Hiring: Gen AI Architect at Charlotte, NC

Realtech Services

Charlotte, NC, United States

26 days ago

Apply on www.careerjet.com

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$85,000.0 - $95,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Business Software Software as a Service Cloud Computing Databases Continuous Integration Information Leak Prevention Python (Programming Language) Machine Learning

+18 more

Tensorflow Software Construction Software Deployment Software Engineering Google Cloud Pytorch Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Prompt Engineering Generative AI Scikit Learn Information Technology HuggingFace Machine Learning Operations Virtual Agents Software Version Control Microservices

Job description

Define the architecture and technical strategy for Generative AI, Agentic AI, LLM, and ML solutions.
Design and implement single-agent and multi-agent systems for enterprise use cases.
Develop AI agents capable of reasoning, planning, task execution, tool calling, and workflow orchestration.
Design and implement Retrieval-Augmented Generation solutions using structured and unstructured enterprise data.
Integrate AI agents with APIs, databases, microservices, SaaS platforms, and business applications.
Lead the selection, evaluation, fine-tuning, deployment, and optimization of LLMs and ML models.
Establish MLOps and LLMOps practices covering CI/CD, model versioning, monitoring, testing, and governance.
Implement AI guardrails to address hallucinations, prompt injection, data leakage, unauthorized actions, and unsafe outputs.
Define evaluation and observability frameworks to measure model quality, agent performance, accuracy, latency, cost, and reliability.
Lead architecture reviews, proof-of-concepts, production deployments, technical documentation, and mentoring of AI and ML engineering teams.

Requirements

Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
8+ years of experience in Machine Learning Engineering, AI Engineering, Software Engineering, or Technology Architecture.
3+ years of hands-on experience designing and implementing Generative AI and LLM-based solutions.
Proven experience designing and delivering Agentic AI, autonomous agents, or multi-agent systems.
Strong background in developing, deploying, serving, and monitoring machine learning and deep learning models.
Advanced programming experience in Python and familiarity with software engineering best practices.
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face.
Strong knowledge of LLMs, RAG, prompt engineering, context engineering, embeddings, vector databases, and tool/function calling.
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud, along with APIs, microservices, containers, and CI/CD.
Knowledge of MLOps, LLMOps, AI security, responsible AI, model governance, data privacy, and production AI system monitoring.