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

Cloudspace LLC
Richardson, TX, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$86,800.0 - $165,200.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Applications Architecture Microsoft Azure Cloud Engineering Language Modeling Cloud Services Cloud Platform System Large Language Models Prompt Engineering Generative AI Data Management
+1 more
Restful APIs

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

Requirements

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)

  4. Design and implement GenAI solution architectures using enterprise approved LLMs and cloud platforms
  5. 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)

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