AI/ML Cloud Computing Application Architect

The Opportunity:

Everyone is trying to “harness the cloud,” but not everyone knows how. As a cloud computing application architect, you know how to create a cloud-based technical architecture that meets client needs and takes advantage of cloud capabilities.

You’ll recommend tools and solutions based on your research of the current environment and knowledge of various on-premise, cloud-based, and hybrid resources. You’ll use your experience to guide your team as they help the client overcome their most difficult challenges in the cloud.

We are seeking a Senior AI/ML Architect with 10 years of experience to lead the design and integration of AI/ML solutions within an enterprise cloud platform supporting AWS, Google Cloud, and Azure. This role requires expertise in cloud-native AI/ML services, especially on AWS and Google Cloud, and the ability to architect solutions that both enhance cloud platform operations and deliver AI/ML capabilities to customers.

What You'll Work On:

• Architect AI/ML solutions for cloud platform operations.

• Apply AI/ML to optimize provisioning, scaling, monitoring, cost management, and security across multi-cloud environments.

• Design customer-facing AI/ML services.

• Build and manage offerings such as predictive analytics, NLP, computer vision, and generative AI using cloud-native services.

• Develop reference architectures and patterns, including for AI/ML workloads across AWS, Google Cloud, and Azure, ensuring scalability, resilience, and compliance.

• Integrate cloud-native AI/ML services including AWS such as Sage Maker, Comprehend, Rekognition, Forecast, or Bedrock, Google Cloud, such as Vertex AI, AutoML, Big Query ML, or Generative AI Studio, and Azure, such as Azure Machine Learning, or Cognitive Services.

• Enable MLOps and automation.

• Standardize CI/CD for ML pipelines, implement feature stores, model registries, and automated retraining workflows.

• Design data ingestion, transformation, and storage strategies for structured and unstructured data, leverage data lakes and warehouses.

Join us. The world can’t wait.

You Have:

• 10 years of experience in solution architecture

• 5 years of experience with AI/ML systems

• Experience in AWS and Google Cloud AI/ML services

• Experience with MLOps, containerization, including Kubernetes, and IaC, including Terraform or CloudFormation

• Experience with Python, Tensor Flow, Py Torch, and ML pipeline orchestration tools

• Knowledge of data engineering for AI/ML, including ETL, streaming, and big data frameworks such as Spark or Flink

• Knowledge of Azure ML

• Ability to design secure, compliant AI/ML solutions for enterprise environments

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Bachelor’s degree in Computer Science or Engineering

Nice If You Have:

• Experience with Databricks for large-scale data and ML workflows

• Experience with generative AI and LLM integration using cloud-native services

• Knowledge of responsible AI frameworks and bias mitigation strategies

• Master’s degree in Computer Science, Engineering, or a related field

• AWS Machine Learning, Google Professional ML Engineer, or Azure AI Engineer Associate Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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 application process, 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.

Work Model

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.