Enterprise AI Orchestration Architect, Senior Manager

Booz Allen Hamilton; Washington (District of Columbia); In loco; USD 163.000 - 303.000; Tempo pieno

Descrizione del lavoro

Booz Allen Hamilton is seeking an Enterprise AI Orchestration Architect at Senior Manager level in Washington, DC. You will design and deploy reusable agents and intelligent applications, integrating tools, state machines, and model APIs to support enterprise customers.

You will own agent behavior, performance, and validation evidence, working with Platform, Data, and Forward-Deployed Engineering to deliver scalable solutions and robust production readiness.

Competenze

• 10+ years building maintainable applications, APIs and tests with modern software practices.
• Experience integrating large language models into applications and tool calling.
• Expertise in agent orchestration, workflow state, retrieval augmented generation.
• Instrumenting model calls, tool execution, state transitions and traces.
• Developing evaluation datasets and regression tests for task success and safety.
• Design human approvals, tool permissions, input/output validation and fallbacks.
• Proven ability to diagnose failures and distinguish root causes across layers.
• Document interfaces and limitations; collaborate on customer readiness.
• Bachelor's degree required.

Mansioni

• Build reusable agents and intelligent applications for enterprise work.
• Develop agent behavior, orchestration, tool integrations, and evaluation capabilities.
• Translate workflows into tested software using model APIs, retrieval, tool calling, memory, and oversight.
• Instrument execution, maintain evaluation datasets, and improve quality via traces.
• Deliver reusable components, integration contracts, and deployment guidance with teams.
• Own agent behavior and application quality, including evidence to validate them.

Conoscenze

Python

TypeScript

LLM integration

Agent orchestration

Observability

Regression testing

Human oversight

Documentation

Formazione

Bachelor's degree

Strumenti

LangGraph

Semantic Kernel

OpenTelemetry

LangSmith

Langfuse

MCP

Descrizione del lavoro

Enterprise AI Orchestration Architect, Senior Manager

In this role, you'll build reusable agents and intelligent applications that perform enterprise work reliably. You will develop agent behavior, orchestration, tool integrations, and evaluation capabilities that support customer solutions from demonstration through production.

You will translate workflows into tested software using model APIs, retrieval, tool calling, memory, and human oversight. You will instrument execution, maintain evaluation datasets, and improve quality through trace analysis and regression testing. Partnering with Platform, Data, and Forward-Deployed Engineering, you will deliver reusable components, integration contracts, and deployment guidance. You will own agent behavior and application quality, including the evidence needed to validate them.

Join us. The world can't wait.

You Have:

• 10+ years of experience building maintainable applications, APIs, and automated tests using version control and software engineering practices, including proficiency in Python or TypeScript
• Experience integrating large language models into applications, including prompt and context management, structured outputs, and tool calling
• Experience implementing agent orchestration, workflow state, retrieval-augmented generation, and enterprise API integrations
• Experience instrumenting model calls, tool execution, state transitions, and outcomes with logs or distributed traces
• Experience developing evaluation datasets and regression tests for task success, groundedness, safety, tool correctness, latency, and cost
• Ability to design appropriate human approval steps, tool permissions, input and output validation, error handling, and fallback behavior
• Ability to diagnose application failures and distinguish agent behavior defects from data, platform, or customer configuration issues
• Ability to document interfaces and limitations and collaborate on customer readiness and reusable engineering improvements
• Bachelor's degree

Nice If You Have:

• Experience with LangGraph, Semantic Kernel, MCP, OpenTelemetry, LangSmith, Langfuse, or comparable technologies
• Experience with multi-agent coordination, memory design, reusable SDKs, or reference architectures
• Experience with delivering full-stack AI applications or improving production workflows through evaluation and trace analysis

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 $162,800.00 to $303,000.00 (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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.