Senior AI Platform and Reliability Engineer
US-CO-Littleton
Attract-careers1
Req #: 97484
Type: Fulltime-Regular
|
|
||||||||||
|
|||||||||||
Overview: Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow. Responsibilities: Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. This role addresses the critical challenge of transitioning from reactive, threshold-based monitoring to a proactive, self-healing infrastructure. The primary focus is bridging the gap between experimental machine learning and production-grade software by architecting resilient systems that orchestrate Large Language Models and agentic workflows. By leveraging predictive intelligence and deep observability, this position ensures the stability and efficiency of high-traffic order provisioning and device activation journeys in complex cloud environments. What Success Looks Like (Objectives) * Architect and deploy self-healing infrastructure that moves operations toward predictive intelligence and autonomous remediation * Design high-scale AI orchestration workflows and RAG pipelines to solve real-world business problems while optimizing for token costs and performance * Automate the resolution of recurring Tier-1 and Tier-2 incidents using Runbooks-as-Code to reduce manual toil and improve system reliability * Lead the fine-tuning and evaluation of open-source models to ensure high-quality data retrieval and minimize hallucination rates in production * Establish AI engineering best practices through comprehensive code reviews and mentorship of junior engineers transitioning to AI-native development * Implement full-stack observability across the customer order journey to diagnose and resolve complex provisioning issues before they impact the user experience Qualifications: Core Skills and Competencies (What you'll bring) * Expert proficiency in Python and Java to develop production-grade backend systems and complex AI microservices * Deep technical expertise in Generative AI architectures, including Transformer models, prompt engineering, and the integration of Large Language Models * Critical experience architecting Retrieval-Augmented Generation (RAG) pipelines and managing unstructured data within vector databases like Milvus * Advanced knowledge of observability platforms such as Dynatrace and AWS CloudWatch to drive data-driven decision-making and system performance * Demonstrated ability to design and implement automation tools using Python, Ansible, and Bash to achieve autonomous infrastructure remediation * AI literacy and the capacity to innovate by applying emerging AI-Ops tools and predictive intelligence to traditional site reliability challenges Additional Qualifications * Contributions to open-source AI projects or a documented portfolio of Agentic AI applications * Professional certifications in Cloud AI (e.g., AWS Certified Machine Learning - Specialty) * Experience building scalable applications leveraging IBM Watsonx.ai and/or AWS Bedrock, ensuring our AI solutions are governed, secure, and performant Minimum Requirements * Minimum Education: Bachelor's Degree in Computer Science, Information Technology, or a relevant field (or 5+ years of equivalent software engineering experience) * Minimum Experience: 5+ years of experience in backend or full-stack software development, with at least 2 years focused on AI-powered development * Required Technical Skills: * Critical experience in Python-based API orchestration and custom tool development * Hands-on expertise with AWS cloud services, Serverless architectures, and Kubernetes * Proven track record in AI-driven software development with 2+ years of specialized experience in architecting and deploying autonomous AI agents and intelligent bot frameworks
Share this job:
