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Tier-1 employer, mid-level AI title, metro role and popular skillset increase competition.
AI engineering skills are transferable but Snowflake and GenAI specifics raise moderate domain bias.
Explicit years and mandatory AI, Snowflake, and full-stack tech increase filter strictness.
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Drive design, development, unit testing, delivery, and maintenance of AI-driven features for Partner Incentives and Metrics using Cisco LLMs and AI tools.
Investigate and resolve bugs, performance issues, data discrepancies, and security concerns with AI support to minimize development lifecycle impact.
Collaborate with Business Systems Analyst and Product Owner to deliver prioritized outcomes through solution and execution phases.
Bachelor's degree with 3+ years professional experience or Master's degree with 2+ years in Computer Science, AI/ML Engineering, or related field.
Strong programming skills in Python, Java, and experience with Snowflake and full stack development.
Knowledge of AI/GenAI capabilities, N-Tier architecture, Harness Engineering processes, Agile methodology, data preprocessing, feature engineering, and model evaluation.
Experience with development and infrastructure tools including Jira, Confluence, Jenkins, GitHub Copilot, automation, BOTs/Agents, and CI/CD pipelines.
Experienced in end-to-end AI solution delivery within a large-scale enterprise environment using contemporary AI tools and Cisco LLM technologies.
Hands-on software engineer comfortable with distributed backend systems and capable of collaborating closely with business and product stakeholders for outcome-driven delivery.
Proficient in integrating AI-driven processes into software development lifecycle to improve code quality, performance, and maintainability.