Enterprise Application Architect - GenAI

Enterprise Application Architect - GenAI  - Job Description

15+ years overall experience and at least 1 GenAI enterprise implementation

Design end-to-end solution architectures embedding Generative AI components (LLMs, RAG pipelines, prompt engineering, AI agents) into core enterprise systems.
Establish architecture standards, design principles, and governance frameworks for microservices, APIs, and cloud-native application design.
Model application, data, and integration architectures to ensure performance, scalability, security, and maintainability.
Evaluate and select GenAI platforms, frameworks, and tooling based on architectural fit, technical feasibility, and long-term scalability.
Conduct architecture reviews and technical design assessments to ensure compliance with enterprise design standards.

 Skills:

Python / Node.js / SQL
OpenAI, Azure OpenAI, Anthropic Claude, LangChain, LlamaIndex, vector databases
AWS Bedrock, Azure, GCP, Google Vertex
MCP, MLFlow, LangSmith
TensorFlow, PyTorch, Scikit-learn
Hugging Face Transformers
Microservices frameworks (Spring Boot, .NET Core)
Docker, Kubernetes
Apache Spark, Airflow, Kafka

Compensation, Benefits and Duration

Minimum Compensation:
Maximum Compensation: 
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.