AI Architect

Job not on LinkedIn

🕒 October 15

🏈 Alabama, Arizona, +32 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote 🦞 Maine – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $190k - $210k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 3%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Emergent Software

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2003

💼 Consulting

🏥 Healthcare

☁️ SaaS

Consulting • Healthcare • SaaS

Emergent Software is a software development and consulting company based in Minneapolis, Minnesota. The company specializes in custom software development, including websites, web applications, mobile apps, and business process automation. Emergent Software also offers services in database and analytics, Azure cloud consulting, and DevOps. The company acts as a full-stack technology partner for businesses, providing services from design to deployment, with a focus on long-term client partnerships. Additionally, Emergent Software provides staffing services through its sister company, Emergent Staffing, for roles in software development, cloud engineering, and more.

📋 Description

• 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 while 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 • 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 • 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 • Guide a growing AI team while driving next-generation capabilities across the SaaS platform portfolio

🎯 Requirements

• 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 • Experience designing AI systems leveraging knowledge graphs, ontologies, semantic search, graph databases, and 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 • Must be authorized to work in the United States without visa sponsorship • Candidates must reside in one of the following states: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Mexico, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, or Wisconsin • Must complete an online assessment including a short cognitive evaluation • Must pass a criminal background check prior to the first date of employment

🏖️ Benefits

• Fully remote role • Direct hire position • Opportunity to lead next-generation AI product innovation • Technical leadership and architecture ownership • All new hires and contractors are required to clear a criminal background check prior to their first date of employment

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