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IT - Technology Architect | Cloud Platform | Cloud Platform - ALL

Cloudspace LLC

Richardson, TX

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JOB DETAILS
SKILLS
Application Programming Interface (API), Artificial Intelligence (AI), Cloud Architecture, Cloud Computing, Communication Skills, Kernel Programming, Microsoft Windows Azure, Performance Tuning/Optimization, Quality Assurance, REST (Representational State Transfer), Reliability Analysis, Use Cases
LOCATION
Richardson, TX
POSTED
3 days ago
Job Title* Technology Architect | Cloud Platform | Cloud Platform - ALL
Work Location RichardsonTX75081
Vendor Rate* $82.70/hr
Contract duration (in months)* 6

Job Details:
Must Have Skills (Top 3 technical skills only) *
1. 4 to 7 years of experience in software, data, or cloud architecture roles
2. Hands on experience with Generative AI LLM based solutions
3. Familiarity with tools such as Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, or similar frameworks Working knowledge of REST APIs, cloud services, and modern application architectures

Nice to have skills (Top 2 only)
1. Design and implement GenAI solution architectures using enterprise approved LLMs and cloud platforms
2. Support use cases such as document processing, summarization, Q&A, copilots, and workflow
augmentation Define reference architectures for GenAI components (LLMs, vector stores, APIs,
orchestration layers)

Detailed Job Description:
4 to 7 years of experience in software, data, or cloud architecture roles Hands on experience with Generative AI LLM based solutionsFamiliarity with tools such as Azure OpenAI, OpenAI APIs, Lang Chain, Semantic Kernel, or similar frameworks Working knowledge of REST APIs, cloud services, and modern application architectures Experience collaborating with engineering and product teams Strong communication skills with the ability to explain AI concepts to nontechnical stakeholders

Minimum years of experience*:
>10 years

Certifications Needed: No

Top 3 responsibilities you would expect the Subcon to shoulder and execute*:
1. Design and implement GenAI solution architectures using enterprise approved LLMs and cloud platforms Support use cases such as document processing, summarization, QA, copilots, and workflow augmentation
2. Define reference architectures for GenAI components LLMs, vector stores, APIs, orchestration layers Collaborate with engineers to integrate GenAI services into existing applications and data platforms
3. Assist with prompt engineering, evaluation, and optimization for reliability and performance Ens

Interview Process (Is face to face required?)
Yes, Project Code :ADM master proj code for Msow

About the Company

C

Cloudspace LLC