• Define and lead the overall application and data architecture strategy across the organization. • Design and implement scalable semantic models, data marts, and enterprise BI frameworks. • Establish standards for data modeling (star schema), naming conventions, and reusable datasets. • Lead environmental strategy including development, testing, deployment pipelines, and lifecycle management. • Ensure solutions are optimized for performance, scalability, and long-term maintainability. • Establish and enforce BI governance practices, including data quality, security (RLS), and access controls. • Define best practices for software development, version control, and release management. • Review and approve technical solutions to ensure alignment with architectural standards. • Provide technical leadership and mentorship to BI developers and analysts. • Conduct code reviews and enforce development standards across the BI team. • Act as the escalation point for complex technical challenges. • Design and develop complex BI solutions including semantic models, dashboards, and paginated reports. • Develop advanced DAX, Power Query (M), and T-SQL for high-performance analytics. • Partner with data engineering teams to define data pipelines, data structures, and ingestion strategies. • Leverage Microsoft Copilot, Fabric AI capabilities, and approved tools to enhance development efficiency and insight generation.

• Lead client discovery through interviews, workshops, and ongoing stakeholder engagement • Partner with R&D, formulation, and innovation teams to understand workflows, data challenges, and decision needs • Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria • Translate business and scientific needs into solution designs, architectural inputs, and delivery ready requirements • Lead UX/UI design, workflow modeling, and prototyping • Design Azure based agentic AI solutions, including conversational/chatbot interfaces and relational data retrieval • Collaborate with engineering on AI orchestration, data integration, security, scalability, and performance • Identify new AI use cases and opportunities to expand solution scope and value • Support roadmap evolution from basic data retrieval chatbots to advanced reasoning and decision support systems.

Company Description Working at Allegis Global Solutions (AGS) is more than just a job. It’s a career. It’s a community of people who invest in your development and empower you to blaze your own trail. Each of us is here to create real, measurable impact that moves needles. We operate beyond "roles" or "jobs" to realize the opportunity to make meaningful contributions to a bigger idea. Because we believe that when you build a workforce that’s designed to harness human enterprise, you design a workforce that’s built for impact. At AGS, we help companies all over the world transform their people into a competitive advantage. It’s not about filling seats. It’s about designing workforces to meet missions and unleash the most transformative power in business today: The power of human enterprise. With services around the globe, we have a point of view on the future of work that enables us to be a transformative partner in the way work gets done for our clients’ organizations. Meeting clients where they are, we design a plan and guide them along a transformational journey, applying bold actions and diverse minds to solve the most complex challenges – from permanent and extended workforce management to services procurement, consulting, direct sourcing and our Universal Workforce Model™. We also represent over 100 countries and speak dozens of languages. So as you’re building relationships and doing your job, you’ll be exposed to other cultures and advancement opportunities while expanding your knowledge of global markets and strategies. See what it’s like to work at AGS by searching #LifeAtAGS on any social network. Job Description The AI Domain Architect is a senior enterprise architecture role responsible for designing and operationalizing AI-enabled solutions across assigned domains and delivery portfolios. This role bridges enterprise AI strategy and practical execution — translating reference architectures, governance requirements, and platform capabilities into scalable, production-ready solution designs embedded within delivery teams. Operating at the enterprise level, the AI Domain Architect influences architectural direction across multiple initiatives while partnering closely with engineering, product, governance, and platform stakeholders to ensure AI systems are secure, observable, cost-effective, and aligned with AGS standards. This is not a purely advisory role. The AI Domain Architect works directly with the AI Product, Engineering, and delivery teams to ensure designs move successfully from concept to production. Responsibilities Enterprise-Aligned Solution Architecture - Design AI-enabled architecture across domains, ensuring alignment with enterprise standards and platform capabilities - Translate enterprise reference patterns into domain-level implementation blueprints - Guide architecture decisions for agentic systems, orchestration workflows, model integration, and AI-enabled capabilities - Ensure secure integration patterns including identity, permissions, auditability, and service-to-service authentication - Partner with engineering leads to ensure scalable and maintainable implementations Operationalization & Production Readiness - Embed observability, telemetry, evaluation, and monitoring requirements into AI system designs - Ensure AI solutions are built with lifecycle management, versioning, cost monitoring, and safe deployment practices - Implement evaluation frameworks including baseline test sets, regression validation, and quality thresholds - Collaborate with AI Product, Engineering, and Delivery teams to integrate logging, safety signals, and performance metrics - Support production readiness reviews and architectural risk assessments Governance Integration & Risk-Aware Design - Translate governance and risk requirements into practical architectural controls - Ensure required documentation, evidence, and compliance checkpoints are incorporated into delivery workflows - Guide teams through architecture reviews and governance intake processes - Embed approved guardrails and platform controls into solution designs - Proactively identify architectural risks and propose mitigation strategies Reuse, Standardization & Continuous Improvement - Promote reuse of approved templates, patterns, and reference implementations - Identify duplication risks within the domain and recommend consolidation strategies - Provide feedback to enterprise architecture and platform teams to refine reusable assets - Contribute to evolving standards based on implementation learnings and post-production insights Cross-Functional Influence - Operate as a senior architectural advisor across engineering, product, governance, and domain leadership - Participate in technical design workshops and delivery planning sessions - Provide architectural due diligence for AI-enabled integrations and third-party solutions - Support roadmap planning by ensuring architectural feasibility and scalability considerations Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience - 8–12+ years of experience in enterprise architecture, solution architecture, platform engineering, or AI-enabled system design - Demonstrated experience designing and implementing production-grade AI or automation solutions - Strong understanding of AI system design patterns including orchestration, tool-use integration, evaluation approaches, and operational considerations - Experience with secure integration practices (identity, access controls, audit logging, observability) - Proven ability to operate at enterprise scope while remaining delivery-oriented - Comfortable with light-weight hands-on validation, prototyping, or technical design deep-dives - Strong stakeholder communication skills with ability to translate architectural concepts into actionable delivery guidance Preferred Qualifications - Experience operating in regulated or high-governance environments - Familiarity with AI platform capabilities, MLOps practices, and production monitoring - Experience within staffing, workforce solutions, HR technology, or AI-enabled operating models - Prior experience supporting multiple delivery teams within a COE or enterprise architecture function Additional Information Per Pay Transparency Acts: The range for this position is $164,000 - $246,000 + bonus potential of up to $10,000. Benefits are subject to change and may be subject to specific elections, plan, or program terms. This role is eligible for the following: - Medical, dental, & vision - 401(k)/Roth - Insurance (Basic/Supplemental Life & AD&D) - Short and long term disability - Health & Dependent Care Spending Accounts (HSA & DCFSA) - Transportation benefits - Employee Assistance Program - Tuition assistance - Time off/Leave (PTO, primary caregiver/parental leave) The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email [email protected] for other accommodation options. *Location disclaimer: this position is open to North America locations outside of California, Colorado, New Jersey, New York and Washington.

Company Description Working at Allegis Global Solutions (AGS) is more than just a job. It’s a career. It’s a community of people who invest in your development and empower you to blaze your own trail. Each of us is here to create real, measurable impact that moves needles. We operate beyond "roles" or "jobs" to realize the opportunity to make meaningful contributions to a bigger idea. Because we believe that when you build a workforce that’s designed to harness human enterprise, you design a workforce that’s built for impact. At AGS, we help companies all over the world transform their people into a competitive advantage. It’s not about filling seats. It’s about designing workforces to meet missions and unleash the most transformative power in business today: The power of human enterprise. With services around the globe, we have a point of view on the future of work that enables us to be a transformative partner in the way work gets done for our clients’ organizations. Meeting clients where they are, we design a plan and guide them along a transformational journey, applying bold actions and diverse minds to solve the most complex challenges – from permanent and extended workforce management to services procurement, consulting, direct sourcing and our Universal Workforce Model™. We also represent over 100 countries and speak dozens of languages. So as you’re building relationships and doing your job, you’ll be exposed to other cultures and advancement opportunities while expanding your knowledge of global markets and strategies. See what it’s like to work at AGS by searching #LifeAtAGS on any social network. Job Description The AI Domain Architect is a senior enterprise architecture role responsible for designing and operationalizing AI-enabled solutions across assigned domains and delivery portfolios. This role bridges enterprise AI strategy and practical execution — translating reference architectures, governance requirements, and platform capabilities into scalable, production-ready solution designs embedded within delivery teams. Operating at the enterprise level, the AI Domain Architect influences architectural direction across multiple initiatives while partnering closely with engineering, product, governance, and platform stakeholders to ensure AI systems are secure, observable, cost-effective, and aligned with AGS standards. This is not a purely advisory role. The AI Domain Architect works directly with the AI Product, Engineering, and delivery teams to ensure designs move successfully from concept to production. Responsibilities Enterprise-Aligned Solution Architecture - Design AI-enabled architecture across domains, ensuring alignment with enterprise standards and platform capabilities - Translate enterprise reference patterns into domain-level implementation blueprints - Guide architecture decisions for agentic systems, orchestration workflows, model integration, and AI-enabled capabilities - Ensure secure integration patterns including identity, permissions, auditability, and service-to-service authentication - Partner with engineering leads to ensure scalable and maintainable implementations Operationalization & Production Readiness - Embed observability, telemetry, evaluation, and monitoring requirements into AI system designs - Ensure AI solutions are built with lifecycle management, versioning, cost monitoring, and safe deployment practices - Implement evaluation frameworks including baseline test sets, regression validation, and quality thresholds - Collaborate with AI Product, Engineering, and Delivery teams to integrate logging, safety signals, and performance metrics - Support production readiness reviews and architectural risk assessments Governance Integration & Risk-Aware Design - Translate governance and risk requirements into practical architectural controls - Ensure required documentation, evidence, and compliance checkpoints are incorporated into delivery workflows - Guide teams through architecture reviews and governance intake processes - Embed approved guardrails and platform controls into solution designs - Proactively identify architectural risks and propose mitigation strategies Reuse, Standardization & Continuous Improvement - Promote reuse of approved templates, patterns, and reference implementations - Identify duplication risks within the domain and recommend consolidation strategies - Provide feedback to enterprise architecture and platform teams to refine reusable assets - Contribute to evolving standards based on implementation learnings and post-production insights Cross-Functional Influence - Operate as a senior architectural advisor across engineering, product, governance, and domain leadership - Participate in technical design workshops and delivery planning sessions - Provide architectural due diligence for AI-enabled integrations and third-party solutions - Support roadmap planning by ensuring architectural feasibility and scalability considerations Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience - 8–12+ years of experience in enterprise architecture, solution architecture, platform engineering, or AI-enabled system design - Demonstrated experience designing and implementing production-grade AI or automation solutions - Strong understanding of AI system design patterns including orchestration, tool-use integration, evaluation approaches, and operational considerations - Experience with secure integration practices (identity, access controls, audit logging, observability) - Proven ability to operate at enterprise scope while remaining delivery-oriented - Comfortable with light-weight hands-on validation, prototyping, or technical design deep-dives - Strong stakeholder communication skills with ability to translate architectural concepts into actionable delivery guidance Preferred Qualifications - Experience operating in regulated or high-governance environments - Familiarity with AI platform capabilities, MLOps practices, and production monitoring - Experience within staffing, workforce solutions, HR technology, or AI-enabled operating models - Prior experience supporting multiple delivery teams within a COE or enterprise architecture function Additional Information Benefits are subject to change and may be subject to specific elections, plan, or program terms. This role is eligible for the following: - Medical, dental, & vision - 401(k)/Roth - Insurance (Basic/Supplemental Life & AD&D) - Short and long term disability - Health & Dependent Care Spending Accounts (HSA & DCFSA) - Transportation benefits - Employee Assistance Program - Tuition assistance - Time off/Leave (PTO, primary caregiver/parental leave) The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email [email protected] for other accommodation options. *Location disclaimer: this position is open to North America locations outside of California, Colorado, New Jersey, New York and Washington.