Gen AI Lead/Architect

InfoDyne Solutions, LLC; Charlotte (NC); Híbrido; USD 140.000 - 210.000; Jornada completa

Descripción de la vacante

InfoDyne Solutions, LLC is seeking a Gen AI Architect in Charlotte, NC. The role is hybrid with three days in the office weekly, focusing on designing and delivering large language model based solutions.

The ideal candidate has 8+ years in software/data architecture and 3+ years building generative AI systems, with deep knowledge of LLMs, prompts, RAG, vector stores, AI agents, and MLOps. Proficiency in Python and cloud platforms is required.

Formación

• Bachelor’s or master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
• 8+ years of experience in software architecture, data architecture, machine learning, cloud engineering, or related technology roles.
• 3+ years of hands-on experience designing and implementing generative AI or large language model solutions.
• Strong understanding of LLMs and foundation models, prompt engineering, retrieval augmented generation, vector databases, AI agents and tool calling, model fine-tuning and evaluation, MLOps/LLMOps.

Responsabilidades

• Lead architecture discussions and deliver enterprise AI solutions.
• Collaborate with stakeholders to design scalable Gen AI architectures.
• Evaluate and integrate AI platforms and services (cloud, APIs) across products.

Descripción del empleo

Role: Gen AI Architect

Location: Charlotte, NC (Hybrid – 3 days office in a week)

Required Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
• 8+ years of experience in software architecture, data architecture, machine learning, cloud engineering, or related technology roles.
• 3+ years of hands‑on experience designing and implementing generative AI or large language model solutions.
• Strong understanding of:
• LLMs and foundation models
• Prompt engineering
• Retrieval‑augmented generation
• Vector databases and semantic search
• AI agents and tool calling
• Model fine‑tuning and evaluation
• MLOps and LLMOps
• Machine learning and data pipelines

Experience with one or more cloud platforms: AWS, Microsoft Azure, or Google Cloud.

Strong programming experience in Python and familiarity with APIs, microservices, and distributed systems.

Experience with frameworks and technologies such as LangChain, LlamaIndex, Semantic Kernel, OpenAI APIs, Azure OpenAI, Amazon Bedrock, Vertex AI, or equivalent platforms.

Experience working with relational databases, NoSQL databases, data lakes, and vector stores.

Knowledge of AI security, data privacy, identity and access management, and enterprise governance.

Proven experience leading architecture discussions and delivering solutions in complex enterprise environments.

Strong analytical, problem‑solving, communication, and stakeholder‑management skills.