Senior AI Observability Architect

Strive Solutions

Chicago (IL)

On-site

USD 140,000 - 190,000

Full time

12 hours ago
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Job summary

Strive Solutions seeks a Lead Product Engineer to design and deliver agentic AI and observability solutions for finance and insurance platforms. You will lead the technical vision, architect scalable services, and drive the integration of telemetry, logs, and metrics to empower teams to detect, diagnose, and prevent issues.

You will mentor engineers, promote reliability and security, and collaborate across data, SRE, and product teams.

Qualifications

  • Strong software engineering background with experience building scalable systems.
  • Proficiency in AI/agentic solution design and production deployment.
  • Experience with observability tooling and telemetry integration (metrics/logs/traces).
  • Ability to lead technical architecture, reliability, and operational readiness.
  • Excellent cross-functional communication and team mentorship skills.

Responsibilities

  • Define requirements with data, SRE, and product stakeholders.
  • Architect scalable, reliable services for AI monitoring and observability.
  • Integrate telemetry, logs, and metrics into intuitive, actionable tools.
  • Ensure reliability, security, and compliance in delivered solutions.
  • Mentor engineers and drive adoption of modern engineering practices.
  • Help shape the organization’s AI and observability strategy through collaboration and continuous learning.

Skills

Software engineering
Agentic AI design
Observability tooling
Production deployment
Cross-functional leadership

Job description

Strive Solutions seeks a Lead Product Engineer to design and deliver agentic AI and observability solutions for finance and insurance platforms. You will lead the technical vision, architect scalable services, and drive the integration of telemetry, logs, and metrics to empower teams to detect, diagnose, and prevent issues.

You will mentor engineers, promote reliability and security, and collaborate across data, SRE, and product teams.

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