What are the responsibilities and job description for the Senior Principal Software Engineer - NetSuite AI Agent position at Oracle?
As a Senior Software Engineer in the NetSuite AI team, you will play a pivotal role in developing cutting-edge generative AI agents. These intelligent systems will generate insights, automate decision-making processes, and enhance the user experience for customers across industries. You will design and implement production-ready, scalable, and efficient AI systems, collaborating with cross-functional teams to solve real-world business challenges. Your expertise in natural language processing (NLP), machine learning (ML), and generative AI technologies will be key as you help build intelligent agents that transform data into actionable insights. You will own the end-to-end development lifecycle, from initial concept to deployment, ensuring that AI systems are reliable, performant, and drive tangible business value.
Preferred Qualifications:
- Proficiency or experience in applying AI and ML to solve business or operational challenges
- Over 4 years of hands-on generative AI Agent engineering experience
- Extensive experience in python, langchain, langflow, haystack or similar technologies.
- Proficiency in NOSQL databases and large data analytics.
- Exceptional communication skills, adept at conveying technical and non-technical information effectively
Career Level - IC5
Qualifications:
Disclaimer:Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Responsibilities:
- Design, develop, and deploy scalable generative AI agents that leverage NLP, machine learning, and deep learning to provide actionable insights, automate workflows, and solve complex business problems
- Write high-quality, maintainable, and production-ready code for distributed ML & AI systems, following best practices for security, performance, and scalability.
- Work closely with data scientists, product managers, and engineers to define requirements, establish design principles, and iterate on solutions. Champion engineering standards, participate in technical discussions, and mentor junior engineers.
- Build user-friendly tools and interfaces for internal teams and customers to interact with AI Agent systems
Salary : $96,800 - $251,600
