AWS Engineer

We have partnered with our client in their search for a Project Manager for a contract to hire opportunity in Plano, TX.

• Design, develop, and deploy AI/ML models and agent-based systems that automate technology and platform workflows for the internal platform.
• Lead the integration of intelligent agents into operational processes to improve decision-making, workflow execution, and process optimization across engineering and operations.
• Build AI-assisted tooling that improves Infrastructure as Code (IaC) development, validation, and change management (examples: Terraform, Ansible, Cloud Formation style patterns) across cloud and on-prem environments.
• Partner with Dev Ops and platform engineering teams to enhance CI/CD pipelines using AI/ML for signal detection, predictive analytics, and automated remediation.
• Develop AI-powered observability automation to monitor, analyze, and proactively manage application and infrastructure health for internal platform services.
• Automate alert triage, root cause analysis assistance, and incident response workflows using ML-driven techniques, with clear guardrails and measurable outcomes.
• Engineer or enable data pipelines and feature workflows needed to support model training, evaluation, and real-time or near-real-time inference use cases.
• Implement and operate MLOps capabilities (deployment patterns, monitoring, quality gates, rollback strategies, documentation) aligned to enterprise expectations for reliability and risk management.
• Collaborate with cross-functional teams (engineering, product, SRE, operations, architecture, controls) to identify high-value automation opportunities and deliver outcomes that can be adopted at scale.
• Continuously evaluate emerging AI/ML approaches and tooling, and translate them into practical, secure, and maintainable platform capabilities.

• Hands‑on experience building agent‑based systems and integrating them into real operational or engineering workflows.
• Experience applying AI/ML to automate or improve Infrastructure as Code workflows (examples: generation assistance, validation, policy checks, drift detection, change risk scoring).
• Familiarity with observability fundamentals and toolsets (examples: Prometheus, Grafana, ELK stack) and experience automating operational workflows using AI/ML.
• Strong foundations in data structures, algorithms, machine learning, statistics, and software engineering best practices.

• Infrastructure as Code
• Terraform
• AI/ML knowledge (2‑3 years)
• AWS 8 years
• Observability tools – Grafana, Splunk, Dynatrace
• Automation scripting languages – Bash, shell script, Groovy

• Bachelor's or master's degree in computer science, Engineering, or related field, or equivalent practical experience.
• 5+ years total engineering experience with 3+ years hands‑on experience delivering AI/ML engineering solutions in production environments.

Title
:
Project Manager

Location
:
Plano, TX

Client Industry
:
Fin Tech

Compensation
: $70‑85/hr