Sr Automation AI Engineer

Job Description:

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.

What we're looking for...

You are the one reading up on the latest standard methodologies in data mining, automation, and visualization. You can visualize the big picture strategy, but can also break it down into the components to get the job done—especially when it comes to triaging user issues and turning them into clear, technical requirements for your developers. You believe that the best decisions are based on data and you're the one that knows how to tackle the key learning within a dataset. You have credibility with people because you are a specialist in all things data and automation, but you also know how to bring it down to the level that your audience can understand. And you're an effective and inspiring leader who brings out the best in others.

You'll need to have:

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.

Even better if you have one or more of the following:

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).

Where you'll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.