AI Solution Architect in El Cajon

Serve as part of a platform engineering team responsible for enabling AI / ML workloads through the design and operation of cloud- infrastructure. Build and maintain secure, scalable Kubernetes-based platform environments deployed in AWS, and develop Infrastructure-as-Code and automation frameworks to support scalable and repeatable infrastructure deployments. Implement CI / CD pipelines and Git-based workflows to support automated platform and application delivery, including Kubernetes deployment workflows and GitOps best-practices. Collaborate closely with data scientists, ML engineers, and application teams to support model training, experimentation, and deployment environments running on Kubernetes. Apply DevOps and platform engineering principles to improve reliability, automation, and operational efficiency. Identify and address gaps in infrastructure performance, bottlenecks, or scalability challenges, ensuring continual improvement of platform ecosystems. Implement monitoring, logging, and observability capabilities to support production systems and distributed workloads. Develop solutions to complex technical problems while providing general mentorship and guidance to junior team members as needed. Work independently with some guidance and review or guide activities of more junior employees.

• 5+ years of experience supporting cloud- platforms, infrastructure engineering, or DevOps environments \n

• 3+ years of experience operating and troubleshooting production Kubernetes clusters, including networking, storage, and workload management \n

• Experience operating distributed systems or cloud- platforms supporting large-scale applications or data workloads \n

• Experience building and maintaining reusable Infrastructure-as-Code modules to provision and manage cloud infrastructure \n

• Experience developing automation and scripting solutions using such as Python or Bash \n

• Experience implementing CI / CD pipelines and Git-based workflows, including GitHub, Gitlab, Jenkins, or Helm, * Experience implementing monitoring, logging, and observability solutions using tools such as CloudWatch, Grafana, or Elasticsearch

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, , 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 $99,000.00 to $225,000.00 (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.

Statement

As part of the hiring process, we will ask you to complete an verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your 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. \n

• \nRemote: 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. \n

• \nHybrid: 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. \n

• \nOnsite: 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. \n

\n Commitment to Non-Discrimination

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