AI Architect (GenAI / MLOps)

Design and lead enterprise AI/ML and Generative AI solutions from architecture through production deployment, ensuring scalability, security, compliance, and governance. Advise business leaders and mentor engineering teams on AI strategy and implementation., * Design end-to-end AI/GenAI architectures, including RAG, AI agents, fine-tuning, and model serving.

• Evaluate LLMs, vector databases, orchestration frameworks, and MLOps tools.
• Define reusable AI architecture standards and reference designs.
• Collaborate on data pipelines, feature stores, and data quality.
• Implement responsible AI, model governance, security, explainability, and compliance.
• Establish MLOps/LLMOps practices for CI/CD, monitoring, model evaluation, drift detection, and cost optimization.
• Lead AI proofs of concept and production deployments.
• Advise executives on AI strategy, feasibility, and technical trade-offs.
• Mentor engineers and data scientists and lead architecture reviews.

• 10+ years in software/data engineering, including 4+ years architecting production AI/ML solutions.
• Hands-on expertise in LLMs, GenAI, prompt engineering, RAG, embeddings, and agent frameworks (LangChain/LlamaIndex).
• Strong Python skills and experience with PyTorch, TensorFlow, or scikit-learn.
• Experience with AWS, Azure, or Google Cloud Platform AI services (SageMaker, Bedrock, Azure OpenAI, or Vertex AI).
• MLOps experience with MLflow, Kubeflow, Docker, Kubernetes, and CI/CD.
• Strong understanding of data architecture, data lakes/warehouses, streaming, APIs, and microservices.
• Knowledge of AI security, privacy, governance, and regulatory compliance.
• Excellent communication and stakeholder management skills., * Banking, insurance, or wealth management experience; familiarity with SR 11-7 model risk guidelines.
• Experience with Pinecone, pgvector, OpenSearch, fine-tuning, and model evaluation.
• Cloud/architecture certifications such as AWS ML Specialty, Azure AI Engineer, or TOGAF.
• Master’s or PhD in Computer Science, Data Science, or a related field.