AI Solution Architect

Job title: AI Solution Architect

Job Location: Durham, NC

Work Model: REMOTE

Duration: 6+ months Contract

Job Description:

Mandatory skills:

• AI Solution Architect
• Agentic AI
• AI/ML

A Strategic Leader who can drive and deliver multiple AI Initiatives for Clients at account level as Leader/SPOC and FDE with hands-on expertise on the below areas:

• Design end-to-end AI/ML system architecture including data pipelines, model serving, inference infrastructure, and feedback loops.
• Architect Retrieval-Augmented Generation (RAG) pipelines for knowledge retrieval from curriculum content, textbooks, and learning repositories.
• Design multi-modal AI systems capable of processing text, audio, video, and assessments - Should have hands-on exp using Claude Code, Cursor, Blitzy Platforms.
• Establish architecture for Adaptive Learning Engines — systems that personalize content difficulty, pacing, and style based on learner behavior.
• Design LLM orchestration layers using frameworks such as Langchain, LangGraph, AutoGen, or Semantic Kernel.
• Define model selection and routing strategies across providers (OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, Azure OpenAI, open-source Llama/Mistral).
• Architect AI tutor agents capable of multi-turn dialogue, Socratic questioning, hint generation, and step-by-step explanation.
• Design autonomous assessment agents for auto-grading, rubric evaluation, plagiarism detection, and feedback generation.
• Build content generation pipelines for lesson plans, quiz banks, summaries, and curriculum mapping using generative AI.
• Define and govern the AI Harness — the full agentic AI stack from input processing to output safety and observability.
• Define multi-agent orchestration patterns for collaborative AI tasks across curriculum design, student support, and institutional reporting.
• Establish tool-use frameworks (MCP Protocol, OpenAI Function Calling) enabling agents to query databases, search content libraries, and trigger LMS workflows.
• Define/Build Knowledge Graphs for EdTech domain mapping learning objectives, concepts, prerequisites, and competencies for structured curriculum reasoning.
• Design learner memory systems tracking long-term progress, mastery levels, and knowledge gaps across sessions.
• Implement LLM evaluation frameworks using RAGAS, DeepEval to measure faithfulness, relevance, and educational accuracy.
• Define distributed tracing with Open Telemetry across the full AI request lifecycle for latency, cost, and quality monitoring.
• Partner with instructional designers and curriculum experts to ensure AI systems align with pedagogical best practices.
• Lead proof-of-concept and pilot programs for emerging AI capabilities (Adaptive learning system).
• Define and maintain the AI architecture roadmap, ensuring alignment with business goals and EdTech product strategy.
• Should have experience working with neo4j, IRT based ML models, AWS AI services, Postgres, Edtech systems, AWS AgentCore, AWS Sagemaker and etc.