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About the Role

Vertical Relevance is seeking an Agentic AI/ Machine Learning Consultant to design, develop, and deploy advanced ML/AI solutions, leveraging Cloud services and cutting-edge technologies for clients in the NY Metro Area. This role involves collaborating with cross-functional teams to solve complex business challenges, requiring strong technical expertise, excellent communication skills, and a passion for customer success.

Responsibilities

Deliver end-to-end ML/AI solutions from problem framing through deployment and monitoring from a consultant perspective.
Design scalable AI/ML architectures using AWS, Azure, 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.

Requirements

10+ years of 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 graph design and entity resolution.
Expertise in Python and R.
Experience with LLM platforms such as OpenAI, Anthropic, or Gemini.
Strong communication and client-facing skills.
LinkedIn Profile with Picture.
ID may be requested for technical interviews and tests.

Skills

Agentic AI
Machine Learning
AI
Cloud Services
AWS
Azure
GCP
RAG optimization
Chunking
Embeddings
Hybrid Search
Re-ranking
Retrieval evaluation
Knowledge graphs
Ontologies
Data ingestion pipelines
SageMaker
Bedrock
Lambda
OpenSearch
Self-hosted embedding models
PHI/PII data security
Python
R
LLM platforms
OpenAI
Anthropic
Gemini
Vector databases
Entity resolution
Amazon Neptune
Graph databases
Information retrieval metrics
Self-hosted embeddings
Healthcare domain knowledge
Agentic AI frameworks
LangGraph
MCP

Location

NY Metro Area

Work Type

Full-time

Experience Level

10+ years

About the Company

Vertical Relevance helps business leaders drive value through transformation programs across people, processes, and systems.
The company's mission is to assist firms in developing custom solutions for success and growth.
They offer a full range of services from strategy and design through to implementation and training.
Their professionals have an average of 20+ years’ experience within Financial Services, including Wealth Management, Asset Management, Insurance, and Banking.
Their Customer Experience practice incorporates complementary industry expertise from technology and media.
They focus on rigorously assessing business and technology challenges to provide right-sized solutions with a meaningful ROI.
Vertical Relevance leverages product partnerships in CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation.

Equal Opportunity

Vertical Relevance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.