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Part Time Aiops Engineer Jobs (NOW HIRING)

Observability Engineer

Mclean, VA · On-site

$53.25 - $73/hr

This role combines hands-on engineering with AIOps implementation to deliver full-stack visibility ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Observability Engineer

Mclean, VA · On-site

$53.25 - $73/hr

This role combines hands-on engineering with AIOps implementation to deliver full-stack visibility ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

DevOps Engineer

Arlington, VA · On-site

$77.60K - $176K/yr

... AIOps, ML Ops, model ops, and data ops to develop tools and get them into the hands of those who ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Part Time Aiops Engineer information

What are the key skills and qualifications needed to thrive as a Part Time AIOps Engineer, and why are they important?

To thrive as a Part Time AIOps Engineer, you need a solid background in IT operations, automation, data analysis, and a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, monitoring tools like Splunk or Prometheus, and relevant certifications such as AWS Certified DevOps Engineer are highly valued. Strong problem-solving abilities, adaptability, and effective communication are essential soft skills for collaborating across teams and responding to incidents. These skills and qualifications are crucial for efficiently managing complex IT environments, ensuring uptime, and driving continuous improvement through AI-driven automation.

What are some common challenges faced by part-time AIOps Engineers, and how can they effectively manage their workload?

Part-time AIOps Engineers often face the challenge of balancing rapid incident response with limited working hours. To manage this, clear communication with full-time team members and leveraging automation tools for monitoring and alerting are essential. Prioritizing tasks, documenting work thoroughly, and maintaining up-to-date knowledge of the system can help ensure smooth handoffs and effective collaboration. Regular check-ins with the team also foster alignment and allow part-time engineers to stay informed about ongoing projects and changes in infrastructure.

What is a Part Time Aiops Engineer?

A Part Time Aiops Engineer is a professional who works reduced hours, typically less than full-time, focusing on implementing and managing AIOps (Artificial Intelligence for IT Operations) solutions. Their role involves using machine learning and data analytics to automate and improve IT operations, such as monitoring, incident detection, and root cause analysis. Working part time, they contribute to building, maintaining, and optimizing AIOps platforms, often collaborating closely with IT and DevOps teams to ensure efficient and proactive system management. This flexible position is ideal for individuals seeking work-life balance while leveraging their technical expertise in AI and IT operations.

What is the difference between Part Time Aiops Engineer vs Part Time Data Engineer?

AspectPart Time Aiops EngineerPart Time Data Engineer
Required CredentialsCertifications in AI, cloud platforms, and scriptingCertifications in data warehousing, SQL, and ETL tools
Work EnvironmentCloud-based, AI-focused teams, monitoring AI systemsData pipelines, database management, data processing teams
Employer & Industry UsageTech companies, AI service providers, cloud providersFinance, healthcare, tech firms managing large datasets
Search & Comparison IntentUnderstanding AI operations in part-time rolesData infrastructure and pipeline management in part-time roles

The Part Time Aiops Engineer focuses on managing and optimizing AI systems, requiring knowledge of AI tools and cloud platforms. In contrast, the Part Time Data Engineer concentrates on building and maintaining data pipelines and databases. Both roles often share similar credentials but differ in their core focus areas and work environments.

More about Part Time Aiops Engineer jobs
What cities are hiring for Part Time Aiops Engineer jobs? Cities with the most Part Time Aiops Engineer job openings:
What are the most commonly searched types of Aiops Engineer jobs? The most popular types of Aiops Engineer jobs are:
What states have the most Part Time Aiops Engineer jobs? States with the most job openings for Part Time Aiops Engineer jobs include:
Infographic showing various Part Time Aiops Engineer job openings in the United States as of May 2026, with employment types broken down into 100% As Needed. Highlights an 82% Physical, 9% Hybrid, and 9% Remote job distribution.
Agentic AIOps Technical Lead

Agentic AIOps Technical Lead

Booz Allen Hamilton, Inc.

Mclean, VA • On-site

$112.80K - $257K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 24 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

8th of 57 rated business consultants


Job description

Job Description
Remote Work:
Hybrid
Job Number:
R0239430
Location:
McLean,VA,US
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Agentic AIOps Technical Lead
The Opportunity:
As an experienced engineer, you know that artificial intelligence-especially agentic systems, Generative AI, and large language models (LLMs)-is reshaping how modern operations are run. We need your technical leadership and problem-solving expertise to architect next-generation capabilities in Agentic AIOps, enabling autonomous detection, triage, and operational decision-making across complex enterprise and mission environments.
In this role, you will architect and build advanced AI-driven AIOps capabilities, including autonomous agents, LLM-powered workflows, observability integrations, and automated operational responses. You will collaborate with AI/ML engineers, data scientists, SREs, platform engineers, software developers, security engineers, and product owners to design and deliver world-class solutions that modernize operational ecosystems.
You will set the technical vision, drive architectural standards, and ensure scalable, secure, and resilient design patterns across the Agentic AIOps portfolio. Your ability to bridge advanced technical strategy with hands-on engineering will enable innovations that shape how missions of national importance operate in real time.
Join us. The world can't wait.
You Have:
  • 7+ years of experience in software engineering, machine learning engineering, site reliability engineering, platform engineering, or AI systems architecture
  • 3+ years of experience designing, developing, or deploying AI-driven systems, including autonomous agents, LLM-based systems, or automated decision pipelines
  • Experience architecting agentic, automation, or AIOps systems for observability, resilience, or operational intelligence
  • Experience with agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or custom agent frameworks
  • Experience integrating LLMs, GPT-class models, or multimodal models into applications, pipelines, or mission systems
  • Experience with cloud-based infrastructure and platform services, including AWS, Azure, or GCP
  • Experience with Kubernetes
  • Experience working in cross-functional delivery environments with data scientists, ML engineers, SREs, product managers, and security teams and creating reference architectures and creating technical roadmaps
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with AIOps tools and observability platforms such as Elastic, Splunk, Datadog, OpenTelemetry, Prometheus, or Grafana
  • Experience with containerized architectures, distributed systems, and CI/CD pipelines
  • Experience with MLOps, AIOps, or automation tooling such as MLflow, Kubernetes, Airflow, Ray, vector databases, event-driven pipelines, or observability stacks
  • Experience supporting federal clients or mission-critical operational systems
  • Ability to translate complex technical concepts into clear and concise insights for non-technical or executive audiences
  • Possession of excellent verbal and written communication skills

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914