Enterprise AI Specialist Will Train

fundae Software Inc; United States; Remote; USD 30,000 - 45,000; Full time

Job summary

fundae Software Inc. is offering an Enterprise AI training program aimed at developing professionals for significant AI projects in global companies. Candidates will undergo training in advanced AI technologies, engage in practical applications, and be evaluated for permanent roles post-program completion. The program is designed for working professionals with flexible training schedules and includes comprehensive benefits upon role placement.

Benefits

Comprehensive health insurance

Paid vacation

Initial placement stipend

Qualifications

• Minimum of 18 months professional experience (including internships)
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Exposure to AI Agent concepts or Digital Twins

Responsibilities

• Comprehensive training in AI technologies over 4 months.
• Engagement in real-time projects under mentorship after initial training.
• Placement in AI roles within client projects or product teams

Skills

Basic knowledge of SQL

Python

Understanding NLP concepts

Effective communication in technical contexts

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics

Tools

AWS

Azure

GCP

Job description

fundae Software Inc. is a specialized enterprise AI firm dedicated to addressing complex, large-scale business scenarios through advanced artificial intelligence technologies. By partnering with leading global enterprises, including Fortune 500 companies in sectors such as pharmaceuticals, biotechnology, and healthcare, fundae develops and deploys strategic AI solutions that optimize operational effectiveness, improve regulatory compliance, and deliver measurable organizational value. **
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About the Role:

We are looking for passionate individuals aiming to build a rewarding career in Enterprise Artificial Intelligence (AI). Candidates selected for this program will undergo comprehensive training in cutting-edge AI technologies and will later be placed in significant AI projects for major global enterprises.

Your Accelerated Career Path:

Initial Training (Month 1): Virtual instructor-led training covering:

• Language Models (Large and Small)
• Understanding Enterprise AI
• Reasoning and Prompt Engineering
• Enterprise AI Applications (NLP, NER, RAG, NLP-to-SQL)
• AI Agents (Digital Twins)
• AI Agent Orchestration

Practical Training (Months 2 to 4):

• Real-time project experience under professional mentorship
• Hands-on application of your AI skills in real-world enterprise scenarios

Placement:
Candidates selected for this program will be evaluated and placed into permanent roles, either within internal product teams or external client projects for Fortune 500 companies.

Enterprise AI Bootcamp Curriculum:

• AI 101: Introduction to Artificial Intelligence (3 Credits, Corresponding US Course: CS 101, Introduction to AI). Fundamental AI concepts and distinctions between general AI and enterprise-specific AI.
• AI 201: Natural Language Processing and Language Models (3 Credits, Corresponding US Course: CS 220, Natural Language Processing). NLP methods and applications, skills to implement NLP-driven solutions.
• AI 210: Human AI Interaction and Prompt Engineering (3 Credits, Corresponding US Course: IT 240, Human Computer Interaction). Prompt engineering techniques for optimal user-AI interactions.
• AI 220: Applied Data Analytics for Enterprise (3 Credits, Corresponding US Course: DS 310, Applied Data Analytics). Analytics methods essential for enterprise AI including NLP, NER, RAG, and NLP-to-SQL.
• AI 301: Intelligent Systems AI Agents (3 Credits, Corresponding US Course: CS 340, Intelligent Systems). Designing and deploying AI agents for complex enterprise tasks using frameworks like LanGraph and LangChain.
• AI 302: Digital Twins (Human Digital Twins - HDTs) (3 Credits, Corresponding US Course: CS 342, Digital Twin Systems). HDT systems for modeling human behavior and improving workflows.
• AI 310: Capstone Practicum in Enterprise AI (3 Credits, Corresponding US Course: CS 400, AI Capstone Project). Comprehensive development and implementation of enterprise AI projects.

Upon successful completion, participants receive a Certificate in Enterprise AI, officially recognizing specialized skills and readiness for enterprise AI roles.

Total Credits: 21 (Equivalent to one full semester of U.S. university coursework)

The Enterprise AI training program provided by fundae Software Inc. is offered at no cost to selected candidates. Designed to accommodate your existing professional or academic commitments, the training sessions are scheduled exclusively during weekends and weekday evenings, allowing you to seamlessly continue your current employment or studies while advancing your AI expertise.

Candidate Requirements:

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, or related fields
• Minimum of 18 months professional experience (including internships)
• Basic knowledge of SQL or Python
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Understanding NLP concepts
• Exposure to AI Agent concepts or Digital Twins
• Reasoning and effective communication in technical contexts
• Comfortable with weekend virtual training sessions

Required Prerequisite: Enterprise-Grade Cloud Infrastructure

Candidates must have their own enterprise-grade cloud environment (Azure or AWS) ready for training and practical exercises. This infrastructure is critical to successfully engage with the curriculum and support immediate professional application.

For Azure, the essential environment includes Azure OpenAI Service, Azure Cognitive Services, Azure Functions, Azure Kubernetes Service (AKS), Azure Storage (Blob and Data Lake), Azure SQL Database or PostgreSQL, Azure Monitor and Application Insights, and Azure Logic Apps.

For AWS, the essential environment includes AWS SageMaker, AWS Lambda, Amazon EKS, AWS Comprehend, Lex, Rekognition, Amazon S3, Amazon RDS (MySQL/PostgreSQL), AWS CloudWatch, and AWS Step Functions.

The use of a personal cloud environment is essential, as enterprise AI training involves extensive, hands-on experience with real-world tools and infrastructure. Shared or temporary environments are insufficient because they do not provide continuous access, customization, or realistic operational scenarios needed to develop genuine expertise. Maintaining your own professional-grade environment ensures you can effectively practice, experiment, and validate enterprise-grade solutions independently, directly supporting your professional growth and preparedness.

Candidates must demonstrate active setup and availability of their selected cloud platform before program commencement.

Compensation and Benefits:

• Initial placement stipend starting at USD 2,500 per month upon being placed on a project for a minimum of 3 months and maximum of 6 months. Post-placement stipend period, candidates will transition to a competitive salary based on individual performance and market benchmarks.
• Comprehensive health insurance, paid vacation, and additional perks upon permanent conversion

The training period is up to 4 months, potentially shorter if candidates master the curriculum earlier and are prepared for immediate professional deployment.