GenAI Architect

Responsibilities

• Programming:
  Python (primary), familiarity with Type Script/Node.js for service integration
• LLM/API platforms:
  OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, Google Vertex AI, Hugging Face
• Fine-tuning techniques:
  LoRA, QLoRA, PEFT, RLHF fundamentals
• MLOps/LLMOps tooling: MLflow, Weights & Biases, evaluation/observability frameworks (e.g., Lang Smith, Arize)
• Data engineering: ETL pipelines, embeddings generation, knowledge graph integration
• API design and microservices architecture for AI-powered applications
• Define enterprise Gen AI strategy, reference architecture, and technology standards
• Evaluate, select, and benchmark LLM providers and foundation models for specific use cases
• Architect RAG pipelines, agentic workflows, and multi-agent orchestration systems
• Establish responsible AI practices: guardrails, content filtering, bias and hallucination mitigation
• Lead Gen AI solutions from proof-of-concept through production-grade deployment
• Partner with data science, engineering, and business teams to prioritize and scope use cases
• Monitor model performance, cost, latency, and drift in production environments
• Mentor engineering teams on Gen AI best practices and emerging techniques
• Stay current with the rapidly evolving Gen AI landscape and advise leadership on adoption roadmap

BACHELOR OF COMPUTER SCIENCE

$190,000- $220,000 a year

• Discretionary Annual Incentive
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support:
  Maternal & Parental Leaves
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Ewing, NJ

TECHNOLOGY

Technical Architect