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How much do intern artificial intelligence consultant jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for intern artificial intelligence consultant in the United States is $18.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Intern Artificial Intelligence Consultant vs Intern Data Analyst?

AspectIntern Artificial Intelligence ConsultantIntern Data Analyst
Required SkillsBasic knowledge of AI, machine learning, programming (Python, R)Data analysis, Excel, SQL, statistical skills
Work EnvironmentTech companies, consulting firms, AI-focused projectsBusiness, finance, marketing departments
CertificationsIntroductory AI/machine learning coursesData analysis, Excel certifications
Industry UsageGrowing in AI-driven sectorsWidespread across industries

Intern Artificial Intelligence Consultants focus on AI and machine learning projects, requiring basic programming and AI knowledge. Intern Data Analysts primarily handle data collection, analysis, and reporting, with skills in statistical tools. Both roles are common in tech and business environments, but AI consulting internships are more specialized in AI applications, while data analyst internships are broader in data handling across industries.

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Intern Artificial Intelligence Consultant jobs near you

IT - Lead Consultant | Artificial Intelligence | Artificial Intelligence - ALL

Spruce Infotech

Groton, CT • On-site

Full-time

Re-posted 6 days ago

Job description

Job Title Lead Consultant | Artificial Intelligence | Artificial Intelligence - ALL
Work Location & Reporting Address Groton, CT 6340
Vendor Rate XXX/Hr.
Contract duration 12
Target Start Date 18 May 2026
Job Details:
TECHNICAL SKILLS:
Azure Foundation & Platform
- Azure Foundation and Platform Build
- Provisioning and configuring Azure foundation services
- Managing environments (Dev/Test/Prod) - subscriptions, resource groups
- Azure governance controls (Azure Policies, RBAC, authorization standards)
- Azure Application Gateway configuration (routing rules, backend pools, TLS/SSL, health probes)
AI/ML Expertise
- RAG (Retrieval-Augmented Generation) architecture and implementation
- Prompt Engineering and LLM optimization
- AI model monitoring, evaluation, and performance tuning
- Vector databases and embedding models
- AI/ML frameworks (PyTorch, TensorFlow, LangChain)
Logging, Monitoring & Security
- Logging, monitoring, and auditing capabilities for GENESIS
- Audit logging module (before-and-after values for traceability/compliance)
- Azure Key Vault integration
- Certificate lifecycle management and privileged access workflows
DevOps & Infrastructure
- Terraform scripts
- GitHub Actions
- CI/CD pipeline design and implementation
- Docker/Kubernetes
Database & Data
- PostgreSQL database administration
- Oracle Database (Argus DB, SAI_OWNER schema)
- Data repository structures for ingestion, storage, and downstream consumption
- JSON/XML data processing
Backup/DR & Business Continuity
- Backup/DR and Business Continuity strategies
- Backup policies, retention, restore testing
- DR approach with RTO/RPO assumptions
DOMAIN KNOWLEDGE
- Life Sciences
- Pharmacovigilance and drug safety processes
- E2B (Electronic Submission) standards
- Regulatory compliance (FDA, EMA)
LEADERSHIP & SOFT SKILLS
- Leading cross-functional teams across
- Mentoring the AMS team
- Stakeholder communication and presentation
- Agile/Scrum methodologies
- Architecture documentation (diagrams, decision logs, Design Specification Documents)
- Engineering support for deployments and defect triage
KEY RESPONSIBILITIES IN GENESIS AMS
1. Lead AI AMS team (AI Engineers) India
2. Drive Prompt Engineering for VOX and SAI
3. Support L2/L3 ticket resolution for AI-related issues
4. Coordinate with Infrastructure team for Azure resources
5. Provide engineering support for deployments
6. Support defect triage (platform, gateway, logging/audit, infrastructure issues)
Detailed Job Description
We are looking to staff an experienced onsite AI Technical Lead (Someone at the senior TL or architect level) who has a robust background in Azure infrastructure, CI/CD data pipeline management, and PostgreSQL. Ideally, we'd like to find someone with experience in Life Sciences or Pharmacovigilance to align with the domain requirements.
The role will be based in Parsippany, NJ.
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Lead AI AMS team AI Engineers India
Drive Prompt Engineering for VOX and SAI
Support L2L3 ticket resolution for AIrelated issues
Interview Process (Is face to face required?) Yes

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