Generative AI Solution Architect

**Please strictly adhere to the following resume naming convention:
ALL CAPS NO SPACES B/T UNDERSCORES
PTNUSGBAMSREQIDCandidateBeelineID
i.e. PTNUS9999999SKIPJOHNSON0413

Bill Rate: $75/hr

MSP Owner: Tory Robinson
Location : Austin TX - Onsite
Duration: 6 months
GBaMS ReqID:

Generative AI Solution Architect

Agentic AI & GenAI

Required Technical Skill Set:

Generative AI & LLMs (RAG embeddings prompt engineering)

Agentic AI & GenAI frameworks (LangChain LlamaIndex LangGraph)

Cloud AI platforms (Azure OpenAI AWS Bedrock)

Cloud architecture (AWS / Azure)

MCP API microservices and enterprise integrations

MLOps / LLMOps security & Responsible AI



Desired Experience Range:

20 years of overall IT experience

3 years of hands on experience in AI / ML / Generative AI solutioning

Prior experience as Solution Architect / Cloud Architect / AI Architect



Desired Competencies (Technical/Behavioral Competency)

Strong understanding of LLMs and GenAI concepts (RAG embeddings vector databases agents)
Hands on experience with GenAI platforms such as:
AWS Bedrock & Azure OpenAI
Open source frameworks (LangChain LlamaIndex CrewAI LangGraph etc.)
Cloud architecture expertise (AWS & Azure )
MCP API microservices and integration architecture experience
Data engineering and data platform knowledge (structured & unstructured data)
Experience designing enterprise scale AI/ML or GenAI solutions
Experience in agentic AI workflow automation or AI copilots
Exposure to MLOps / LLMOps and model lifecycle management
Strong understanding of non functional requirements: security scalability performance cost
Familiarity with Agile delivery models and DevSecOps practices
Strong communication and presentation skills
Ability to engage with senior stakeholders and customers
Leadership and mentoring capabilities

MLOps / LLMOps security & Responsible AI
Role Descriptions: understanding of LLMs and GenAI concepts (RAG embeddings vector databases agents) experience with GenAI platforms such asAWS Bedrock Azure OpenAI Opensource frameworks (LangChain LlamaIndex CrewAI LangGraph etc.) architecture expertise (AWS Azure ) microservices and integration architecture engineering and data platform knowledge (structured unstructured data) designing enterprisescale AIML or GenAI in agentic AI workflow automation or AI to MLOps LLMOps and model lifecycle understanding of nonfunctional requirements security scalability performance with Agile delivery models and DevSecOps communication and presentation to engage with senior stakeholders and and mentoring capabilities
Essential Skills: understanding of LLMs and GenAI concepts (RAG embeddings vector databases agents) experience with GenAI platforms such asAWS Bedrock Azure OpenAI Opensource frameworks (LangChain LlamaIndex CrewAI LangGraph etc.) architecture expertise (AWS Azure ) microservices and integration architecture engineering and data platform knowledge (structured unstructured data) designing enterprisescale AIML or GenAI in agentic AI workflow automation or AI to MLOps LLMOps and model lifecycle understanding of nonfunctional requirements security scalability performance with Agile delivery models and DevSecOps communication and presentation to engage with senior stakeholders and and mentoring capabilities
Desirable Skills:
Keyword:
Skills: Digital : PythonDigital : Machine LearningDigital : DevOpsDigital : MicroservicesGenerative AI
Experience Required: 10 & Above