Software Engineer – SDWAN vAnalytics Cloud Infra & Services

Intel Corporation; San Jose (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

An established industry player is seeking a skilled AI Engineer to join their innovative team. This role involves driving advancements in AI-powered analytics and automation, utilizing cutting-edge AWS Bedrock capabilities. As part of a collaborative environment, you will develop, fine-tune, and deploy generative AI models, ensuring seamless integration with AWS services for real-time insights. The company promotes a hybrid work model and values inclusivity, offering opportunities for professional growth and community engagement. If you're passionate about AI and eager to make an impact, this position is perfect for you.

Qualifications

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

Responsibilities

• Develop and deploy generative AI models using AWS Bedrock.
• Automate AI workflows with AWS-native tools for performance and reliability.

Skills

Python

AWS Bedrock

Generative AI

Agile/Scrum

AI/ML Solutions

Education

Bachelor's degree in Computer Science

Tools

AWS Lambda

AWS SageMaker

AWS Kinesis

AWS Redshift

Docker

Job description

Cisco’s SD-WAN vAnalytics team develops Cisco vAnalytics, a cloud-based analytics service for Cisco SD-WAN. This service provides comprehensive insights into application and network performance. Cisco emphasizes a hybrid work model, employee resource organizations (Inclusive Communities), and volunteer opportunities. Cisco positions itself as a leader in technology powering the internet, focused on helping customers reimagine applications, secure their enterprise, transform infrastructure, and meet sustainability goals. They highlight a culture of inclusivity and employee development.

This role focuses on driving innovation in AI-powered analytics and automation within Cisco’s SD-WAN vAnalytics team. The successful candidate will be instrumental in leveraging the latest AWS Bedrock capabilities to unlock new insights and efficiencies.

Key Responsibilities:

1. Generative AI Solution Development: Building, fine-tuning, and deploying generative AI models using AWS Bedrock. This includes selecting and integrating foundation models (e.g., Amazon Titan, Anthropic Claude, Stability AI) for tasks like text generation, summarization, and multimodal content analysis.
2. AI Workflow Automation: Automating end-to-end AI workflows, encompassing data ingestion, transformation, and inference. This will utilize AWS-native tools (e.g., Lambda, SageMaker, Kinesis) with a focus on performance, reliability, and cost-effectiveness.
3. Integration & Deployment: Seamlessly integrating AI models with AWS data lakes, Redshift, and analytics services to enable real-time insights. Support for Retrieval Augmented Generation (RAG) and other advanced use cases is also required.

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 a 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.
• U.S. Person required due to work in a FedRAMP environment and potential work on U.S. government projects.

Location and Commute:

The position requires commuting to the San Jose, CA office at least 3 days a week. The application window closes on 5/16/25.