AI Director

About This Opportunity

We are representing a confidential SaaS organization that is placing AI at the center of its product strategy. Our talent team is seeking an experienced AI Director to lead the architecture, roadmap, and delivery of customer-facing AI capabilities across multiple platform products.

This is a hands-on leadership role combining AI strategy, software architecture, and team leadership. You will guide a growing AI team while driving next-generation capabilities including agentic systems, personalization, and AI-powered product innovation. This position is fully remote within the United States.

Responsibilities

AI Strategy & Architecture

• Own the architecture and technical direction for AI capabilities across the product portfolio
• Define roadmaps for current AI initiatives and next-generation AI systems
• Design scalable agentic workflows, personalization capabilities, and AI-driven customer experiences
• Establish architecture standards for memory, context management, prompts, evaluation frameworks, retrieval-augmented generation (RAG), knowledge representation, ontologies, and reusable AI patterns
• Lead AI integration efforts across.NET, Node, Go, and Java platforms
• Evaluate emerging technologies, frameworks, and AI infrastructure solutions

Hands-On Technical Leadership

• Remain actively involved in architecture, prototyping, and software development
• Develop reference implementations and guide technical decisions through hands-on leadership
• Lead build-versus-buy decisions regarding AI platforms, frameworks, and infrastructure
• Partner with Platform Engineering on AI infrastructure, evaluation systems, runtime environments, and governance
• Serve as a trusted advisor to engineering leadership on AI strategy and long-term technical direction

Team Leadership

• Lead and mentor the existing AI team, including engineers and contractors
• Foster technical excellence through design reviews, coaching, and architectural guidance
• Collaborate closely with engineering leaders, product teams, and stakeholders across the organization
• Support broader product engineering teams adopting AI capabilities

Innovation & Growth

• Explore and deliver new AI use cases, products, and greenfield opportunities
• Lead initiatives involving agent harnesses, personalized content generation, and future MCP implementations
• Participate in technical due diligence and AI capability assessments for potential acquisitions
• Identify practical AI opportunities that create measurable business value

Governance & Compliance

• Establish best practices for AI governance, model selection, hosting strategy, tenant isolation, and data privacy
• Partner with Legal, Information Security, and IT teams to support enterprise AI requirements
• Ensure AI solutions align with security, compliance, and regulatory expectations

What We're Looking For

Required Qualifications:

• 10+ years of software engineering experience, with significant architecture and technical leadership responsibilities
• Proven experience designing, deploying, and scaling production AI, machine learning, RAG, or agentic systems
• Deep understanding of modern AI architecture, including LLM applications, retrieval-augmented generation (RAG), memory, context management, evaluation frameworks, knowledge graphs, ontologies, and other AI/ML techniques
• Strong hands-on software engineering background with the ability to remain actively involved in development
• Experience leading technical strategy, architecture decisions, and AI roadmaps
• Ability to work across multiple technology stacks and integrate AI capabilities into existing platforms
• Strong communication and collaboration skills with technical and executive stakeholders
• Experience leading teams while maintaining direct technical contribution
• Comfortable operating in fast-paced, evolving SaaS environments
• Must be authorized to work in the United States without visa sponsorship

Nice to Have:

• Experience with agentic AI, agent orchestration, agent harnesses, and MCP initiatives
• Experience designing AI systems leveraging knowledge graphs, ontologies, semantic search, graph databases, and retrieval-augmented generation (RAG) architectures
• Experience working with graph databases, vector databases, knowledge representation frameworks, and semantic data models supporting AI applications
• Experience with Python, Node.js, or TypeScript
• AWS and AWS Bedrock experience
• Experience with evaluation platforms such as Braintrust, LangSmith, LangFuse, or similar tools
• Background as a Principal Engineer, Staff Engineer, Architect, consultant, startup leader, or innovation lab contributor
• Experience conducting technical due diligence or evaluating acquisition targets
• Financial services, wealth management, insurance, or other regulated industry experience
• Experience supporting AI initiatives within high-growth or private-equity-backed SaaS organizations

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will review your application and conduct an initial screening. Qualified candidates will progress through technical assessments and interviews with our team before we submit you to our client for final interviews. Please do not contact the client directly—all communication should go through Get A Job.ai to ensure proper representation and candidacy management.

Our vetting process includes:

• Application review
• Online technical assessment
• Initial phone interview with our team
• Virtual interview with hiring manager
• Final client interview
• Job offer

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all applicants and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected characteristic. We celebrate diversity and are dedicated to creating an inclusive environment for all candidates.