Senior Software Engineer (AI)

Job Description

• Partner with Architecture/Product/CloudOps/Engineering teams to design highly scalable, flexible and resilient cloud architectures aligned with business and technical requirements.
• Designs and implements complex architectural solutions using AWS design principles, best practices, and industry standards.
• Build and maintain robust APIs and microservices for internal and external consumption.
• Design and implement AI-powered solutions using agent frameworks and multi-agent systems.
• Integrate AI tools into developer workflows and enterprise applications.
• Work with LLM orchestration frameworks (e.g., MCP or similar) to enable intelligent workflows.
• Implement secure authentication and authorization mechanisms, including OAuth 2.0 and delegated access patterns.
• Communicate and explain technical/architectural decisions to product, development, and delivery teams.
• You will report to a Senior Engineering Manager

Qualifications

• BS in Computer Science or related fields Masters preferred
• You need to have 5+ years of professional software engineering experience.
• Strong proficiency in one or more backend languages (e.g., Java, Python, Go, Node.js)
• Extensive experience designing and building APIs at scale.
• Hands-on experience using AI coding tools such as Claude, Cursor, or GitHub Copilot in daily workflows.
• Build and maintain AI-powered APIs for inference, orchestration, and agent-based workflows
• Experience designing and implementing workflows using tools like n8n, Zapier, or similar to automate engineering, data, and business process.
• Deep understanding of cloud computing technologies and workload transition challenges, knowledge of AWS Well-Architected Framework, industry standards, and best practices
• Current cloud technology experience, preferably AWS (EKS, S3, RDS, Lambda, Aurora, ECS-Fargate ...etc.)
• Demonstrable familiarity with CI/CD process, testing frameworks, and practices (Jenkins, Harness, etc.)
• Experience integrating with async messaging, logging, or queues, such as Kafka, RabbitMQ, or SQS. Nice to have
• Experience building AI agents or multi-step LLM workflows.
• Familiarity with agent frameworks (LangChain, LlamaIndex, Semantic Kernel)
• Experience building internal developer platforms or AI-powered dev tools
• Exposure to observability tools for AI systems (prompt tracing, token usage, latency analysis).

Additional Information

Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Benefits

Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.

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Experian Careers - Creating a better tomorrow together