Director, Agentic AI Solutions & Architecture

Remote - US

Reporting to Office of the CEO

Legion is expanding its AI capabilities to support advanced, intelligent workflows across workforce operations. We are hiring a Director, Agentic AI Solutions & Architecture to help shape how these capabilities are positioned, designed, and delivered in enterprise environments.

• Strategic Leadership: This senior position, situated within the Office of the CEO, will define the strategic direction for Legion's advanced, intelligent workflows across enterprise workforce operations.
• Interdisciplinary Focus: The role integrates expertise in AI architecture, cross-functional collaboration with Product and Engineering, and customer-facing solution design.
• Scope and Trajectory: The Director will operate as a "player–coach," executing hands-on work initially and subsequently leading the expansion of the AI Solutions function into broader leadership responsibilities.

Key Responsibilities

• AI Solutions Architecture: Design and communicate comprehensive, end-to-end AI-enabled solutions that align with Legion’s platform capabilities and translate complex customer business requirements into scalable, agent-based architectures.
• Technical Consulting and Governance: Support intricate solution design involving critical factors such as data integration, security protocols, and governance frameworks.
• Generative AI & Agentic Systems Expertise: Apply practical, deep knowledge of generative AI, Large Language Models (LLMs), and agent-based systems to deliver value in enterprise use cases, including the definition of agent workflows, tool utilization, and human-in-the-loop patterns.
• Field Engagement: Serve as the technical and solution-oriented Subject Matter Expert (SME) in customer-facing discussions, providing solution framing and technical validation to support Sales and Go-To-Market (GTM) teams on high-value AI opportunities.
• Organizational Enablement: Develop and maintain reusable solution artifacts, reference architectures, and standardized best practices to ensure consistency in the explanation, demonstration, and deployment of AI capabilities.

Required Experience and Qualifications

• Professional Background: A minimum of 10 years of experience in enterprise software, with demonstrable tenure in roles such as Solutions Architect, Technical Pre-Sales, Platform/Systems Architecture, or AI-focused customer-facing positions.
• Enterprise Engagement: Proven history of successful direct engagement with large enterprise clientele.
• Generative AI Proficiency (Mandatory): Candidates must possess hands-on experience in several of the following areas:
• Designing and building applications utilizing Large Language Models (LLMs) (e.g., OpenAI, Anthropic, Google, open-source models).
• Developing agent-based systems, including tool/function calling, multi-step reasoning, and human-in-the-loop integration.
• Practical expertise in prompt design, rigorous evaluation, and iteration processes.
• Strong understanding of enterprise AI system considerations, including latency, cost optimization, reliability, security, data governance, and observability.
• Technical Acumen: Strong command of API-driven and cloud-native architectures, with the ability to integrate AI systems seamlessly with existing enterprise platforms and data sources.

Preferred Qualifications

• Prior experience with leading agent frameworks, orchestration layers, or dedicated AI platforms.
• Experience in building or supporting commercially available AI-powered enterprise products.
• Familiarity with regulated or highly security-conscious enterprise environments.
• Exposure to the domain of workforce operations, operations platforms, or vertical SaaS.
• A career traject