Top 21 ai/ml engineer Jobs in columbus, in

AI Engineer - ICAM
General Dynamics Information Technology —Indiana
- $153,000 - $207,000 a year
- Remote
- Azure
- Research
- AWS
- Paid time off
- 401(k) matching
5d
UI/UX Designer
General Dynamics Information Technology —Indiana
- $144,500 - $195,500 a year
- Mid-level
- Analysis skills
- Bachelor's degree
- Paid time off
- 401(k) matching
9d
Network Solutions Engineer – Enterprise Network SME
General Dynamics Information Technology —Indiana
- $164,382 - $215,050 a year
- Remote
- Azure
- 11+ years
- AWS
ITIL Automation / Orchestration Engineer
General Dynamics Information Technology —Indiana
- $144,500 - $195,500 a year
- Remote
- 8 years
- Bachelor's degree
- JavaScript
DS Engineer Sr. Principal
General Dynamics Information Technology —Indiana
- $128,039 - $173,229 a year
- 11+ years
- Travel
- In-person
- Paid time off
- 401(k) matching
DS Fiber Optic Lead
General Dynamics Information Technology —Indiana
- $111,155 - $150,385 a year
- 5 years
- Bachelor of Science
- Bachelor's degree
- Paid time off
- 401(k) matching
Distribution Systems Lead Engineer
General Dynamics Information Technology —Indiana
- $111,155 - $150,385 a year
- Travel
- In-person
- Senior level
- Paid time off
- 401(k) matching
Network/Field Service Engineer - Southeast Region (Travel Required)
General Dynamics Information Technology —Indiana
- $73,965 - $86,250 a year
- Computer Science
- System design
- Mid-level
5d
Senior Full-Stack Software Engineer (min. Secret required)
General Dynamics Information Technology —Indiana
- $212,500 - $287,500 a year
- Computer science
- Azure
- Computer Science
- Paid time off
- 401(k) matching
4d
Senior AI/ML Engineer
Everforth CyberCoders —United States
- $180,000 - $210,000 a year
- Full-time
- Remote
- Azure
- AWS
- Analysis skills
- Health insurance
- Dental insurance
1d

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AI Engineer - ICAM

General Dynamics Information Technology -
Indiana

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Job Details

$153,000 - $207,000 a year
5 days ago

Benefits

Internal mobility program
Paid time off
401(k) matching

Qualifications

AI models
Search engines
Software engineering
Data preprocessing
Predictive modeling analysis
Enterprise software
Software implementation
Generative models
Clustering algorithms
Enterprise solutions implementation
Research
AI platforms (beyond public GPTs)
Computational framework
Enterprise software systems development
Prompt engineering
Technical solutions implementation
Machine learning cloud services
Machine intelligence
Outlier detection
Model deployment
Enterprise Integration
Developing large-scale AI models
Natural language processing
Model training
Clustering
Predictive analytics projects
Machine learning libraries
Model evaluation
Machine learning frameworks
Implementing IT solutions

Full Job Description

Your Impact

Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.

Job Description

As an AI Engineer for the ICAM program, you will be responsible for researching, designing, developing, and implementing Artificial Intelligence (AI) solutions that enhance Identity, Credential, and Access Management (ICAM) capabilities across the Department of War enterprise.

You will work with identity architects, cybersecurity engineers, data analysts, software developers, and mission stakeholders to identify opportunities where AI can improve identity analytics, access governance, operational efficiency, cybersecurity, and decision support.

This position is 100% remote.

MEANINGFUL WORK AND PERSONAL IMPACT:
This role will help establish and mature AI capabilities across the ICAM ecosystem by leveraging machine learning, generative AI, predictive analytics, natural language processing, and intelligent automation technologies. The AI Engineer will support the full lifecycle of AI initiatives from concept development and experimentation through production implementation and sustainment while ensuring compliance with DoW security requirements and responsible AI principles.

Design, develop, test, and implement AI and machine learning solutions supporting enterprise ICAM objectives.
Identify opportunities to improve identity governance, access management, onboarding processes, and operational workflows through AI-driven capabilities.
Develop predictive analytics, anomaly detection, behavioral analysis, and risk-scoring models using identity and access management data.
Support the implementation of Generative AI solutions, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and intelligent assistants to improve operational efficiency and user support.
Analyze large volumes of authentication, authorization, audit, entitlement, and access governance data to identify trends, risks, and actionable insights.
Collaborate with engineers and architects to integrate AI capabilities into existing ICAM platforms and enterprise services.
Evaluate emerging AI technologies and recommend solutions applicable to ICAM, Zero Trust, and cybersecurity use cases.
Develop proof-of-concepts, prototypes, and pilot programs to validate AI capabilities before enterprise adoption.
Support creation of AI governance processes, model validation procedures, and responsible AI controls.
Develop technical documentation, architecture artifacts, implementation plans, and operational procedures.
Participate in Agile development activities including sprint planning, backlog refinement, demonstrations, and retrospectives.
Collaborate with cybersecurity teams to ensure AI capabilities align with DoW security requirements, privacy protections, and risk management frameworks.
Support data preparation, feature engineering, model evaluation, tuning, and performance monitoring activities.
Provide technical leadership and subject matter expertise regarding AI technologies and industry best practices.

WHAT YOU’LL NEED TO SUCCEED (Required):
Bring your expertise and drive for innovation to GDIT. The AI Engineer must have:

Education & Experience: Bachelor’s Degree and a minimum of 8 years’ experience required. An additional 4 years of experience may be substituted in lieu of degree.

Clearance: Minimum of an active Secret security clearance required.

Certification: Minimum of an active CompTIA Security+ certification or higher.

Technical Skills:

5+ years of experience in artificial intelligence, machine learning, data science, advanced analytics, or software engineering.
Experience designing, developing, or implementing enterprise AI solutions.
Strong experience with Python and AI/ML development frameworks.
Experience with machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, or equivalent technologies.
Experience developing and implementing Large Language Model (LLM) solutions, prompt engineering techniques, and Retrieval Augmented Generation (RAG) architectures.
Experience with natural language processing (NLP), semantic search, vector databases, and knowledge retrieval technologies.
Experience working with structured and unstructured datasets, data preparation, model training, and performance evaluation.
Understanding of statistical analysis, predictive modeling, classification, clustering, and anomaly detection techniques.
Experience integrating AI solutions with enterprise applications, APIs, and business processes.
Familiarity with Microsoft Azure AI Services, Azure OpenAI, AWS Bedrock, Anthropic, OpenAI, or equivalent AI platforms.
Proven track record supporting enterprise IT customers, preferably within DoW or Federal Government environments.

GDIT IS YOUR PLACE:
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities.
Support: An internal mobility team focused on helping you achieve your career goals.
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off.
Community: Award-winning culture of innovation and a military-friendly workplace.

OWN YOUR OPPORTUNITY:

Explore a career in program management at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results.

Work Requirements

Years of Experience

8 + years of related experience

may vary based on technical training, certification(s), or degree

Certification

CompTIA Security+ CE | CompTIA - CompTIA

Travel Required

Less than 10%

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $153,000 - $207,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Apply Now

Refine Your Search

ai/ml engineer jobs in columbus, in

AI Engineer - ICAM

UI/UX Designer

Network Solutions Engineer – Enterprise Network SME

ITIL Automation / Orchestration Engineer

DS Engineer Sr. Principal

DS Fiber Optic Lead

Distribution Systems Lead Engineer

Network/Field Service Engineer - Southeast Region (Travel Required)

Senior Full-Stack Software Engineer (min. Secret required)

Senior AI/ML Engineer

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