AI Domain Architect

Allegis Global Solutions•Hanover, MD

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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
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
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
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