complex source control management (SCM) strategies for parallel release tracks, modern deployment pipelines, video/telephony integrations, and data models in a Ruby on Rails environment.
• Emerging Tech: Familiarity or hands-on experience with AI/ML architectural concepts and large language model (LLM) integrations is a strong plus.
• Communication: Exceptional verbal and written communication skills with a track record of influencing executive leadership.
• Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).