Gen AI Architect, on-site

Role: Gen AI Architect, on-site in Edison, New Jersey - Full-time

Job description: 398037/-HE

Experience Required: 15- 25 + Years
Must Have Technical/Functional Skills

Mandatory Skills:

1. GenAI Application Development Expertise

• Programming Languages: Python
• Development Tools: LangChain, LlamaIndex, LangFlow, Langgraph, LangSmith, Flowise
• Techniques: RAG Techniques
• Databases: Vector Databases (Pinecone, Weaviate, Qdrant)
• Additional Technologies: Knowledge Graphs, FastAPI, Streamlit, Gradio

2. Domain Model Fine-Tuning Capabilities

• Languages & Libraries: Python, Data Engineering, OSS LLMs (Llama2, Mixtral, GPT-Neo, GPT-J)
• Tokenization & Frameworks: Tokenizers (SentencePiece, Hugging Face Tokenizers), Fine-tuning Frameworks (Hugging Face Transformers, PyTorch Lightning)
• Datasets: HuggingFace Datasets, TensorFlow Datasets

3. LLMOps Proficiency

• Infrastructure & CI/CD: DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions
• Monitoring & Management: Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana

4. Data Engineering for AI Applications

• Data Processing & Management: Python, Apache Spark, Apache Kafka, AWS S3, Azure Data Lake Storage (ADLS), Delta Lake
• Workflow Automation: Apache Airflow, dbt, Apache NiFi, Fivetran, Airbyte, Great Expectations
• Data Catalogs: Amundsen, Collibra, Alation

5. AI-Ready Cybersecurity Knowledge

• Threat Modeling & Security: AI-Specific Threat Modeling Tools, Secure ML Pipeline Tools, API Security Tools
• Monitoring & Prevention: AI Security Monitoring Tools, Prompt Injection Prevention Libraries, Adversarial Example Detection Libraries

6. GenAI Guardrails and Ethics

• Ethics & Fairness: AI Ethics Frameworks and Tools, Bias Detection and Mitigation Tools, Fairness Metrics Libraries
• Privacy & Security: Privacy-Preserving Machine Learning Libraries, Robustness and Security Tools

Transparency & Governance: Model Interpretability Libraries, AI Governance Frameworks and Tools

Roles & Responsibilities

Candidate will be working in AI Engineering group which is collectively responsible for product developments and AI infused automations.

Candidates need to lead the solution design discussion and arrive at best-in-class architecture by assessing all the pros

and cons across multiple technologies. Build design documentation and implementation.