招聘
福利待遇
•Healthcare
•401(k)
•Learning
•Flexible Hours
必备技能
Machine Learning
Deep Learning
Generative AI
Python
AWS
GCP
Kubernetes
Docker
AI and ML Solutions Architect, Senior
The Opportunity:
Design and implement effective artificial intelligence (AI) solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization’s strategies, business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision, and mentor or supervise employees in both company and technical competencies.
You Have:
- 8 years of experience with data science, machine learning (ML), deep learning, or AI
- Experience designing, developing, and deploying Generative AI, AI Agents, Large Language Models (LLMs), and Reinforcement Learning, and training and optimizing computer vision models
- Experience building and scaling AI-ready CI/CD pipelines such as MLOps or IaaS, leveraging Dev Sec Ops tools to manage the end-to-end deployment of AI prototypes into highly regulated production environments while maintaining high availability and security compliance
- Experience packaging and framing technical R&D outputs into enterprise-grade offerings, ensuring AI solutions are structured for governance, security compliance, and seamless alignment with existing business workflows
- Knowledge of both AWS and GCP cloud platforms, and their AI services
- Knowledge of the AI/ML development lifecycle, and common LLM and Agent AI design patterns, including Lang Graph and Open AI SDK
- Ability to develop solutions using technologies or tools, including Kubernetes, Docker, Terraform, Helm, Linux, AWS Cloud Services such as Lambda, DynamoDB, S3, SageMaker, CloudWatch, and Bedrock, and GCP Cloud Services such as Vertex AI, Gemini, Cloud SQL, Vertex AI, and Big Query
- Ability to translate complex AI concepts into actionable business insights for senior-level leadership and operational end-users, facilitating informed decision-making and project buy-in
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor’s degree in a CS, Engineering, or Data Science field
Nice If You Have:
- Experience with Edge deployments and optimization strategies, including quantization, pruning, and knowledge distillation
- Experience with MLOps for production and ML workloads
- Experience working with cybersecurity teams to develop and review technical documentation and security control implementation required to achieve and maintain ATO
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.
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关于Booz Allen Hamilton

Booz Allen Hamilton
PublicBooz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.
10,001+
员工数
McLean
总部位置
$4.2B
企业估值
评价
3.8
10条评价
工作生活平衡
4.2
薪酬
2.8
企业文化
4.3
职业发展
2.5
管理层
3.7
72%
推荐给朋友
优点
Supportive management and colleagues
Good work-life balance and flexibility
Diverse and interesting projects
缺点
Low or non-competitive compensation
Limited growth and advancement opportunities
Long hours during peak projects
薪资范围
26个数据点
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Data Engineer
1份报告
$149,500
年薪总额
基本工资
$115,000
股票
-
奖金
-
$149,500
$149,500
面试经验
7次面试
难度
2.7
/ 5
时长
21-35周
录用率
43%
体验
正面 29%
中性 28%
负面 43%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Hiring Manager Interview
5
Team Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
Culture Fit
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