ML/AI Software Engineer

Cisco Systems, Inc.; California, San Jose (MO, CA); Hybrid; USD 100,000 - 150,000; Full time

Job summary

An established industry player is seeking a talented Software Engineer to join their innovative SD-WAN vAnalytics team. This role focuses on driving AI-powered analytics and automation, utilizing AWS Bedrock to develop cutting-edge generative AI applications. You will design and optimize advanced AI solutions, enabling the business to unlock new efficiencies and insights. With a commitment to fostering an inclusive future, this company encourages growth and collaboration, providing a dynamic environment where your contributions will make a significant impact. If you are passionate about AI and looking for a rewarding career, this opportunity is perfect for you.

Benefits

Paid volunteer time off

Employee resource organizations

Learning and development opportunities

Qualifications

• 6+ years of software development experience focused on AI/ML solutions.
• Expertise in building generative AI models using AWS Bedrock.

Responsibilities

• Design and optimize AI and machine learning solutions using AWS.
• Automate AI workflows for data ingestion and transformation.

Skills

Python

AI/ML Solutions

AWS Bedrock

Agile/Scrum

Education

Bachelor's degree in Computer Science

Tools

AWS Lambda

AWS SageMaker

AWS Kinesis

AWS Redshift

Docker

Job description

The application window is expected to close on 5/16/25.

This position requires that you commute to the San Jose, CA office at least 3 days a week.

Meet the Team

Cisco's SD-WAN vAnalytics team develops Cisco vAnalytics, a cloud-based analytics service for Cisco SD-WAN offering comprehensive insights into application and network performance. We are seeking an experienced Software Engineer to join our SDWAN vAnalytics Cloud Infra & Services team.

Your Impact

This role will drive innovation in AI-powered analytics and automation, enabling the business to unlock new insights and efficiencies using the latest AWS Bedrock capabilities. In this role, you will design, build, and optimize advanced AI and machine learning solutions using AWS Bedrock and other AWS services. You will leverage foundation models to develop scalable generative AI applications, automate insights from multimodal data, and integrate AI-driven capabilities into data analytics platforms.

• Generative AI Solution Development: Build, fine-tune, and deploy generative AI models using AWS Bedrock, selecting and integrating foundation models (e.g., Amazon Titan, Anthropic Claude, Stability AI) for tasks such as text generation, summarization, and multimodal content analysis.
• AI Workflow Automation: Automate end-to-end AI workflows, including data ingestion, transformation, and inference using AWS-native tools (e.g., Lambda, SageMaker, Kinesis), ensuring performance, reliability, and cost-effectiveness.
• Integration & Deployment: Seamlessly integrate AI models with AWS data lakes, Redshift, and analytics services, enabling real-time insights and supporting Retrieval Augmented Generation (RAG) and other advanced use cases.

Minimum Qualifications

• 6+ years of experience in software development, with a focus on designing, developing, and deploying AI/ML solutions in AWS environments.
• Demonstrated expertise in building, fine-tuning, and operationalizing generative AI models using AWS Bedrock, including experience with foundation models for text, image, and multimodal applications.
• Strong proficiency in Python and experience with AWS services such as Lambda, SageMaker, Kinesis, and Redshift.
• Experience working in Agile/Scrum environments and collaborating with multi-functional teams.
• Bachelor's degree in Computer Science or related field.

Preferred Qualifications

• Ability to evaluate and select appropriate foundation models to meet business requirements, with hands-on experience in customizing and deploying them via AWS Bedrock.
• Knowledge of AI workflow orchestration, monitoring, and cost optimization in serverless/cloud environments.
• Experience with containerization (e.g., Docker), cloud security, and MLOps best practices.
• Strong communication and collaboration skills, with the ability to mentor peers and articulate technical concepts to stakeholders.
• The successful applicant will be performing work in a FedRAMP environment, and therefore, be a U.S. Person (i.e., U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee). This position may also perform work that the U.S. government has specified can only be performed by a U.S. citizen on U.S. soil.

#WeAreCisco

#WeAreCisco, where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

Our passion is connection—we celebrate our employees' diverse backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers, where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together, and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. We offer dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!