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Temporary Observability Engineer Jobs (NOW HIRING)

Senior AI Agentic Engineer

Charlotte, NC · On-site

$102.10K - $140.20K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... evaluation, observability, and governed deployment. The engineer works across platforms and ...

Senior AI Agentic Engineer

Charlotte, NC · On-site

$102.10K - $140.20K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... evaluation, observability, and governed deployment. The engineer works across platforms and ...

Engineering Manager

Pleasanton, CA · On-site

$180K - $210K/yr

Ensure seamless production handoffs with strong documentation, observability, and SLAs * Drive ... temporary roles are not eligible for the above benefits. Compensation Pay Range: $180k - $210k ...

Advocating for permanent solutions rather than temporary fixes. * Collaborating in code reviews to ... Familiarity with cloud-based observability, monitoring, or security platforms. Preferred Experience

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Temporary Observability Engineer information

What are the key skills and qualifications needed to thrive as a Temporary Observability Engineer, and why are they important?

To thrive as a Temporary Observability Engineer, you need strong knowledge of monitoring, logging, and tracing concepts, along with experience in cloud environments and a relevant technical degree or equivalent experience. Familiarity with tools like Prometheus, Grafana, ELK Stack, and APM solutions, as well as scripting languages such as Python or Bash, is typically required. Excellent problem-solving skills, adaptability, and clear communication help professionals quickly integrate into teams and address incidents effectively. These skills ensure the reliability, performance, and visibility of systems, which is critical for rapid troubleshooting and maintaining service health.

What are some typical challenges Temporary Observability Engineers face when quickly integrating into ongoing projects?

Temporary Observability Engineers often join teams with established systems and workflows, which can make ramping up quickly a challenge. They may need to familiarize themselves with existing monitoring tools, dashboards, and alerting configurations in a short time, while also understanding the team's priorities and pain points. Communication is key, as collaborating with DevOps, SREs, and developers helps ensure observability improvements are aligned with ongoing initiatives. Flexibility, adaptability, and strong documentation skills are especially valuable in this fast-paced, project-based environment.

What are Temporary Observability Engineers?

Temporary Observability Engineers are professionals hired on a short-term basis to design, implement, and optimize monitoring, logging, and alerting solutions within an organization's IT infrastructure. Their main goal is to ensure system reliability and visibility by setting up tools and processes that track application performance, detect issues, and provide actionable insights. These engineers often work on specific projects or to fill a gap during peak periods, focusing on improving how systems are observed and managed. They collaborate with development, operations, and security teams to ensure seamless integration of observability practices. After their contract ends, they may provide documentation and training to help permanent staff maintain and evolve the observability setup.
More about Temporary Observability Engineer jobs
What cities are hiring for Temporary Observability Engineer jobs? Cities with the most Temporary Observability Engineer job openings:
What are the most commonly searched types of Observability Engineer jobs? The most popular types of Observability Engineer jobs are:
What states have the most Temporary Observability Engineer jobs? States with the most job openings for Temporary Observability Engineer jobs include:
Infographic showing various Temporary Observability Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 81% Full Time, and 17% Contract. Highlights an 44% Physical, 45% Hybrid, and 11% Remote job distribution.
Senior AI Agentic Engineer

Senior AI Agentic Engineer

Truist

Charlotte, NC • On-site

$102.10K - $140.20K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Truist rating

8.3

Company rating: 8.3 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

34th of 141 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
***This position is 5 days a week in the Charlotte Office***
The Senior AI Agentic Engineer is a senior production builder responsible for designing, implementing, testing, and operating enterprise-grade agentic systems that solve real business problems at scale.
This role sits at the center of the Forge delivery model, translating approved architecture patterns into production workflows that combine prompts, tools, APIs, memory, retrieval, orchestration logic, and human oversight into working enterprise capabilities.
This is a hands-on senior engineering role focused on agent workflows, multi-step reasoning, prompt architecture, tool integration, memory/context management, retrieval-augmented generation (RAG), evaluation, observability, and governed deployment.
The engineer works across platforms and frameworks used to deliver production AI capabilities, including Microsoft and Azure-based agent platforms, enterprise workflow tooling, and other approved agentic engineering stacks where needed.
Daily work includes building agent flows, implementing orchestration logic, integrating APIs and enterprise systems, tuning prompts and execution patterns, validating output quality, hardening reliability, instrumenting observability, and supporting secure deployment through enterprise release controls.
The role is expected to operate with senior-level ownership, production judgment, and deep technical accountability while still moving at startup speed inside enterprise governance.
***For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)***
Essential Duties and Responsibilities
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
  • Design, build, and deploy production-ready AI agents and agentic workflows that combine prompts, tools, APIs, memory, retrieval, and business logic into useful enterprise capabilities.
  • Implement single-agent and multi-agent workflows using approved Forge patterns, including tool orchestration, supervisor-worker patterns, human-in-the-loop controls, session-aware execution, and safe fallback behaviors.
  • Translate architecture and product intent into robust implementations that are observable, testable, secure, and maintainable in enterprise production environments.
  • Build and maintain integrations to enterprise systems, APIs, workflow services, and governed data sources that enable agents to act safely and effectively within approved boundaries.
  • Design and maintain prompt architectures, tool schemas, retrieval logic, memory behavior, and structured execution controls that improve agent accuracy, reliability, and explainability.
  • Contribute to RAG, grounding, and knowledge-retrieval patterns using search, vector stores, document pipelines, and governed enterprise data services.
  • Implement runtime controls for resilience and safety, including error handling, retries, tool constraints, structured outputs, human escalation, and observable execution behavior.
  • Support evaluation and regression validation for agentic solutions, including prompt changes, model changes, workflow changes, and quality benchmarks tied to business outcomes.
  • Use approved engineering acceleration tools to speed code generation, testing, refactoring, and documentation while remaining accountable for production quality and correctness.
  • Write and maintain automated tests, integration validations, deployment-readiness checks, and runbooks for agent-enabled solutions and their supporting services.
  • Partner with architecture, security, QA, product, data, platform, and enablement teams to move AI capabilities from design into reliable production delivery.
  • Contribute reusable engineering patterns, reference implementations, and technical guidance that raise delivery quality and speed across the broader Forge engineering organization.

Qualifications
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Bachelor's degree and eight to twelve years of experience as a developer or equivalent education and related training or experience
  • Deep specialized and/or broad functional knowledge
  • Sound understanding of business and organizational strategies and processes 4. Ability to interpret internal and external business challenges and recommend best practices
  • Ability to lead complex projects
  • Sophisticated analytical skills and the ability to solve complex technical and business problems
  • Ability to influence others at senior levels to adopt a new perspective

Additional Requirements:
  • 5+ years of software engineering experience, including strong hands-on experience building and supporting production systems in enterprise environments.
  • Strong programming ability in Python and working knowledge of TypeScript, JavaScript, or another modern language commonly used in enterprise engineering stacks.
  • Demonstrated experience building AI-enabled applications, prompt-driven workflows, orchestration logic, or agentic systems that move beyond simple chat responses.
  • Experience integrating APIs, enterprise systems, workflow services, tools, and governed data sources into applications or automations with production-grade reliability.
  • Strong understanding of prompt design, tool-calling, workflow branching, context handling, and engineering patterns required to make AI systems dependable in production.
  • Experience with automated testing, CI/CD, code review, observability, and release controls in modern engineering organizations.
  • Ability to work across architecture, implementation, reliability, security, and operational concerns instead of only isolated coding tasks.
  • Strong written and verbal communication skills and the ability to operate effectively in cross-functional enterprise delivery teams.

PREFERRED QUALIFICATIONS
  • Experience with enterprise agent platforms, workflow automation tools, or AI delivery stacks used for production business solutions.
  • Experience with Microsoft, Azure, Copilot / Copilot Studio, Power Platform, or enterprise AI productivity and orchestration ecosystems.
  • Experience with RAG, vector stores, retrieval pipelines, enterprise knowledge grounding, memory-aware agent behavior, or multi-agent collaboration patterns.
  • Experience validating or tuning AI outputs for accuracy, consistency, policy adherence, and business usefulness in production-style scenarios.
  • Experience in financial services, cybersecurity, risk-managed enterprise environments, or other heavily governed production settings.
  • Experience mentoring other engineers, reviewing architecture or code quality, and functioning as a senior technical contributor with broad delivery impact.
  • Experience working with observability, telemetry, production incident handling, and operational runbooks for complex AI-enabled systems.

OTHER JOB REQUIREMENTS / WORKING CONDITIONS
Sitting
Constantly (More than 50% of the time)
Standing
Frequently (25% - 50% of the time)
Walking
Frequently (25% - 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019