ML/AI Software Engineer

Cisco; San Jose (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Join a forward-thinking company as a Software Engineer in the SD-WAN vAnalytics team, where you will drive innovation in AI and machine learning solutions. This exciting role involves designing and deploying generative AI applications using AWS Bedrock, optimizing workflows, and integrating advanced analytics capabilities. Collaborate with a talented team to unlock insights and efficiencies, all while contributing to a culture that values diversity and inclusion. If you're passionate about technology and eager to make a significant impact, this opportunity is perfect for you.

Benefits

Paid time off for volunteering

Inclusive Communities

Learning and development opportunities

Qualifications

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

Responsibilities

• Drive innovation in AI-powered analytics and automation.
• Design and optimize AI and machine learning solutions using AWS services.

Skills

Python

AWS Bedrock

Generative AI

AI/ML Solutions

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. 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 must be a U.S. Person (e.g., U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee). This position may also require work that 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 give their best and be their best.

We understand our 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 also offer dedicated paid time off to volunteer—80 hours each year—allowing us to give back to causes we are passionate about, and nearly 86% of our employees participate!

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

Cisco is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Cisco will consider qualified applicants with arrest and conviction records on a case-by-case basis.