AI Architect

Emergent Software; Job (KY); Remote; USD 180,000 - 240,000; Full time

Job summary

Emergent Software is seeking an experienced AI Architect to lead architecture, roadmap, and delivery of customer-facing AI capabilities across its SaaS platform portfolio. This is a hands-on leadership role combining AI strategy, software design, and team guidance.

You will prototype, drive agentic systems, personalization, and MCP initiatives while coordinating across .NET, Node.js, Go, and Java stacks. The ideal candidate has led production AI efforts, designed scalable AI solutions, and

Qualifications

• 7+ years of software engineering with architecture leadership.
• Proven production AI design and deployment experience.
• Deep AI architecture knowledge: LLM, RAG, memory, ontologies.
• Experience with agentic AI and MCP initiatives.
• Experience with graph/vector databases and semantic models.
• Hands-on software development involvement.
• Ability to guide AI roadmaps and strategy.
• Strong communication with stakeholders.

Responsibilities

• AI Architecture & Development: define architecture for AI capabilities across product portfolio.
• Collaboration & Innovation: partner with Platform Eng and product teams to production.
• AI Governance & Security: establish best practices for model selection, privacy, and compliance.

Skills

AI architecture

Technical leadership

SaaS platforms

RAG systems

Knowledge graphs

Prompts & memory

Memory management

Tools

Python

Node.js

TypeScript

AWS Bedrock

Graph databases

Job description

This is a direct hire for one of our clients. This role is fully remote. Eligible candidates must be authorized to work in the US without visa sponsorship.

Our client is putting AI at the center of its product strategy and is seeking an experienced AI Architect to lead the architecture, roadmap, and delivery of customer-facing AI capabilities across its SaaS platform portfolio. This is a hands-on leadership role that combines AI strategy, software architecture, and team leadership. The ideal candidate has designed and delivered production AI solutions, led technical direction for AI initiatives, and remains actively involved in architecture, prototyping, and software development. You will guide a growing AI team while driving next-generation capabilities including agentic systems, personalization, MCP initiatives, and AI-powered product innovation.

Responsibilities

AI Architecture & Development

• Define the architecture and technical direction for AI capabilities across the product portfolio.

• Design and build scalable AI solutions, including agentic workflows, personalization, RAG, knowledge representation, and AI-driven customer experiences.

• Establish reusable patterns and standards for prompts, memory, context management, evaluation, and AI orchestration.

• Develop prototypes and reference implementations, remaining actively involved in software development.

• Integrate AI capabilities across .NET, Node.js, Go, and Java platforms.

• Evaluate emerging AI technologies, frameworks, and infrastructure, including build-versus-buy decisions.

Collaboration & Innovation

• Partner with Platform Engineering and product teams to move AI capabilities from concept through production.

• Provide architectural guidance, design reviews, and hands-on support to engineering teams adopting AI.

• Explore new AI use cases and emerging capabilities, including agent harnesses, personalized content generation, and MCP.

• Identify practical AI opportunities that create measurable customer and business value.

• Contribute to technical due diligence and AI capability assessments for potential acquisitions.

AI Governance & Security

• Establish best practices for model selection, hosting, tenant isolation, data privacy, and responsible AI development.

• Partner with Legal, Information Security, IT, and Platform Engineering to ensure AI solutions meet enterprise security, compliance, and regulatory requirements.

Qualifications

• 7+ 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.

• Experience with agentic AI, agent orchestration, agent harnesses, and MCP initiatives.

• Experience working with graph databases, vector databases, knowledge representation frameworks, and semantic data models supporting AI applications.

• 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.

• Comfortable operating in fast-paced, evolving SaaS environments.

Nice to Have Skills

• Experience designing AI systems leveraging knowledge graphs, ontologies, semantic search, graph databases, and retrieval-augmented generation (RAG) architectures.

• 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.

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