Generative AI Architect
Location
In office (Plano)
Seniority
Staff
Employment
Part-Time
Removed from the employer's board on Nov 8, 2026. First seen by Alion on Nov 5, 2026.
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Headway Tek is an IT staffing and recruitment company that builds technical teams for businesses, mainly serving the US market. Founded in 2016, it operates delivery offices in Hyderabad and Visakhapatnam and hires bench sales and US IT recruiters. The company is headquartered in Sunnyvale, California, United States.
Title: Generative AI Architect
Location: Plano,TX
Experience: 8-15 yrs
C2C or W2 or Fulltime
We are looking for an experienced and hands-on Generative AI (GenAI) Architect to design and implement enterprise-scale AI solutions. The ideal candidate will have strong experience with LLMs, Agentic AI, RAG, MLOps/LLMOps, cloud architecture, and enterprise production deployments.
The candidate must have proven experience taking GenAI solutions from prototype/POC to scalable enterprise production environments.
Key Responsibilities
- Architect and implement end-to-end Generative AI and Agentic AI solutions.
- Design enterprise-grade solutions using LLMs, RAG, multi-agent workflows, and vector databases.
- Build scalable AI architectures on Microsoft Azure or Google Cloud Platform (Google Cloud Platform).
- Lead GenAI solutions from POC/prototype through production deployment.
- Integrate GenAI solutions with enterprise applications, APIs, data platforms, and cloud services.
- Establish MLOps/LLMOps practices for deployment, monitoring, and lifecycle management.
- Design solutions considering enterprise security, scalability, governance, reliability, and integration requirements.
Must-Have Skills
- 8 10+ years of experience in Software Engineering, Data Science, Machine Learning, or AI.
- 3+ years of experience as a Solution Architect/System Architect.
- Strong enterprise-level experience architecting and deploying GenAI solutions in large-scale production environments.
- Hands-on experience with Generative AI, LLMs, RAG, and Agentic AI/Multi-Agent architectures.
- Strong programming experience in Python.
- Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
- Strong cloud architecture experience with Microsoft Azure or Google Cloud Platform.
- Hands-on experience with vector databases such as Pinecone, Milvus, Qdrant, or PGVector.
- Strong understanding of MLOps/LLMOps, model deployment, monitoring, and productionization.
- Experience with SQL, PySpark, distributed computing, and API design.
- Experience with PyTorch or TensorFlow.
Preferred Skills
- Experience designing and implementing multi-agent AI ecosystems.
- Strong knowledge of enterprise AI security, governance, scalability, and integration patterns.
- Experience integrating GenAI/LLM solutions with existing enterprise applications and data platforms.
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