AI/ML Engineer

Cloud Analytics Technologies, LLC; Chicago (IL); On-site; USD 83,000 - 103,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Chicago, IL seeks an AI/ML Engineer to design, build, and deploy AI-powered solutions on the ServiceNow platform. The role blends Generative AI, LLMs, and ServiceNow workflows to deliver intelligent enterprise capabilities.

You will implement scalable ServiceNow apps, develop AI workflows, and build RAG pipelines with Knowledge Graphs to surface real-time insights for GTM teams and improve deal velocity.

Qualifications

• Gen AI Engineer with strong ServiceNow expertise.
• Experience designing AI-powered workflows and RAG pipelines.
• Ability to surface contextual insights for GTM teams.

Responsibilities

• ServiceNow Engineering: Develop scalable applications and workflows.
• AI System Design: Build AI-powered systems using LLMs and semantic retrieval.
• RAG + KG Solutions: Maintain pipelines enriched with Knowledge Graphs.
• Agentic Workflows: Implement AI agents for task planning and execution.
• Cross-functional Collaboration: Work with Product and Operations.

Skills

ServiceNow

Generative AI

LLMs

RAG

Knowledge Graphs

Agentic AI

AI Workflows

GT M use cases

Tools

AIA Studio

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI/ML Engineer
Location: Chicago,IL
Duration: 12 Months + Extension
Bill Rate: $67/hour
Job Type:W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

We are looking for a Gen AI Engineer with strong ServiceNow expertise to design, build, and deploy AI-powered solutions that enhance automation, decision-making, and user experience across the ServiceNow platform. The ideal candidate will blend Generative AI, LLMs, and ServiceNow workflows to deliver intelligent enterprise solutions.

Key Responsibilities

ServiceNow Engineering:

• Develop scalable and maintainable applications and workflows within the ServiceNow platform.
• Align solutions with GTM use cases such as sales enablement, lead management, and partner operations.
• Leverage AIA Studio to orchestrate AI workflows.
• Integrate machine learning models and streamline decision-making in GTM processes.

AI System Design:

• Design AI-powered systems that use LLMs, Agentic AI, and semantic retrieval.
• Deliver contextual insights and automation.

RAG + KG Solutions:

• Build and maintain RAG pipelines enriched with Knowledge Graphs.
• Surface relevant, real-time data to sales teams to help close deals.

Agentic Workflows:

• Implement AI agents capable of task planning and execution.
• Support use cases such as lead routing, customer scoring, and higher deal velocity.

Cross-functional Collaboration:

• Work closely with Product and Business Operations to identify opportunities.
• Design solutions and deliver measurable impact.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Some of our Business Ventures - Knowledge Analytics

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