Technical Architect – AI, ML & Generative AI
Frisco, United States
USD 142K-240K (estimate) Senior-level Full Time
Tasks
- Architect MLOps workflows for deployment and monitoring
- Build cloud native scalable cost optimized AI solutions
- Conduct workshops on advanced AI topics and ethical AI
- Create technical proof of concepts and demos
- Demonstrate secure by design AI development
- Design end-to-end ML pipelines
- Develop agentic AI solutions
- Develop multi model RAG solutions
- Integrate AI workloads into CI CD pipelines
- Lead ML model governance reproducibility and versioning
- Mentor interns and junior data scientists
- Present AI solutions to technical and non-technical audiences
- Produce technical content architecture diagrams and whitepapers
- Research and prototype AI ML and generative AI models
- Write production quality code for data and ML stack
Perks/Benefits
- 401k
- Critical Illness Accident Hospital Indemnity Identity Theft Protection
- Dental plans
- Life and Accidental Death and Dismemberment
- Long-term disability
- Medical plans
- Short-term disability
- Vision plan
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Agentic AI | Apache Spark | Artificial Intelligence | CI/CD | DVC | Fine Tuning | GCP Vertex | GCP Vertex AI | Generative AI | Google Gemini | Hugging Face | Kubeflow | Langchain | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Matplotlib | NumPy | Pandas | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Vertex AI
Education
Roles
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