This role pays less than
51%
of similar roles. Most pay
$142,575–$204,587
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$174k
for comparable roles.
Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
1240 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 817 roles with salary data.
The AI Solution Developer designs and implements AI solution architectures and strategies to address complex client business problems while adhering to organizational goals and ethical considerations. Working with minimal direction, the individual will develop innovative solutions, mentor team members, and supervise staff. The role involves building high-availability, scalable enterprise cloud environments and deploying production applications specifically within an AWS environment. Key technical requirements include proficiency in Python, big data technologies such as Hive, Q, Bedrock, PySpark, Synapse, or Databricks, and experience with the Amazon AI product tool suite including SageMaker Studio. The candidate must possess expertise in training LLMs, data migration processes, and cloud infrastructure. This position requires a TS/SCI clearance with a polygraph to address technical challenges within specialized environments involving secure, large-scale enterprise systems and advanced data science applications.
Design and implement AI solution architectures to address specific client business problems and needs.
Develop innovative solutions to complex technical problems using advanced consulting and industry knowledge.
Train Large Language Models (LLMs) and utilize big data technologies like Hive, PySpark, and Databricks.
Architect and implement highly available, scalable, and resilient enterprise cloud environments.
Deploy production applications specifically within the AWS cloud environment.
Utilize the Amazon AI product tool suite, including SageMaker Studio and Bedrock.
Mentor and supervise team members while providing technical guidance to architects and engineers.
What we're looking for
TS/SCI clearance with polygraph.
6+ years of experience implementing enterprise IT systems, applications, and infrastructure.
4+ years of experience in AI and data science using Python and big data technologies like Hive, Q, Bedrock, PySpark, Synapse, or Databricks.
Experience with the Amazon AI product tool suite, including SageMaker Studio and Bedrock.
Experience architecting and implementing highly available, scalable, and resilient enterprise cloud environments.
Experience leading architecture, platform engineering, and development teams on enterprise cloud engagements.
Experience training LLMs, knowledge of Big Data solutions, and ability to deploy production applications to AWS (preferred: GCP/Azure experience or certifications).