This is a remote position. Principal Quality Automation Architect We are seeking a Principal Quality Automation Architect to define and lead enterprise-wide automation strategy across AI-driven applications, data platforms, and cloud environments. This role will be responsible for designing scalable, modern test automation frameworks that ensure the quality, reliability, and performance of solutions built across AWS, Azure, Tableau, Power BI, and DealCloud CRM integrations. This is a highly strategic, hands-on leadership role focused on building next-generation QA automation capabilities, particularly for AI/ML systems, data pipelines, and distributed cloud architectures. Key Responsibilities - Define and lead the enterprise test automation architecture and strategy across applications, data, and AI platforms - Design and implement scalable automation frameworks for UI, API, data, and AI/ML validation - Establish automation standards, tools, and best practices across AWS and Azure ecosystems - Architect automation solutions for data pipelines (ETL/ELT), data lakes, and analytics platforms - Build frameworks to validate outputs from AI/ML models, including accuracy, consistency, and regression testing - Integrate automated testing into CI/CD pipelines to enable continuous quality validation - Drive shift-left testing practices, embedding quality early in the development lifecycle - Oversee performance, load, and resilience testing strategies for high-scale applications - Partner with architecture, data, and engineering teams to ensure testability and observability - Provide technical leadership and mentorship to QA engineers and automation teams - Evaluate and implement modern tools for test automation, data validation, and AI testing Requirements Required Qualifications - 10+ years of experience in Quality Engineering, Test Automation, or QA Architecture - Proven experience designing and implementing enterprise-level automation frameworks - Strong hands-on experience with automation tools (e.g., Selenium, Cypress, Playwright, or similar) - Experience with API testing frameworks and microservices architectures - Deep understanding of cloud platforms (AWS and/or Azure) - Strong experience validating data pipelines, ETL/ELT processes, and data platforms - Experience with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps) and DevOps practices - Strong programming/scripting experience (e.g., Python, Java, or JavaScript) - Expertise in SQL and data validation techniques Key Traits for Success - Strategic thinker with the ability to design scalable QA ecosystems - Hands-on technical leader who can both architect and execute - Strong cross-functional collaboration skills - Passion for building modern, automation-first quality practices - Ability to operate in a greenfield AI environment

This is a remote position. Data Architect – AI & Cloud Data Platforms We are seeking a highly skilled Data Architect to design and lead the development of modern data ecosystems that support AI-driven solutions and client-facing applications. This role will be responsible for building scalable data architectures across cloud platforms, enabling advanced analytics, and supporting machine learning and AI initiatives. The ideal candidate has deep experience with AWS and Azure, strong expertise in data modeling and pipeline design, and a proven ability to integrate data across platforms including BI tools and CRM systems such as DealCloud. Key Responsibilities - Design and implement scalable, cloud-based data architectures across AWS and Azure - Develop and maintain enterprise data models (conceptual, logical, and physical) - Build and optimize data pipelines (ETL/ELT) to support analytics, reporting, and AI/ML use cases - Architect solutions that integrate data from multiple sources, including CRM systems (DealCloud) and third-party platforms - Partner with analytics teams to enable reporting through Tableau and Power BI - Define and enforce data governance, quality, and security standards - Design data frameworks to support AI/ML workloads, including feature engineering and model-ready datasets - Collaborate with application architects and engineers to ensure seamless data integration within applications - Optimize performance of data warehouses, data lakes, and real-time data processing systems - Evaluate and recommend tools and technologies to enhance the data ecosystem Requirements Required Qualifications - 7+ years of experience in data architecture, data engineering, or related roles - Strong experience with cloud data platforms (AWS and/or Azure) - Expertise in data modeling, data warehousing, and data lake architecture - Hands-on experience with ETL/ELT tools and data pipeline design - Experience supporting BI tools such as Tableau and Power BI - Strong SQL skills and experience with at least one programming language (Python preferred) - Experience integrating data from CRM platforms (DealCloud or similar) - Understanding of data governance, data quality, and security best practices Key Traits for Success - Ability to translate business needs into scalable data solutions - Strong collaboration skills across engineering, analytics, and business teams - Strategic mindset with the ability to design for future AI scalability - Strong attention to data integrity, performance, and usability

This is a remote position. Application Architect – AI Solutions We are seeking an experienced Application Architect to design and lead the development of scalable, AI-driven solutions for our client-facing applications. This role will be instrumental in shaping modern architectures across cloud platforms, data ecosystems, and business intelligence tools. The ideal candidate brings a strong background in cloud architecture (AWS and Azure), data platforms, and AI/ML integration, along with experience building solutions that integrate with CRM systems such as DealCloud. Key Responsibilities - Lead the architecture, design, and development of AI-enabled applications and platforms - Define scalable, secure, and high-performing solutions across AWS and Azure environments - Partner with data teams to design architectures that leverage Tableau and Power BI for analytics and reporting - Design and implement data pipelines and integrations across multiple systems, including CRM platforms like DealCloud - Translate business requirements into technical architecture, system design, and solution roadmaps - Evaluate and implement AI/ML models, APIs, and services (e.g., NLP, predictive analytics, generative AI use cases) - Establish architecture standards, best practices, and governance frameworks - Collaborate with engineering teams to ensure proper implementation of architecture designs - Provide technical leadership and mentorship to developers and engineers - Ensure solutions meet security, compliance, and performance requirements Requirements Required Qualifications - 7+ years of experience in application architecture or solution architecture roles - Strong hands-on experience with AWS and/or Microsoft Azure cloud platforms - Experience designing systems that integrate with data visualization tools such as Tableau and Power BI - Proven experience building enterprise-level applications and distributed systems - Strong understanding of data architecture, ETL processes, and API integrations - Experience working with or integrating CRM platforms (DealCloud or similar) - Knowledge of AI/ML concepts and frameworks (e.g., model integration, data pipelines, inference services) - Proficiency in modern programming languages (e.g., Python, Java, or .NET) - Experience with microservices architecture and RESTful APIs Key Traits for Success - Strong ability to bridge business needs and technical solutions - Excellent communication and stakeholder management skills - Strategic thinker with a hands-on, solution-oriented mindset - Ability to work in a fast-paced, evolving AI-driven environment

Emerging Tech is seeking an Integration Architect to support the Department of Veterans Affairs (VA) Electronic Health Record Modernization (EHRM) program. This role is responsible for leading system integration efforts across complex healthcare environments, ensuring alignment between clinical workflows, technical architecture, and enterprise standards. The ideal candidate brings hands-on experience with EHR systems, preferably Oracle Health/Cerner, along with deep expertise in systems integration, interoperability, and project delivery within large-scale healthcare or federal environments. Key Responsibilities - Lead and manage system integration efforts across EHR and related healthcare platforms - Align clinical workflows, technical solutions, and enterprise architecture - Oversee end-to-end project delivery, including planning, execution, and performance tracking - Ensure integration across EHR systems, ancillary systems, and third-party applications - Track and manage project schedules, costs, and performance metrics - Identify integration risks, system gaps, and dependencies, and drive mitigation strategies - Collaborate with clinical stakeholders, technical teams, and federal partners to ensure successful delivery - Support the design, development, and enhancement of healthcare IT systems - Provide technical guidance on interoperability, system compatibility, and workflow optimization Qualifications - 10+ years of professional experience in healthcare IT or enterprise IT environments - Strong experience with systems integration and interoperability such as HL7, FHIR, or APIs - Experience managing or leading complex IT projects or integration efforts - Deep understanding of SDLC and project lifecycle methodologies - Experience tracking cost, schedule, and performance metrics - Ability to identify and mitigate risks effectively - Bachelor’s degree in Engineering, Computer Science, Systems, Business, or a related technical discipline, or an additional 8 years of relevant experience in lieu of a degree Preferred Qualifications - Experience supporting the Department of Veterans Affairs or other federal healthcare programs - Experience with Oracle Health/Cerner EHR systems - Experience supporting large-scale EHR implementations or modernization efforts - Experience in clinical solutions, ancillary systems, business operations, or reporting tools such as Power BI or Discern Compensation for this role is expected to be in the range of $100,000 to $125,000 annually, based on experience and qualifications.