American Express Hiring AI Engineer II in Bengaluru | Apply Online 2026

American Express has opened applications for the position of AI Engineer II in Bengaluru, India. This opportunity is ideal for candidates who are passionate about Artificial Intelligence, Machine Learning, Data Engineering, Cloud Technologies, and Generative AI. The role offers the chance to work on large-scale enterprise AI platforms that support millions of users while helping improve digital workplace experiences across the organization.

If you are looking to build a career in AI, Machine Learning, MLOps, NLP, Large Language Models, and cloud-based data platforms, this could be a valuable opportunity to gain experience with one of the world's most respected financial services companies.

About American Express

American Express is a globally recognized financial services company known for its innovation, customer-focused products, and strong workplace culture. With a history spanning more than 175 years, the company continues to invest heavily in technology, data analytics, artificial intelligence, and digital transformation.

The organization focuses on delivering exceptional customer experiences while maintaining high standards of security, trust, and reliability. Employees at American Express benefit from continuous learning opportunities, leadership development programs, and exposure to cutting-edge technologies.

Job Role

Position: AI Engineer II

The selected candidate will work within the Digital Workplace AI/ML Platform team and contribute to building advanced AI-driven solutions. The platform combines workplace, collaboration, security, network, and HR data to generate real-time insights that improve employee productivity and digital experiences.

This role involves designing and developing production-grade AI and Machine Learning systems while collaborating with product managers, engineers, and business stakeholders to deliver scalable solutions.

Eligibility Criteria

  • Bachelor's Degree in Computer Science or a related field.
  • Master's Degree or PhD is an added advantage.
  • Strong understanding of Artificial Intelligence and Machine Learning concepts.
  • Knowledge of MLOps, NLP, Deep Learning, and Generative AI technologies.
  • Experience with cloud platforms such as AWS, Azure, or GCP is beneficial.
  • Understanding of large-scale distributed systems and data engineering concepts.
  • Ability to learn emerging technologies and solve real-world business challenges.

Skills Required

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • MLOps
  • Natural Language Processing (NLP)
  • Generative AI
  • Large Language Models (LLMs)
  • RAG Architectures
  • Data Engineering
  • Cloud Computing (AWS, Azure, GCP)
  • Distributed Systems
  • Big Data Technologies
  • Apache Spark
  • Kafka
  • Hive
  • Power BI
  • Tableau
  • ElasticSearch
  • Agile Methodology
  • Problem Solving Skills
  • Communication and Collaboration Skills

Key Responsibilities

  • Design and build production-grade AI and Machine Learning solutions.
  • Develop scalable AI platforms capable of handling large volumes of requests.
  • Collaborate with product and engineering teams on architecture decisions.
  • Implement Generative AI solutions for workplace productivity and automation.
  • Work with large datasets from multiple enterprise sources.
  • Deploy language models into production environments.
  • Contribute to data strategy and AI innovation initiatives.
  • Provide technical guidance and architecture recommendations.
  • Participate in Agile development processes and reviews.
  • Research emerging technologies and industry best practices.

Salary Details

American Express has not officially disclosed the salary package for this role. However, compensation is expected to be competitive and aligned with industry standards for AI and Machine Learning professionals. Additional benefits may include bonuses, health insurance, retirement support, wellness programs, and career development opportunities.

Job Location

Bengaluru, Karnataka, India (Hybrid Work Model)

The role follows a hybrid work arrangement, allowing employees to balance office collaboration with flexible work options based on business requirements.

Selection Process

The hiring process may include the following stages:

  1. Online Application Submission
  2. Resume Screening
  3. Technical Assessment
  4. AI/ML Technical Interview
  5. Managerial or Team Discussion
  6. HR Interview
  7. Background Verification
  8. Final Offer

The exact selection process may vary depending on business requirements and candidate profiles.

How To Apply

  1. Visit the official American Express careers portal.
  2. Search for the AI Engineer II job opening.
  3. Review all eligibility requirements carefully.
  4. Prepare an updated resume highlighting AI, ML, and technical skills.
  5. Submit the online application before the deadline.
  6. Monitor your email regularly for updates regarding assessments and interviews.

Important Dates

  • Job Posted: 19 June 2026
  • Application Deadline: 29 June 2026
  • Job Type: Full-Time
  • Work Mode: Hybrid

Why You Should Apply

Opportunities in Artificial Intelligence continue to grow rapidly, and working at American Express can provide valuable exposure to enterprise-scale AI systems. The company invests heavily in technology innovation and encourages employees to explore new ideas.

For candidates interested in Generative AI, NLP, Machine Learning, Cloud Computing, and Data Engineering, this role offers the chance to work on meaningful projects that impact thousands of employees globally.

Beyond technical experience, you'll also gain exposure to cross-functional collaboration, enterprise architecture, and modern AI deployment practices. These experiences can significantly strengthen your long-term career prospects.

Frequently Asked Questions (FAQ)

1. What is the role offered by American Express?

American Express is hiring for the position of AI Engineer II.

2. Where is the job located?

The job is based in Bengaluru, Karnataka, with a hybrid work model.

3. Is this a full-time opportunity?

Yes, it is a full-time position.

4. What educational qualification is required?

A Bachelor's Degree in Computer Science or a related field is preferred.

5. What skills are important for this role?

AI, Machine Learning, MLOps, NLP, Generative AI, Cloud Computing, and Data Engineering skills are highly valuable.

6. Is experience with Large Language Models useful?

Yes, knowledge of LLMs, RAG architectures, and Generative AI technologies is beneficial.

7. What is the application deadline?

The last date to apply is 29 June 2026.

8. Does American Express offer employee benefits?

Yes, employees may receive healthcare benefits, wellness programs, bonus incentives, retirement support, and learning opportunities.

Apply Here: 

Interested candidates can submit their application through the official American Express careers portal before the application deadline.