• Map and document the current infrastructure and applications through interviews with the technical team. • Lead the High-Level Design (HLD) for all AI-related initiatives across the company. • Define standards and ensure optimal integration of the AI layer across AWS, Azure, and GCP environments. • Act as a technical consultant between Business stakeholders and the Development team.

Role Description Integration Architects are responsible for ensuring that client solutions being deployed and operationally maintained contain the most efficient technological and business process considerations enabling the capabilities required to meet specific business needs. This process involves working closely with internal and external stakeholders, project teams and subject matter experts (SME’s) providing leadership and holistic views into cross-business and functional solutions. This role is responsible for overall technical solution, including HRT configuration, integrations, testing, and data modeling. Will be required in overseeing all technical design and requirements, ensuring application is designed properly to requirements. Responsibilities - Architecture provides the business with what is needed, allowing effective solutions to be implemented on time, minimizing downstream maintenance, quality inefficiencies, and long-term operational cost. - Engagement goals with the Architecture team include leadership and execution coverage across the following areas: - Thought Leadership - Solution Governance - Lead Development for Solutions - Provides technical and project leadership on complex end-to-end enterprise implementations, expansion opportunities, and operational program efficiencies. - Leads requirements gathering, solution design, testing, and deployment of client invoicing solutions. - Analyses clients’ business and technical challenges and designs comprehensive solutions that integrate smoothly into customer environments. - Oversees and supports project data collection, modelling, and analysis. - Responsible for documentation and execution of system and integration testing, analysis, and validations, utilizing industry standard testing tracking software. - Execute design, configuration, and test plan for integrations, including ability to write scripts and basic JSON/cXML format statements. - Coordinates & provides input to technology and data staging (functional and technical). - Manages technical documentation creation, analysis, and maintenance (specifications, technology documents, error handling guides, test scenarios, etc.). - Runs project meetings in conjunction with other team members, providing technology considerations, notes, and takeaways. - Conducts technology research and analysis supporting project business rules. - Provides pre-sales technical support including RFx responses, presenting at BD pitches, conducting solution design, and reviewing contracts as needed for technical and invoicing requirements. - Manages, coaches, and directs the work of configuration and testing resources on and/or offshore. Qualifications - Five+ (5+) years of VMS experience preferred. - Three+ (3+) years of implementation experience preferred. - Experience with project management, reporting, and data modelling. - Bachelor’s Degree or equivalent experience. - Consulting experience preferred. - Multi-National experience preferred. - Ability to travel up to 20%. Requirements - Expert proficiency in creating effective architectural designs for highly complex integration architectures. - Expert consulting, negotiating, communicating, consensus building, influencing, presentation, and facilitation skills with both internal and external stakeholders of all levels. - Expert innovator with the ability to think beyond established standards and processes. - Expert-level knowledge and experience applying current and emerging technology solutions and trends to solve for complex business problems. - Working knowledge of various consulting/project methodologies, including Agile PM, Design Thinking Methodology, and Test Automation. - Extensive knowledge of integration file formats and canonical structures, transmission protocols, and transformation technologies. - Moderate understanding of coding languages & mathematical logic. - Ability to write basic and modify SQL, cXML, JSON, and HTTP response statements. - Ability to configure and troubleshoot integration endpoint setup, transmission protocols, encryption of data transmission, and middleware calls. - Moderate understanding of transmission and file encryption, and general data security (GDPR, SOX, etc.). - Exceptional Technical leadership experience. - Expert-level ability to communicate highly complex technical information clearly and articulately to all levels and audiences. - Thorough knowledge of process modelling techniques and protocols. - Expert-level knowledge of the staffing industry, HR, and recruiting practices. Benefits - Medical, dental & vision. - Hospital plans. - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available. - Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents). - Company paid short and long-term disability. - Health & Dependent Care Spending Accounts (HSA & DCFSA). - Employee Assistance Program. - Tuition Assistance. - Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave).

Role Description We are building the next generation of our SaaS platform, and we need someone to own the quality architecture that makes it all trustworthy. As a Principal Technology Architect - QA, you will design the systems, standards, and governance that raise the bar for quality across every product segment we ship. We are an AI-first organization. You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day. This is a hands-on architecture role, not a policy desk. You will: - Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on. - Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams. - Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release. - Bring AI into quality engineering: evaluate and roll out AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring. - Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks. - Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality. - Evaluate and introduce new tools, patterns, and practices that keep our quality approach current as the platform and industry evolve. - Mentor engineers across teams, raise the bar on how we hire for quality mindset, and contribute to engineering maturity across the organization. - Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement. Qualifications - Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent work experience is accepted in place of a degree. An advanced degree is a plus. - Experience: 15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles, with demonstrated org-wide architecture leadership. - Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms. - AI: Hands-on experience applying AI to quality workflows (e.g. AI-driven test generation, intelligent test selection, or automated defect detection). - Leadership: Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you. - Travel is required: Yes – Approximately 10%. Requirements - Comfortable using generative AI tools (e.g. GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis. - Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards. - Experience evaluating and integrating AI-powered quality tools (e.g. autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows. - Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices. Preferred Skills - Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization. - Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets). - Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations. - Exposure to security testing practices, compliance frameworks, or regulated industry quality standards. - Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level. - Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.

Role Description We are building the next generation of our SaaS platform, and we need someone to own the quality architecture that makes it all trustworthy. As a Principal Technology Architect - QA, you will design the systems, standards, and governance that raise the bar for quality across every product segment we ship. We are an AI-first organization. You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day. This is a hands-on architecture role, not a policy desk. You will: - Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on. - Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams. - Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release. - Bring AI into quality engineering: evaluate and roll out AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring. - Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks. - Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality. - Evaluate and introduce new tools, patterns, and practices that keep our quality approach current as the platform and industry evolve. - Mentor engineers across teams, raise the bar on how we hire for quality mindset, and contribute to engineering maturity across the organization. - Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement. Qualifications - Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent work experience is accepted in place of a degree. An advanced degree is a plus. - Experience: 15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles, with demonstrated org-wide architecture leadership. - Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms. - AI: Hands-on experience applying AI to quality workflows (e.g. AI-driven test generation, intelligent test selection, or automated defect detection). - Leadership: Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you. - Travel is required: Yes – Approximately 10%. Requirements - Comfortable using generative AI tools (e.g. GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis. - Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards. - Experience evaluating and integrating AI-powered quality tools (e.g. autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows. - Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices. Preferred Skills - Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization. - Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets). - Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations. - Exposure to security testing practices, compliance frameworks, or regulated industry quality standards. - Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level. - Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.