Sr Automation AI Engineer

American IT Systems•Temple, FL

5d•Hybrid

About The Position

Daily Automation & Workflow Optimization: Identifying opportunities to automate daily routine operations, testing, and configuration tasks to improve delivery management and increase feature delivery throughput. User Issue Resolution & Backlog Grooming: Acting as the primary escalation point for user issues, analyzing feedback, and effectively converting operational pain points into structured technical tasks/user stories for the development team. Strategic Partnerships: Partnering with the SON community to define industry standards for AI-led/Autonomous Networks. Building data models that will drive automation of network assurance, performance, and planning activities. Project & Vendor Management: Partnering with the Network Performance teams to manage project prioritization and working with global delivery teams (including vendors) to deliver the program and projects meeting the timeline, quality, and budget. Reliability Engineering: Leading the delivery of Systems Reliability Engineering (SRE) product journeys across platforms to capture customer or user feedback to improve user experience. Technical Problem Solving: Engaging in technical discussions to build solutions that can scale and are resilient to meet agreed-upon service levels. Data-Driven Decision Making: Driving the adoption of analytics in decision-making. Building business cases and translating findings into practical business implications. Talent Development: Demonstrating and encouraging ongoing performance coaching to refresh, elevate, and unlock talent, and executing on Development Plans/Performance Improvement Plans when necessary in accordance with HR guidelines.

Requirements

Bachelor's degree in Math, Statistics, Physics, Engineering, Computer Science, Econometrics, or four or more years of work experience.
Six or more years of relevant work experience.
Experience with quantitative modeling, statistics, or data mining.
Experience in workflow automation and managing/triaging user support issues.

Nice To Haves

Strong knowledge of SON especially with RAN Domain experience preferred in Network technology - RAN or CORE performance.
Managed a global team (employee & vendor) of experienced developers and data scientists.
Communication skills adaptable to varied audiences; in experience to experienced developers, software development managers, and executives.
Knowledge in best practices for security, risk posture, and governance.
Knowledge and experience with structured software development methodologies including design, development, and testing in an agile environment.
Experience with data visualization software (e.g., Tableau, Looker, Grafana, Excel).
Experience with data management/data science tools (e.g., Google Cloud, BigQuery, Domino, GenAI tools).
Experience with multiple coding languages (e.g., C/C++, Java, React JS, Spring Boot, Python).
Experience with high-performing, scalable database technologies (Cassandra, SingleStore, Druid).
Demonstrated communication and influence skills with peers and business partners.
Experience in analysis, developing, and measuring KPIs and OKRs for platform services.
Experience designing container and microservices-based solutions.
Experience with streaming data ingestion for very large ecosystems (Kafka, Pulsar).

Responsibilities

Identifying opportunities to automate daily routine operations, testing, and configuration tasks to improve delivery management and increase feature delivery throughput.
Acting as the primary escalation point for user issues, analyzing feedback, and effectively converting operational pain points into structured technical tasks/user stories for the development team.
Partnering with the SON community to define industry standards for AI-led/Autonomous Networks.
Building data models that will drive automation of network assurance, performance, and planning activities.
Partnering with the Network Performance teams to manage project prioritization and working with global delivery teams (including vendors) to deliver the program and projects meeting the timeline, quality, and budget.
Leading the delivery of Systems Reliability Engineering (SRE) product journeys across platforms to capture customer or user feedback to improve user experience.
Engaging in technical discussions to build solutions that can scale and are resilient to meet agreed-upon service levels.
Driving the adoption of analytics in decision-making.
Building business cases and translating findings into practical business implications.
Demonstrating and encouraging ongoing performance coaching to refresh, elevate, and unlock talent, and executing on Development Plans/Performance Improvement Plans when necessary in accordance with HR guidelines.