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职位Infosys

Oracle Finance Cloud AI Architect

Infosys

Oracle Finance Cloud AI Architect

Infosys

Charlotte, NC

·

On-site

·

Full-time

·

3d ago

Infosys is seeking an Oracle Fusion ERP Technical Architect Resource with good hands-on Technical exposure to Oracle Fusion modules like GL, AP, FA. The candidate should also have good understanding of Oracle Embedded AI and AI Agent Studio development work. The expectation is to have experience in evaluating, customizing, and implementing Oracle embedded AI, generative AI and AI Agents across the Oracle ecosystem. This role drives the evaluation and design of embedded GenAI capabilities in Oracle Cloud and guides build vs buy decisions to accelerate SAP to Oracle Cloud migrations across AP, FA, GL, Reporting, Master Data, and downstream data provisioning.

Required Qualifications:

  • Location for this position is Charlotte, NC / Plano, TX/ Jersey City, NJ. This position may require relocation and/or travel to client/project location.
  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
  • At least 7 years of hands-on experience in Design, Modeling, Implementation, Development of Oracle's ERP Cloud such as GL, AP & FA modules.
  • Good understanding and experience in Oracle Cloud Embedded AI, Prompt Engineering

Preferred Qualifications:

  • 5+ years of experience with Oracle Fusion ERP technical development in GL, FA, AP modules
  • 1+ years of experience in AI/ML, generative AI, Agentic AI and automation solution development, with a focus on Oracle Cloud platforms
  • Experience with Integrations using Oracle OIC
  • Experience in data conversion (GL, FA, AP modules) from legacy systems
  • Experience on e-Invoicing in Oracle Fusion AP
  • Ability to work in onsite-offshore models.
  • Should be able to drive customer discussions independently and act as trusted advisor.

Estimated annual compensation range for this role will be as follows: In Jersey City, NJ:$96,021 to $133,159Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

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关于Infosys

Infosys

Infosys

Public

Infosys Limited is an Indian multinational technology company that offers information technology, business consulting, and outsourcing services. Founded in 1981 by seven engineers, the company is headquartered in Bengaluru and considered one of the Big Six Indian IT companies.

10,001+

员工数

Bengaluru

总部位置

$72B

企业估值

评价

3.9

10条评价

工作生活平衡

3.7

薪酬

2.8

企业文化

4.1

职业发展

3.2

管理层

3.4

75%

推荐给朋友

优点

Flexible work hours and remote work options

Good learning opportunities and training programs

Collaborative environment and supportive colleagues

缺点

High workload and long hours during deadlines

Low salary and uncompetitive pay

Limited career advancement and growth opportunities

薪资范围

220,463个数据点

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Junior/L3 · Consultant

30,301份报告

$102,678

年薪总额

基本工资

$98,015

股票

-

奖金

$4,663

$68,767

$153,955

面试经验

2次面试

难度

3.5

/ 5

时长

14-28周

体验

正面 0%

中性 50%

负面 50%

面试流程

1

Application Review

2

Online Assessment

3

Technical Interview

4

HR Round

5

Final Decision

常见问题

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Problem Solving