Senior Solutions Architect I at American Express Company South Africa

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

0.0

Posted On

16 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP, Spark, Beam, Flink, Dataflow, BigQuery, Salesforce, Einstein, Python, Java, PyTorch, TensorFlow, LangChain, AutoGen, CI/CD, Grafana

Industry

Financial Services

Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure. Key responsibilities Architect and deliver scalable, distributed data pipelines and cloud-native processing solutions on GCP using Spark, Beam, Flink, Dataflow, and BigQuery. Engineer fault-tolerant, high-throughput systems; define strong data modeling, partitioning, and schema evolution strategies; and embed observability, lineage, and data quality across workflows. Optimize multi-tenant and single-tenant platforms for cost, performance, security, and reliability, while standardizing automation and migration frameworks. Responsible to architect and solution in and around CRM solutions like Salesforce, leveraging out of the box agentic solutions such as AgentForce, Einstein. Perform architectural reviews, performance benchmarking, capacity planning, and developer experience initiatives through reusable SDKs, APIs, and libraries. Collaborate with Cloud, Security, and Platform teams to ensure enterprise alignment, and mentor engineers to drive technical excellence and best practices. Communicate technical strategy effectively and contribute hands-on to critical platform components. Proficiency in Python, Java with exposure to AI/ML frameworks (PyTorch, TensorFlow). Prototype lightweight agentic workflows using frameworks such as LangChain or AutoGen and integrate agents with enterprise data and APIs. Support compliance, documentation, and knowledge sharing to promote responsible and effective AI adoption. Qualifications Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or Data Engineering, ; advanced degree preferred 7+ years of experience in data engineering, distributed systems and AI/ML. Proven success in architecting and delivering large-scale, high-performance, cloud-native data systems on GCP or equivalent environments. Expert in Python and Java with deep experience in Spark, Beam, Flink, and GCP Dataflow for scalable data processing. Knowledge of Python and data processing technologies such as Big Data (Hadoop, Spark) Knowledge of natural language processing techniques, models such as BERT, Transformer models, and their real-world applications Proficient with CI/CD and automation tools such as GitHub Enterprise, Jenkins, or Cloud Build. Strong knowledge of cost-performance trade-offs and designing multi-tenant architectures optimized for efficiency and reliability. Proficient in observability frameworks (metrics, logging, tracing) using Grafana, Prometheus, Splunk, ELK, Stackdriver. Preferred experience working with a CRM solution like Salesforce and ability to define multiple data integration patterns for the same. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: 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 American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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Responsibilities

The role is responsible for architecting and delivering scalable, distributed data pipelines and cloud-native processing solutions on GCP, while also engineering fault-tolerant, high-throughput systems with strong data modeling and quality embedding. Additionally, the architect will design and solution around CRM solutions like Salesforce, perform architectural reviews, and mentor engineers.