Other Service Line - Program Manager - PRGMGR

Ampcus Inc; Durham (NC); On-site; USD 150,000 - 210,000; Full time

Job summary

Bravens Inc. in Durham, NC, is seeking a Program Manager for AI Solutions / Agentic AI (EdTech) to design end-to-end AI/ML architectures and oversee complex AI projects.

Lead Retrieval-Augmented Generation pipelines, multi-modal AI systems, and LLM orchestration; collaborate with curriculum experts and engineers to deliver scalable AI education solutions.

Qualifications

• 15–20 years of experience in AI/ML system design and leadership roles.
• Deep expertise in architecting end-to-end AI/ML pipelines and integrations.
• Proven ability to lead cross-functional teams in EdTech or similar domains.

Responsibilities

• Design end-to-end AI/ML system architectures including data pipelines and inference infrastructure.
• Architect Retrieval-Augmented Generation pipelines from curriculum content and learning repositories.
• Lead multi-modal AI systems processing text, audio, video, and assessments with hands-on platform experience.
• Define LLM orchestration layers and model selection strategies across providers.

Skills

AI Solution Architect

Agentic AI

AI/ML

Tools

Claude Code

Cursor

Blitzy Platforms

Job description

Bravens Inc., a wholly owned subsidiary of Ampcus Inc., is an information technology consulting and services company. Bravens is a leader in providing tailored staffing solutions across both IT and non-IT industries. We are in search of a highly motivated candidate to join our talented team and contribute to our ongoing success.

Job Title: Program Manager - AI Solutions / Agentic AI (EdTech)

Location(s): Durham, NC.

Mandatory skills:

• AI Solution Architect
• Agentic AI
• AI/ML

Detailed Job Description:

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.

Years of experience required: 15-20 Years.

Years of Experience: 25 Years.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.