Generative AI Architect
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Job Location:
Charlotte, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
10 days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Generative AI Architect
Location: Charlotte NC (Onsite from Day 1)
Job Type: Contract
Location: Charlotte NC (Onsite from Day 1)
Job Type: Contract
Skill Metrics:
| Claude |
| Microsoft GitHub Copilot |
| PyTorch |
| |
What are the top skills required for this role
1. Hands on experience of driving gen AI solution using Copilot Claude Code etc in the STLC
2. Participate in design and implementation of solutions fine-tuning pipelines and prompt engineering frameworks
3. Participate in cross-functional GenAI initiatives and PoCs across entire software lifecycle
1. Hands on experience of driving gen AI solution using Copilot Claude Code etc in the STLC
2. Participate in design and implementation of solutions fine-tuning pipelines and prompt engineering frameworks
3. Participate in cross-functional GenAI initiatives and PoCs across entire software lifecycle
Job Description/ Responsibilities:
- Seeking a visionary and experienced Senior Generative AI Architect to lead the design development and implementation of generative AI solutions across software test lifecycle.
- The selected candidate will define the strategic roadmap for GenAI evaluate and select appropriate architectures and ensure the scalability security and performance of deployed models.
- This is a highly collaborative role that bridges client needs R&D innovation and enterprise-grade AI engineering.
Key Responsibilities:
GenAI solution in STLC
o Build/Test Solution to create test automation code for UI/API through GenAI assisted coding
o Build/Test solution for test data mining using Generative AI
Architecture & Design
o Participate in design and implementation of solutions fine-tuning pipelines and prompt engineering frameworks
o Participate in cross-functional GenAI initiatives and PoCs across entire software lifecycle
Strategy & Roadmap
o Define GenAI adoption roadmap in alignment with client goals
o Evaluate build-vs-buy decisions and advise on vendor/platform selections
o Advocate for responsible AI practices and model governance frameworks
Collaboration & Leadership
o Collaborate with data scientists ML engineers product managers and key stakeholders
o Mentor teams in GenAI best practices including model optimization deployment and safety measures
Innovation & Experimentation
o Stay ahead of the curve on advancements in transformer architectures LLM training and multimodal AI.
o Prototype custom models using frameworks like LangChain PyTorch etc.
