AI Architect

Requirements:

• At least 7 years of software engineering experience, including substantial architecture and technical leadership responsibilities.
• Demonstrated experience designing, deploying, and scaling production AI, machine learning, RAG, or agentic systems.
• Strong knowledge of modern AI architecture, including LLM applications, retrieval-augmented generation, 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 with graph and vector databases, knowledge representation frameworks, and semantic data models for AI applications.
• Strong hands-on software engineering skills and willingness to remain actively involved in development.
• Experience leading technical strategy, architecture decisions, and AI roadmaps.
• Ability to work across technology stacks and integrate AI capabilities into existing platforms.
• Strong communication and collaboration skills with technical and executive stakeholders.
• Comfortable working in fast-paced, evolving SaaS environments.
• Preferred: Experience with knowledge graphs, ontologies, semantic search, graph databases, and RAG architectures.
• Preferred: Experience with Python, Node.js, or TypeScript; AWS and AWS Bedrock; or evaluation platforms such as Braintrust, LangSmith, or LangFuse.
• Preferred: Background as a Principal Engineer, Staff Engineer, Architect, consultant, startup leader, or innovation lab contributor.
• Preferred: Experience with technical due diligence, acquisition target evaluation, or AI initiatives in regulated industries or high-growth or private-equity-backed SaaS organizations.
• Must be authorized to work in the United States without visa sponsorship.

Responsibilities:

• Set the architecture and technical direction for AI capabilities across the product portfolio.
• Design and develop scalable AI solutions, including agentic workflows, personalization, RAG, knowledge representation, and AI-powered customer experiences.
• Establish reusable standards and patterns for prompts, memory, context management, evaluation, and AI orchestration.
• Create prototypes and reference implementations while contributing directly to software development.
• Integrate AI capabilities across .NET, Node.js, Go, and Java platforms.
• Assess emerging AI technologies, frameworks, and infrastructure, including build-versus-buy options.
• Work with Platform Engineering and product teams to take AI capabilities from concept to production.
• Provide architectural guidance, review designs, and offer hands-on support to engineering teams adopting AI.
• Explore new use cases and capabilities, including agent harnesses, personalized content generation, and MCP.
• Identify practical AI opportunities with measurable customer and business value.
• Contribute to technical due diligence and AI capability assessments for potential acquisitions.
• Establish practices for model selection and hosting, tenant isolation, data privacy, and responsible AI development.
• Partner with Legal, Information Security, IT, and Platform Engineering to meet enterprise security, compliance, and regulatory requirements.
• Lead and guide a growing AI team.

Technologies:

• Agentic AI
• AI
• AWS
• Architect
• Support
• Java
• LLM
• Langfuse
• Machine Learning
• MCP
• Python
• RAG
• Security
• TypeScript
• ASP.NET
• NodeJS
• Cloud

More

We are recruiting directly for a client seeking an experienced AI Architect to lead architecture, roadmap planning, and delivery of customer-facing AI capabilities across its SaaS products. This hands-on leadership position combines AI strategy, software architecture, team leadership, and active development, with a focus on agentic systems, personalization, MCP initiatives, and AI-powered product innovation. The role is fully remote. Compensation is $190,000–$210,000 per year, with 401(k), dental, health, and vision benefits. Our vetting process includes an application, online assessment, initial phone interview, virtual hiring-manager interview, and final client interview.

last updated 43 week of 2026