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
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