Our Client, a multi-national telecommunications technology is seeking an experienced and highly accomplished AWS Principal Architect to lead the strategy, architecture, and enterprise-wide implementation of an advanced AIOps framework supporting large-scale telecommunications network operations. In this role, you will design and deliver intelligent, automated, and highly reliable network operations solutions by leveraging advanced software development and cutting-edge AWS AI/ML services-such as Amazon Bedrock, Amazon Neptune, graph-based learning, and agentic AI orchestration.

This role is Hybrid role, requiring you to be onsite 4 days/week in Greenwood Village, CO (Denver area).

Key Responsibilities:

- Evolve, promote, and recommend the end-to-end AIOps architectural strategy for network operations transformation using AI and ML.
- Engage with senior stakeholders, communicate architectural decisions, and influence leadership-level alignment.
- Drive organizational adoption of AIOps, automation, and AI-enabled network operations.
- Architect and implement a production-grade AIOps framework on AWS to automate and enhance network monitoring, event correlation, root cause analysis, and remediation.
- Integrate predictive and real-time ML models to proactively identify and prevent network outages.
- Establish observability standards (metrics, logs, traces) and enable closed-loop automation for continuous operations improvement.
- Lead the design of agentic AI systems using LLMs, tool-driven automation, retrieval-augmented generation (RAG), and workflow orchestration.
- Implement guardrails, policy layers, and safe tooling interfaces enabling AI-driven autonomous decision-making in network operations.
- Combine foundation models on Amazon Bedrock with telecom-specific data, workflows, and automation triggers.
- Architect scalable, secure AWS environments supporting large enterprise telecom workloads.
- Leverage Amazon Neptune for graph modeling of network topology and integrate graph neural network (GNN) techniques for impact analysis, dependency reasoning, and predictive insight.
- Incorporate AWS services such as EC2, Lambda, EKS, S3, CloudFormation/Terraform, SageMaker, Rekognition, and Comprehend to create end to end intelligent operations capabilities.
- Implement strong IAM, data protection, governance, and compliance-aligned cloud foundations.
- Define coding standards, CI/CD automation, and DevSecOps practices for reliable and secure delivery.
- Operational excellence & production governance
- Lead reliability engineering practices, including HA/DR architecture, chaos engineering, capacity management, and telemetry-driven performance tuning.
- Oversee model lifecycle management (MLOps), monitoring, retraining pipelines, and production governance.
- Ensure solutions meet enterprise reliability, compliance, and observability benchmarks.
- Leadership, mentoring & thought leadership
- Mentor and guide senior engineers and architects, fostering a high-performance engineering culture.
- Develop reusable frameworks, best practices, and technical assets to accelerate future implementations.
- Champion innovation, experimentation, and continuous learning across teams.


If you would like to learn more, please reach out to Elite technical

Required Skills

Required Qualifications:

- Bachelor's or Masters degree in computer science, information technology, engineering, or related field.
- 12+ years of experience designing and delivering large-scale cloud architectures, primarily on AWS.
- 7+ years of experience leading senior engineers, architects, or cross-functional technical teams.
- Expert-level proficiency with AWS cloud services, including advanced AI/ML stacks, Bedrock, Neptune, and modern data architectures.
- Deep knowledge of AI/ML principles, agentic AI patterns, and MLOps practices.
- Strong understanding of telecommunications networks, data flows, protocols, and operational processes.
- Exceptional communication skills, with ability to influence executives and collaborate across diverse engineering, data, and operations teams.

Preferred Qualifications:

- AWS Certified Solutions Architect - Professional or other advanced AWS certifications.
- Experience modernizing mission-critical telecom or network platforms.
- Background in network automation tooling and ITSM/ITIL-driven operations.
- Demonstrated thought leadership through publications, reusable frameworks, or industry contributions.