Agentic AI/ML Solutions Architect

Vertical Relevance; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Vertical Relevance is seeking an Agentic AI/Machine Learning Consultant to lead end-to-end ML/AI design, development, and deployment for clients in the NY Metro area. You will collaborate with cross-functional teams to implement technical solutions and ensure client success, with a focus on cloud-native architectures and secure data handling.

You will design AI/ML pipelines, build knowledge graphs, and optimize retrieval systems using AWS/GCP services, SageMaker, Bedrock, and OpenSearch, while

Qualifications

• Experience building and deploying ML/AI solutions in AWS, GCP, or Azure.
• Strong expertise in RAG systems and retrieval optimization.
• Experience with vector databases and hybrid search techniques.
• Knowledge of knowledge graphs and entity resolution.
• Proficiency in Python (R is a plus).
• Experience with LLM platforms such as OpenAI, Anthropic, or Gemini.
• Strong communication and client-facing skills.

Responsibilities

• Deliver end-to-end ML/AI solutions from problem framing through deployment and monitoring.
• Design scalable AI/ML architectures using AWS and GCP services.
• Optimize RAG pipelines including chunking, embeddings, hybrid search, and re-ranking.
• Develop retrieval evaluation frameworks (Recall@K, Precision@K, MRR, nDCG).
• Design and implement knowledge graphs and ontologies.
• Build data ingestion pipelines for structured and unstructured data.
• Deploy solutions using AWS tools such as SageMaker, Bedrock, Lambda, and OpenSearch.
• Implement self-hosted embedding models in secure environments.
• Ensure compliance with PHI/PII data security requirements.
• Collaborate with cross-functional teams and act as a technical advisor.
• Mentor team members and contribute to technical thought leadership.

Skills

Cloud platforms (AWS/GCP/Azure)

RAG systems & retrieval optimization

Vector databases & hybrid search

Knowledge graphs & entity resolution

Python

LLM platforms (OpenAI, Anthropic, or/`

Tools

SageMaker

Bedrock

OpenSearch

Lambda

Amazon Neptune

Job description

Vertical Relevance is seeking an Agentic AI/Machine Learning Consultant to lead end-to-end ML/AI design, development, and deployment for clients in the NY Metro area. You will collaborate with cross-functional teams to implement technical solutions and ensure client success, with a focus on cloud-native architectures and secure data handling.

You will design AI/ML pipelines, build knowledge graphs, and optimize retrieval systems using AWS/GCP services, SageMaker, Bedrock, and OpenSearch, while