Post-Sales AI Deployment Engineer

bah

McLean (VA)

On-site

USD 62,000 - 141,000

Full time

11 days ago

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Benefits offered by this job

Health benefits

Life insurance

Disability benefits

Retirement plan

Tuition assistance

Professional development

Job summary

Booz Allen Hamilton is seeking a Post-Sales Engineer to turn validated AI solutions into working customer deployments in McLean, VA. You will collaborate with customers to implement workflows, integrate enterprise systems, and validate that solutions meet technical criteria.

You will configure environments, instrument deployments, and diagnose complex integration issues across cloud and on-prem environments, ensuring successful handover to Customer Success and operations teams.

Qualifications

Experience delivering customer-facing software or AI implementations from requirements through deployment and technical handover.
Experience in Python or TypeScript and integrating enterprise APIs, authentication, data sources, and business workflows.
Experience developing or adapting agent workflows, model integrations, retrieval-augmented generation, and tool connections.
Experience deploying applications in cloud or enterprise environments and configuring access, secrets, and application security controls.
Experience building customer-specific test and evaluation suites and validating results against agreed quality and performance thresholds.
Ability to implement end-to-end instrumentation and use traces, logs, and metrics to troubleshoot behavior, integrations, latency, and cost.
Ability to prepare deployment and rollback procedures, runbooks, solution inventories, and technical knowledge-transfer materials.
Ability to manage implementation dependencies, communicate limitations, and obtain explicit acceptance of deliverables and support responsibilities.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
Bachelor’s degree

Responsibilities

Turn validated AI solutions into working customer deployments.
Collaborate with customers to implement workflows and integrate enterprise systems.
Adapt reusable agent components and configure customer environments and instrumentation.
Diagnose integration, retrieval, model, and workflow issues.
Establish customer evaluation baselines and prepare deployment materials.
Handover to designated operational owners and Customer Success and return improvements to engineering.