GenAI Architect

Mount Laurel, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Role: GenAI Architect

Location: Mount Laurel NJ

Experience: 15 Years

Fulltime only

Job Description:

Develop; fine tune; and optimize LLMs; multimodal models; and generative AI pipelines for various business use cases.

Build scalable AI/ML systems; including data pipelines; model training workflows; and inference services.

Evaluate and integrate open source and commercial LLMs (e.g.; GPT; Llama; Claude; Mistral).

Implement RAG (Retrieval-Augmented Generation); vector databases; embeddings; and prompt engineering strategies.

Collaborate with product; engineering; and domain teams to translate business problems into AI powered solutions.

Conduct experiments; benchmarking; and A/B testing to validate model performance.

Deploy models using cloud platforms (Azure) and MLOps tools.

Monitor; troubleshoot; and continuously improve AI systems in production.

Strong programming skills in Python and experience with ML frameworks

Hands on experience with LLMs; transformers; and generative AI architectures.

Experience with prompt engineering; fine tuning; and model evaluation.

Familiarity with MLOps tools (MLflow; Kubeflow; Docker; Kubernetes).

Experience with agentic workflows; LangChain; LlamaIndex; or similar frameworks.

Knowledge of multimodal AI (vision language models).

Hands-on data experience on Cloud Technologies on Azure; ADF; Synapse; Pyspark/Python

Ability to understand Design; Source to target mapping (STTM) and create specifications documents

Flexibility to operate from client office locations

Able to mentor and guide junior resources; as needed Nice to Have

Any relevant certifications

Banking experience on RISK & Regulatory OR Commercial OR Credit Cards/Retail

Role: GenAI Architect Location: Mount Laurel NJ Experience: 15 Years Fulltime only Job Description: Develop; fine tune; and optimize LLMs; multimodal models; and generative AI pipelines for various business use cases. Build scalable AI/ML systems; including data pipelines; model traini...