Generative AI Solution Architect - Agentic AI & GenAI

Job ID : 82175-1
Title: Generative AI Solution Architect - Agentic AI & GenAI
Location : Austin, TX - Onsite
Duration: 6+ months + possible extension
Rate Range: $51 - $56/hour on W2 (All inclusive)
Note: Applicants must be willing to work on W2 only.

Experience Required: 10 & Above

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: 1.Strong understanding of LLMs and GenAI concepts (RAG| embeddings| vector databases| agents)2.Handson experience with GenAI platforms such asAWS Bedrock Azure OpenAI Opensource frameworks (LangChain| LlamaIndex| CrewAI| LangGraph| etc.)3.Cloud architecture expertise (AWS Azure )4.API| microservices| and integration architecture experience5.Data engineering and data platform knowledge (structured unstructured data)6.Experience designing enterprisescale AIML or GenAI solutions7.Experience in agentic AI| workflow automation| or AI copilots8.Exposure to MLOps LLMOps and model lifecycle management9.Strong understanding of nonfunctional requirements security| scalability| performance| cost10.Familiarity with Agile delivery models and DevSecOps practices11.Strong communication and presentation skills12.Ability to engage with senior stakeholders and customers13.Leadership and mentoring capabilities

Skills: Digital : Python~Digital : Machine Learning~Digital : DevOps~Digital : Microservices~Generative AI

Company Benefits & Culture
Inclusive and diverse work environment
Opportunities for professional growth and development
Comprehensive health and wellness benefits