Sr AI Architect

1. Role : Sr AI Architect

Location : Raleigh NC

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

Design end-to-end Al/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 Al 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 (OpenAl, Anthropic Claude, Google Gemini, AWS Bedrock, Azure OpenAl, open-source Llama/Mistral)

Architect Al 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 Al

Define and govern the Al Harness -the full agentic Al stack from input processing to output safety and observability

Define multi-agent orchestration patterns for collaborative Al tasks across curriculum design, student support, and institutional reporting

Establish tool-use frameworks (MCP Protocol, OpenAl Function Calling) enabling agents to query databases, search content libraries, and trigger LMS workflows

Define/Bulld 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 Al request lifecycle for latency, cost, and quality monitoring

Partner with instructional designers and curriculum experts to ensure Al systems align with pedagogical best practices

Lead proof-of-concept and pilot programs for emerging Al capabilities (Adaptive learning system)

Define and maintain the Al architecture roadmap, ensuring alignment with business goals and EdTech product strategy

Should have experience working with neo4j, IRT based ML models, AWS Al services, Postgres, Edtech systems, AWS AgentCore, AWS Sagemaker and etc.