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Artificial Intelligence Engineering

New York Technology Partners

Hybrid in Chicago, Illinois • 12d ago

Easy Apply

Full-time

Depends on Experience

AI Engineering Intern

Crowe LLP

Chicago, Illinois • 7d ago

Full-time

USD 27.00 - 42.00 per hour

AI Engineering Intern

Crowe LLP

Chicago, Illinois • Today

Full-time

USD 27.00 - 42.00 per hour

Team Lead, AI Engineering

DRW

Chicago, Illinois • Today

Full-time

USD 200,000.00 - 250,000.00 per year

Team Lead, AI Engineering

DRW

Chicago, Illinois • 22d ago

Full-time

USD 200,000.00 - 250,000.00 per year

Platform Engineer - AI Engineering

DRW

Chicago, Illinois • Today

Full-time

USD 130,000.00 - 190,000.00 per year

Senior Manager, AI Engineering

Kraft Heinz

Chicago, Illinois • Today

Full-time

USD 120,800.00 - 151,000.00 per year

Artificial Intelligence (AI) Engineering Intern

Shure Incorporated

Niles, Illinois • Today

Full-time

USD 23.00 - 43.00 per hour

AI Engineering Manager, GenAI Platforms

ZS Associates

Chicago, Illinois • Today

Full-time

USD 197,000.00 - 216,000.00 per year

Technology Internship Program (AI Engineering)

CNA

Chicago, Illinois • Today

Full-time

USD 35,000.00 - 65,000.00 per year

AI Engineering Lead and Architect Intelligence Layer

Alvarez & Marsal

Chicago, Illinois • 9d ago

Full-time

USD 220,000.00 - 250,000.00 per year

AI Engineering Manager (AI Capability Center) - 4 Openings Available

Huron

Remote or Chicago, Illinois • Today

Full-time

USD 140,000.00 - 170,000.00 per year

Advisory National - Commercial Tech & Innovation - AI Engineering Intern - Winter 2027

PricewaterhouseCoopers LLP

Rosemont, Illinois • Today

Full-time

USD 29.25 - 48.00 per hour

Lead AI Engineering

Robustware

Remote • 3d ago

Easy Apply

Full-time, Third Party

Depends on Experience

AI Forward Deployed Engineering Manager | Sales ReInvention

Accenture LLP

Chicago, Illinois • Today

Full-time

USD 94,400.00 per year

AI Forward Deployed Engineering Senior Manager | Sales ReInvention

Accenture LLP

Chicago, Illinois • Today

Full-time

USD 132,500.00 per year

AI Engineering & Platform Leadership Senior Manager - Utilities

Accenture LLP

Chicago, Illinois • Today

Full-time

USD 132,500.00 per year

Manager, AI Platform Engineering

Ripple

Chicago, Illinois • Today

Full-time

Director AI Platform Engineering

Bank of Montreal

Chicago, Illinois • Today

Full-time

USD 150,700.00 - 261,800.00 per year

Software Engineer - AI Powered Engineering

IMC

Chicago, Illinois • 12d ago

Full-time

USD 180,000.00 - 225,000.00 per year

2027 Software Engineering (AI Concentration) Consulting Intern

West Monroe

Chicago, Illinois • Today

Full-time

USD 40.00 per hour

Sr. Manager, AI Engineering

Deckers Brands

Remote or California • Today

Full-time

USD 137,500.00 - 185,600.00 per year

Senior Director, AI Engineering

EBH Enterprises dba DataMinr

Remote or New York, New York • Today

Full-time

USD 229,600.00 - 337,000.00 per year

Director of AI Engineering

Motion Recruitment Partners, LLC

Remote or Pasadena, California • Today

Easy Apply

Full-time

Senior AI Engineering Enablement Lead

ServiceNow, Inc.

Remote or Santa Clara, California • Today

Full-time

USD 113,700.00 - 199,000.00 per year

Principal AI Engineering Architect

Robots and Pencils

Remote • Today

Full-time

USD 180,375.00 - 230,625.00 per year

Sr Software Development Engineer - AI Engineering

CVS Health

Remote or Texas • Today

Full-time

USD 92,700.00 - 185,400.00 per year

Software Engineer (AI Engineering) - Only W2

Info Dinamica Inc

Remote or Arkansas • Today

Easy Apply

Contract

AI Engineering Manager / REMOTE / Work Life Balance

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Contract

$70 - $90

Director, Technology Delivery and AI Engineering - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 134,600.00 - 230,800.00 per year

Job Details

Skills

Data Science
Data Engineering
Data Warehouse
Python
SQL
Large Language Models (LLMs)
Artificial Intelligence
JIRA
ServiceNow
Amazon Web Services
Docker
Continuous Integration
Continuous Delivery
containerization

Summary

We are launching a high-visibility, greenfield initiative designed to transform how our organization leverages internal corporate data. We are seeking a pragmatic, collaborative technologist to lead the effort in making our internal systems data (e.g., ServiceNow, JIRA, and other enterprise platforms) highly consumable and actionable for Large Language Models (LLMs) and agentic AI systems.

This role is ideal for a professional with a strong foundation in Data Engineering, Data Science, or Data Analytics who has practical experience bridging the gap between robust data pipelines and applied AI. You will not be expected to be an AI research scientist; rather, you will be the crucial link that ensures our data is structured, reliable, and ready for modern AI tools (such as Anthropic s Claude).

Primary Duties and Responsibilities

End-to-End Delivery: Own the design, development, and deployment of data pipelines and infrastructure that feed internal corporate data into LLM-powered applications and agentic workflows.
Data Architecture: Architect and implement data warehousing, data modeling, and pipeline solutions to ensure high-quality, reliable data consumption by AI models.
Applied AI Integration: Collaborate on the integration of AI models into internal business processes, ensuring practical, scalable, and secure implementations.
Mentorship & Leadership: Actively mentor and elevate a team of early-career engineers (including entry level candidates), providing guidance on code quality, architecture, and professional development without formal supervisory authority.
Risk & Governance: Implement practical technical safeguards against AI-specific risks, including output validation, data privacy, and hallucination mitigation, in alignment with corporate governance standards.
Cross-Functional Collaboration: Partner closely with stakeholders across the organization in this greenfield environment, requiring exceptional communication skills and a highly collaborative mindset.

Qualifications and Technical Skills

Experience: 4 to 6 years of professional experience in Data Engineering, Data Science, Data Analytics, or a closely related technical field.
Core Technical Stack: Strong, demonstrable proficiency in Python and SQL.
Data Engineering Fundamentals: Solid experience building and maintaining data pipelines, data modeling, and data warehousing solutions.
Applied AI Experience: Hands-on experience building, integrating, or working with LLM-powered applications or agentic systems. Direct experience with Anthropic s Claude is highly preferred, but practical experience with any major AI/LLM tool is acceptable.
Infrastructure: Working knowledge of cloud infrastructure (AWS preferred), along with comfort in Docker, CI/CD, and containerization fundamentals.
Leadership: Proven track record of mentoring junior engineers and fostering a collaborative team environment.
Education: Bachelor s degree in Computer Science, Engineering, Data Science, or a related technical field (Master s degree is a plus).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10119106
Position Id: 9091279
Posted 12 days ago

Fitment

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Contact the job poster

Jay Doshit

US IT Recruiter @ New York Technology Partners

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Sr. Data Engineer (Remote)

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Senior Data Engineer

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We're looking for a Senior Data Engineer to design, build, and operate the data pipelines and platforms that power analytics, AI, and product work. This role is ideal for an engineer with several years of experience who can confidently own pipelines end-to-end and bring strong technical judgment to the problems they take on. In this role, you will work as a key contributor on a cross-functional team, designing scalable pipelines, building and managing data warehouses and data lakes, and integrat

Full-time

USD 119,514.00 - 164,899.00 per year

Job Details

Skills

Data Science
Data Engineering
Data Warehouse
Python
SQL
Large Language Models (LLMs)
Artificial Intelligence
JIRA
ServiceNow
Amazon Web Services
Docker
Continuous Integration
Continuous Delivery
containerization

Summary

Primary Duties and Responsibilities

End-to-End Delivery: Own the design, development, and deployment of data pipelines and infrastructure that feed internal corporate data into LLM-powered applications and agentic workflows.
Data Architecture: Architect and implement data warehousing, data modeling, and pipeline solutions to ensure high-quality, reliable data consumption by AI models.
Applied AI Integration: Collaborate on the integration of AI models into internal business processes, ensuring practical, scalable, and secure implementations.
Mentorship & Leadership: Actively mentor and elevate a team of early-career engineers (including entry level candidates), providing guidance on code quality, architecture, and professional development without formal supervisory authority.
Risk & Governance: Implement practical technical safeguards against AI-specific risks, including output validation, data privacy, and hallucination mitigation, in alignment with corporate governance standards.
Cross-Functional Collaboration: Partner closely with stakeholders across the organization in this greenfield environment, requiring exceptional communication skills and a highly collaborative mindset.

Qualifications and Technical Skills

Experience: 4 to 6 years of professional experience in Data Engineering, Data Science, Data Analytics, or a closely related technical field.
Core Technical Stack: Strong, demonstrable proficiency in Python and SQL.
Data Engineering Fundamentals: Solid experience building and maintaining data pipelines, data modeling, and data warehousing solutions.
Applied AI Experience: Hands-on experience building, integrating, or working with LLM-powered applications or agentic systems. Direct experience with Anthropic s Claude is highly preferred, but practical experience with any major AI/LLM tool is acceptable.
Infrastructure: Working knowledge of cloud infrastructure (AWS preferred), along with comfort in Docker, CI/CD, and containerization fundamentals.
Leadership: Proven track record of mentoring junior engineers and fostering a collaborative team environment.
Education: Bachelor s degree in Computer Science, Engineering, Data Science, or a related technical field (Master s degree is a plus).

Dice Id: 10119106
Position Id: 9091279
Posted 12 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Jay Doshit

US IT Recruiter @ New York Technology Partners

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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