Agentic AIOps Technical Lead

Booz Allen Hamilton•McLean, VA

About The Position

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.

Requirements

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 creating technical roadmaps
Ability to obtain a Secret clearance
Bachelor’s degree

Nice To Haves

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

Responsibilities

Architect and build advanced AI‑driven AIOps capabilities, including autonomous agents, LLM‑powered workflows, observability integrations, and automated operational responses.
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.
Set the technical vision, drive architectural standards, and ensure scalable, secure, and resilient design patterns across the Agentic AIOps portfolio.
Bridge advanced technical strategy with hands-on engineering to enable innovations that shape how missions of national importance operate in real time.