Enterprise Agentic AI Engineer, Lead

Remote Work:

Hybrid

Job Number:

R0247307

Location:

McLean,VA,US

Enterprise Agentic AI Engineer, Lead

The Opportunity: 

As an experienced engineer, you know that agentic AI is transforming how organizations operate, make decisions, and deliver outcomes at speed. Your ability to design and build practical agentic systems that turn manual workflows into AI-enabled solutions makes you an integral part of transforming Booz Allen’s enterprise business systems. We need your technical depth, product mindset, and problem-solving drive to support Project Keystone.

 

Project Keystone is an enterprise-wide transformation initiative modernizing core business systems across Source‑to‑Pay (S2P), Contract Lifecycle Management (CLM), Enterprise Resource Planning (ERP), and associated reporting and data workstreams. The program drives end‑to‑end process modernization by integrating platforms such as Icertis, Ivalua, and Costpoint to enable scalable, secure, and well‑governed digital capabilities. This effort underpins Booz Allen’s broader readiness strategy enhancing organizational efficiency, strengthening user adoption, and enabling measurable business impact.

 

You will lead complex workstreams spanning agentic AI prototyping, business process modernization, technology implementation, data, reporting, testing, change readiness, and stakeholder engagement. You will collaborate with program leaders, product owners, functional subject matter experts, technical teams, and business stakeholders to define requirements, coordinate delivery activities, manage risks, and maintain alignment across interconnected initiatives. You will also develop executive-ready communications, recommendations, and actionable plans that support informed decision-making and successful program execution.

 

You will be part of a high-performing, cross-functional team operating in a dynamic transformation environment where priorities may shift and multiple efforts run in parallel. Success in this role requires leadership, adaptability, clear communication, strong execution, and ownership of outcomes from planning through implementation. Due to the nature of work performed within this facility, U.S. citizenship is required.

Work with us to modernize critical enterprise capabilities and help shape the future of how Booz Allen operates.

Join us. The world can't wait.

You Have:  

• 7+ years of experience supporting enterprise transformation, technology modernization, AI-enabled solutions, program delivery, or business process improvement initiatives

• 5+ years of experience supporting AI, machine learning, intelligent automation, data analytics, or emerging technology initiatives

• 5+ years of experience managing or supporting complex projects or workstreams involving cross-functional business and technical stakeholders

• 3+ years of experience designing, developing, evaluating, or implementing agentic AI applications in prototype or production environments

• Experience identifying, tracking, and managing program risks, issues, dependencies, decisions, milestones, and resource needs

• Experience implementing agent orchestration frameworks, designing and implementing agent loops, tool-calling workflows, and multi-agent interaction patterns

• Knowledge of LLM platforms and providers, including OpenAI and Databricks

• Knowledge of prompt engineering techniques for reliability, controllability, and task performance

• Knowledge of MCP usage and development, including integration of external tools and capabilities

• Bachelor’s degree in a technical field such as Computer Science, Software Engineering, Data Science, or Artificial Intelligence

Nice If You Have:  

• Experience supporting large-scale enterprise transformation or technology modernization programs

• Experience supporting ERP, procurement, contract management, finance, or back-office transformation initiatives

• Experience with enterprise platforms such as Icertis, Ivalua, or Costpoint

• Experience applying Agile, hybrid, or traditional program and project management methodologies

• Experience supporting user acceptance testing, deployment planning, operational readiness, training, communications, or organizational change management

• Experience with data governance, reporting modernization, system integration, or business intelligence initiatives

• Knowledge of controls, compliance, cybersecurity, or governance considerations within enterprise system implementations

• Ability to use data and performance measures to evaluate adoption, operational efficiency, and business impact

• Master's degree

• Project management, Agile, change management, or enterprise platform Certification

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 $128,700.00 to $292,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

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.

• Remote: 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.

• Hybrid: 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.

• Onsite: 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.

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.