$140,000–$170,000 Per Year
AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Bridge Building, Business Operations, Civil Engineering, Communication Skills, Customer Experience, Legal, NoSQL, Product Development, Product Engineering, Production Systems, SQL (Structured Query Language), Software Engineering, User Interface/Experience (UI/UX)
Piper Companies is seeking a Senior AI Engineer Lead to join a prominent technology organization is to launch and scale a new AI solutions for business operations and customer experiences. The Senior AI Engineering Lead will sit hybrid in Durham, NC.
Responsibilities of the Senior AI Engineering Lead include:
- Partnering with the CTO to stand up the Emerging Intelligence Group and deliver early strategic wins.
- Building and deploying LLM‑powered applications, RAG pipelines, and scalable APIs.
- Integrating AI capabilities across web, mobile, and enterprise systems in collaboration with Product Engineering.
- Establishing AI governance and serving as the technical bridge between data, engineering, and product teams.
Qualifications for the Senior AI Engineering Lead include:
- 8+ years of experience across software engineering and AI product development, with proven delivery of production AI systems.
- Hands‑on experience with LLMs, RAG architectures, vector databases, and frameworks like LangChain or Hugging Face.
- Strong proficiency in AWS (Bedrock, Lambda, S3), full‑stack development, and SQL/NoSQL platforms.
- Skilled communicator with familiarity in MLOps, responsible AI principles, and conversational UX.
Compensation for the Senior AI Engineering Lead includes:
- $140,000 - $170,000 annually.
- Comprehensive benefits package including Medical, Dental, Vision, 401(k), and PTO.
- Paid holidays and sick leave as required by law.
- Hybrid in Durham, NC.
This job opens for applications on 5/26/2026. Applications for this role will be accepted for at least 30 days from the posting date.
Keywords: LLM, Large Language Models, Generative AI, Agentic AI, RAG, Retrieval-Augmented Generation, Vector Databases, Embeddings, Transformers, LangChain, Hugging Face, LlamaIndex, GPT, Claude, Llama, AI Governance, Responsible AI, Conversational AI, AWS, AWS Bedrock, AWS Lambda, S3, Cloud Architecture, Serverless, CI/CD, MLOps, Model Deployment, Full-Stack Development
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