Agentic AIOps Technical Lead

Job Number: R0239430

Agentic AIOps Technical Lead
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.

Qualifications

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 MLOps, AIOps, or automation tooling, such as MLflow, Kubernetes, Airflow, Ray, vector databases, event‑driven pipelines, or observability stacks

Experience with cloud‑based infrastructure and platform services, including AWS, Azure, or GCP

Experience working in cross‑functional delivery environments with data scientists, ML engineers, SREs, product managers, and security teams, and creating reference architectures and technical roadmaps

Ability to obtain a Secret clearance

Bachelor's degree

Nice to 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 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.

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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