Agentic AI / Machine Learning Consultant

Vertical Relevance, Inc.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Vertical Relevance is seeking an Agentic AI/ Machine Learning Consultant to join our team in the NY Metro Area. You will design, develop, and deploy advanced ML/AI solutions for clients, leveraging cloud services and cutting-edge technologies while collaborating with cross-functional teams.

The role emphasizes end-to-end delivery, strong communication, and mentorship, with a focus on RAG systems, vector databases, and knowledge graphs to solve complex business challenges.

Qualifications

• 10+ years 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.
• Expert in Python and R.
• Experience with LLM platforms such as OpenAI, Anthropic, or Gemini.
• Strong communication and client-facing skills working with clients.
• LinkedIn Profile with picture.
• ID might be requested for technical interviews and tests.

Responsibilities

• Experience delivering 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.

Skills

Python

R

LLM platforms

RAG systems

Vector databases

Knowledge graphs

Retrieval/Ranking

Cloud (AWS/GCP/Azure)

Client-facing

Mentoring

Tools

AWS

GCP

Azure

SageMaker

Bedrock

OpenSearch

LangGraph

MCP

OpenAI API

Anthropic API

Gemini API

Self-hosted embeddings

Job description

Vertical Relevance is seeking an Agentic AI/ Machine Learning Consultant to join our team. In this role, you will be responsible for the end-to-end design, development, and deployment of advanced ML/AI solutions. You’ll work closely with clients to deliver impactful outcomes, leveraging Cloud services and cutting‑edge technologies in the NY Metro Area.

As an Agentic AI/Machine Learning Consultant, you will collaborate with cross‑functional teams to implement technical solutions that solve complex business challenges. This position requires strong technical expertise, excellent communication skills, and a passion for driving customer success. At Vertical Relevance, we believe in teamwork, automation, continuous learning, and ownership. If you’re ready to innovate and make a measurable impact, we’d love to hear from you!

Key Responsibilities

• Experience delivering 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.

Required Qualifications

• 10+ years 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.
• Expert in Python and R.
• Experience with LLM platforms such as OpenAI, Anthropic, or Gemini.
• Strong communication and client‑facing skills working with clients.
• LinkedIn Profile with picture.
• ID might be requested for technical interviews and tests.

Preferred Qualifications

• Experience with Amazon Neptune or other graph databases (required).
• Familiarity with information retrieval metrics.
• Experience with self‑hosted embeddings.
• Healthcare domain knowledge (payer/claims).
• Experience with agentic AI frameworks such as LangGraph or MCP.

About Vertical Relevance

Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right‑sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation.

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.