Matlen Silver

Job Description – AWS Senior Architect (AIOps Framework Implementation)
Location: Denver, CO (Hybrid 4+1)
Duration: 6+ Months
Work Authorization: Visa Independent Preferred (H1B accepted only for exceptionally strong candidates)

Position Overview

We are seeking a highly experienced AWS Senior Architect to lead the end-to-end design and implementation of an AIOps framework for a large-scale telecommunications environment. The ideal candidate will have deep expertise in AWS cloud architecture, AI/ML technologies, agentic AI frameworks, and telecom network operations. This role is critical for enabling autonomous network operations, outage prediction, and automated decision-making using AWS’s latest AI capabilities.

Key ResponsibilitiesAIOps Framework Development

• Architect and implement a robust AIOps framework using cutting-edge AWS AI/ML services.
• Build predictive models to detect anomalies, forecast outages, and optimize telecom network performance.
• Automate network operations through AI-driven insights and closed-loop remediation.

AWS Architecture Design

• Develop scalable, secure, and resilient AWS cloud architectures supporting AIOps initiatives.
• Integrate advanced AWS services including Amazon Bedrock for LLMs and foundational models.
• Utilize Amazon Neptune for graph-based data and Amazon GNN for graph neural network workloads.

Agentic AI & Autonomous Operations

• Implement AWS agentic AI frameworks for autonomous network decision-making and workflow automation.
• Enable self-healing, self-optimizing operational capabilities across telecom environments.

Collaboration & Technical Leadership

• Partner with network engineers, operations teams, AI/ML engineers, and data scientists to deploy AIOps capabilities.
• Lead workshops, architecture reviews, and technical discussions to ensure alignment with business and technical goals.
• Provide guidance and mentorship to cross-functional teams on AIOps adoption and AWS best practices.

Technology Evaluation & Integration

• Evaluate and incorporate relevant AWS services such as SageMaker, Rekognition, Comprehend, and ANO capabilities.
• Integrate AWS AIOps components with legacy and modern telecom systems.
• Drive PoCs, pilots, and full-scale implementations of AI-driven operational tools.

Continuous Improvement

• Establish feedback loops to refine predictive models, automation flows, and AIOps processes.
• Continuously evaluate emerging AWS services, AI innovations, and telecom technologies.
• Recommend improvements to enhance system reliability, speed, observability, and operational efficiency.

QualificationsEducation

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field.

Experience

• 8+ years of experience in cloud architecture with a focus on AWS.
• Proven background implementing AI/ML solutions in telecom, network operations, or large-scale distributed environments.
• Hands-on experience with AIOps, observability platforms, and network analytics.

Technical Skills

• Deep expertise in AWS services:
• EC2, S3, Lambda, SageMaker, CloudFormation, Amazon Bedrock, Amazon Neptune, Amazon GNN
• Strong understanding of AI/ML algorithms, LLMs, and agentic AI frameworks.
• Familiarity with telecom networks, protocols, and operational workflows.
• Experience integrating AWS solutions into highly complex network ecosystems.

Soft Skills

• Excellent analytical, problem-solving, and decision-making abilities.
• Strong leadership, communication, and stakeholder management skills.
• Ability to work effectively in high-pressure and cross-functional environments.

Preferred

• AWS Certified Solutions Architect – Professional or equivalent certification.
• Experience with DevOps tools and practices (Terraform, CI/CD, automation frameworks).
• Strong understanding of network automation, orchestration, and telemetry tools.

Job Type: Contract

Pay: $60.00 - $65.00 per hour

Work Location: In person