Cisco · 3 hours ago
Software Engineer
Cisco is a leading technology company focused on revolutionizing how data and infrastructure connect and protect organizations. The Data & AI Engineer will be responsible for building data foundations and production-grade AI solutions to power analytics and intelligent applications, collaborating with various teams to deliver scalable capabilities in the Supply Chain domain.
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Responsibilities
Design, build, and maintain or support scalable data pipelines and batch/streaming workflows to power analytics and AI/ML use cases
Develop and operationalize machine learning and GenAI solutions, including feature pipelines, model training, evaluation, and deployment into production
Implement and manage data and AI infrastructure (e.g., data lakes/warehouses, feature stores, model registries, vector stores, orchestration) following best practices for reliability and security
Partner with Business Teams to translate business problems into data and AI solutions with clear success metrics
Ensure data quality, lineage, observability, and governance across AI workloads, including monitoring for data drift and model performance degradation
Automate CI/CD and MLOps workflows for data pipelines and models, including testing, versioning, and rollout/rollback strategies
Optimize data and model performance and cost across cloud platforms and storage/compute layers
Contribute to standards, documentation, and best practices for data and AI engineering across the organization
Stay current with emerging data and AI technologies (LLMs, vector databases, orchestration tools, etc.) and recommend practical adoption paths
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent with 8+ years of practical experience
Strong experience with data engineering tools and concepts: SQL, data warehousing, ETL/ELT, batch and streaming data processing
Proficiency in Python (preferred) or similar languages for building data and ML/AI solutions
Hands-on experience with cloud platforms (AWS, Azure, or GCP) and modern data platforms (e.g., Snowflake, BigQuery, Databricks, or similar)
Experience building, deploying, and maintaining ML/AI solutions using frameworks such as TensorFlow, PyTorch, scikit-learn, or cloud ML services
Preferred
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI, CI/CD pipelines, containers)
Experience with large language models (LLMs), prompt engineering, RAG pipelines, and vector databases
Background in statistics or ML (feature engineering, model evaluation, A/B testing)
Experience implementing data governance, security, and privacy controls for analytical and AI workloads
Exposure to domain-specific data (e.g., Supply Chain) and associated regulatory environments
Benefits
Medical, dental and vision insurance
401(k) plan with a Cisco matching contribution
Paid parental leave
Short and long-term disability coverage
Basic life insurance
10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
Paid year-end holiday shutdown
4 paid days off for personal wellness determined by Cisco
16 days of paid vacation time per full calendar year
Flexible vacation time off program
80 hours of sick time off provided on hire date and each January 1st thereafter
Up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away may be requested to deal with critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer
Annual bonuses subject to Cisco’s policies
Company
Cisco
Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products. It is a sub-organization of Cisco Press.
H1B Sponsorship
Cisco has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1238)
2024 (1231)
2023 (1273)
2022 (2127)
2021 (1991)
2020 (1173)
Funding
Current Stage
Public CompanyTotal Funding
unknown1990-02-13IPO
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