Gen AI Architect - Lead End-to-End AI Solutions (Remote)

Simarn Solutions

California (MO)

On-site

USD 88,166 - 118,473

Full time

14 days+

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Job summary

Simarn Solutions is seeking an experienced Gen AI Architect to design, build, and deploy advanced generative AI systems from end to end. You will select foundation models, architect LLM applications, and integrate AI into enterprise platforms while championing responsible AI.

You will lead technical direction, mentor engineers, and collaborate with product, design, and data science teams to drive innovation in AI initiatives. This role offers remote work with strong collaboration across teams.

Qualifications

7+ years in AI/ML with 3+ years in Generative AI.
Deep understanding of transformer architectures and fine-tuning methods.
Hands-on experience with PyTorch, TensorFlow, Hugging Face, LangChain.
Strong knowledge of cloud platforms (AWS/GCP/Azure).
Experience with vector databases (FAISS, Pinecone, Weaviate) and RAG systems.
Familiarity with responsible AI frameworks and privacy-preserving techniques.

Responsibilities

Architect end-to-end generative AI solutions across text, image, audio, and multimodal formats.
Evaluate and select suitable foundation models (GPT, LLaMA, Stable Diffusion, etc.).
Lead custom LLM development including fine-tuning, prompt engineering, RLHF, and optimization.
Collaborate with engineering, product, design, and data science teams for AI integration.
Ensure responsible AI practices covering fairness, privacy, and explainability.
Guide AI infrastructure setup including data pipelines, vector DBs, model serving, and APIs.
Conduct POCs, prototypes, and benchmark evaluations.
Stay current with AI research and recommend emerging tools and methods.
Mentor engineers and contribute to best practices and internal knowledge sharing.