Granite Telecommunications · 2 days ago
Lead AI Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
5+ years expGranite Telecommunications is seeking a highly skilled and experienced Lead AI Engineer to join their dynamic team. The role focuses on developing innovative, scalable AI/ML solutions to address complex business problems and requires hands-on expertise with model fine-tuning and integrating AI systems within enterprise environments.
Business DevelopmentFitnessTelecommunications
Responsibilities
Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral)
Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus)
Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks
Deploy scalable ColBERTv2 architectures for semantic retrieval and classification
Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability
Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers
Implement best practices in model distillation, quantization, and optimization for deployment in production environments
Ensure compliance with enterprise-grade security, privacy standards, and data governance practices
Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback
Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred
5+ years of proven experience developing and deploying production-grade AI/ML systems
Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain
Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization
Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone)
Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms
Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT)
Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models
Preferred
Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field
Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI)
Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD)
Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX
Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance
Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders
Experience in regulated industries or environments requiring strict compliance and data governance standards
Company
Granite Telecommunications
Granite is a leading communications services provider for businesses with multiple locations.
1001-5000 employees
H1B Sponsorship
Granite Telecommunications has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (17)
2023 (11)
2022 (11)
2021 (5)
2020 (8)
Funding
Current Stage
Late StageTotal Funding
$4.85M2016-06-06Grant· $0.6M
2016-03-29Series Unknown· $4.25M
Leadership Team
Brad Dupee
Head of National Channel Sales
Mark Palmer
Director, Strategic Development
Recent News
2025-12-17
2025-12-11
GlobeNewswire
2025-12-10
Company data provided by crunchbase