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Engineer I
Resy
posted 1hr ago
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Job Description
You Lead the Way. We ve Got Your Back.
At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and lets lead the way together.
Engineer - 1Bengaluru Urban, Karnataka, India
Work Location Options:Hybrid
You Lead the Way. We ve Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you will learn and grow as we help you create a career journey that is unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you will be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we will win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we will do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and lets lead the way together.
SENIOR ENGINEER of Digital Workspace AI/ML Platform
What is Amex s objective for a digital workplace?
The Digital Workplace AI/ML Platform with GENAI capabilities aims to bring together the data from all Unified Workspace, Collaboration and Colleague Servicing platforms; combining this with HR, Information Security, and network data to provide real-time, meaningful insights in areas such as user experience, health scoring, productivity, and overall IT visibility. As the Engineer 1 of the Digital Workplace AI/ML Platform, you will have responsibility for leading the engineering teams to develop the GENAI based Data and Cloud platform and enhance it to provide personalization capabilities, analytics, and engineering automations, and best practices.
Our winning aspiration is to deliver the best Colleague digital experience. We simplify work and raise productivity by empowering Colleagues with the best digital tools and services.
Opportunity for Impact
Digital Workplace at American Express is entering into a new phase of technology transformation driven by opportunities to improve Colleague experience, raise productivity and collaboration, and drive operational efficiency of all service and infrastructure operations. If you have the talent and desire to deliver innovative products and services at a rapid pace, with hands on experience and strategic thinking, in areas of productivity and collaboration software suites, endpoint computing and security, mobile platforms, data management and analytics, and software engineering, join our leadership team to help with our transformation journey.
Role and Responsibilities:
The Data platform with GENAI capabilities is central to the future of how we work and improve colleague experience while identifying opportunities for improvement.
As the engineer of this group, you will:
Create and build entire AI ML solution in production grade.
Work & collaborate with Product Management and Digital Workplace teams to influence key decisions on architecture/ solutions and implementation of scalable, reliable, and cost-effective AI/ML platform
Bring thought leadership to advance the overall state of technology and customer focus for the platform
Enthusiasm for staying up to date with the latest advancements in AI, NLP, and large language models.
A portfolio showcasing previous language model projects, contributions to open-source projects, or relevant publications is a plus.
Build culture of innovation, ownership, accountability, and customer focus
Contribute to the American Express Data and AI ML Strategy. Working with other Technology teams to drive enterprise solutions, define best practice at a company level and further develop skills and experience outside Digital Workplace.
Partner with the Digital Workplace technology teams to develop the next generative solution. platform strategy across all products and channels.
Participate actively and constructively in agile team meetings and application reviews
Work directly with and learn from the business, product, and engineering leaders across the organization
Strengthen the collaboration with Industry partners/suppliers for more robust data solutions and market research for innovative solutions in this space.
Professional Qualifications:
Have extensive knowledge to build production grade MLOPS
Have extensive knowledge of AI ML, NLP, deep learning and generative AI
Mandatory strong experience in scalability, large scale distributed system designs to handle million requests, including reliability engineering, and platform monitoring .
Expertise in pre-processing and cleaning large datasets as a part of ingesting data, from multiple sources within the enterprise.
Willingness to learn GENAI, AI, LLMs, Rags, NLP, that are used in multilingual conversational systems.
Take an extra mile to solve real-world scenarios for user commands and requests by identifying the right LLM models, tooling and frameworks.
Willingness in deploying language models in production environments and integrating them into applications, platforms, or services.
Review architecture and provide technical guidance for engineers
Good to have experience on various data architectures, latest tools, current and future trends in data engineering space especially Big Data, Streaming and Cloud technologies like GCP, AWS, Azure.
Good to have experience with Big Data technologies (Spark, Kafka, Hive, etc. ) and have at least 1 Big data implementation on production grade platforms like.
Good to have experience with Visualization Tools like ElasticSearch, Tableau, Power BI, etc.
Ability to learn new tools and paradigms in data engineering and science
Well versed in AGILE, SAFe and Program Management methods
Bachelor s degree with a preference for Computer Science, Master s / Phd is a plus.
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life.
Benefits include:
Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement.
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need.
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
Benefits include:
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
Employment Type: Full Time, Permanent
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