[Hiring] AI Forward-Deployed Engineer @Scale Army Careers

Role Description

This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.

The AI Forward-Deployed Engineer will build the layer underneath existing prototypes, including:

• Where data lands
• How it gets there
• Who can access it
• How it continues running when nobody is watching

The role will work directly with the people who own the problems being addressed, including:

• M&A team
• Marketing lead
• COO
• CFO
• Outsourced IT provider

The first work will focus on M&A and marketing.

Location: Fully Remote (Work from Home) | Must overlap US Eastern business hours through 5:00 PM ET

Key Responsibilities

• M&A Tooling
  • Build the diligence data room where a seller uploads articles of incorporation, financials, and reports against a defined checklist.
  • Build the notification system that identifies when a data room is complete or stalling.
  • Build the target-analysis tool using a target practice’s financial and business information to produce the summary used by the deal team.
  • Support the target-identification tool that helps identify practice owners worth approaching.
• Priority Tracker
  • Connect the priority tracker so meeting transcripts become tentative tasks.
  • Implement a human approval step before anything is added to the tracker.
  • Support the priority tracker as a department-agnostic tool used across the organization.
• Brand Rollout & Asset Generation
  • Build a live brand rollout tracker covering eight to ten new specialty brands.
  • Track each brand against the items it needs, including name, logo, colour system, website, signage, patient-facing collateral, and ad creative.
  • Include an owner and status for every item.
  • Track what is blocking the launch of each brand.
  • Build the brand asset engine to generate ad and design creative at volume based on each brand’s guidelines.
  • Generate assets in the formats required by each channel.
  • Include human approval before anything is published.
• Systems & Integrations
  • Build REST API integrations, including OAuth2 flows, pagination, rate limits, retries, and idempotency.
  • Work with the outsourced IT provider to obtain the required access without disrupting how the environment is run.
  • Work with Microsoft 365 as a platform, including Graph API, SharePoint document libraries, Power Automate, Entra ID app registrations, and permission scopes.
  • Use Git and a CI pipeline so tests run before things ship.
• Development & Cloud Deployment
  • Write, review, and debug production code using Python or TypeScript.
  • Work with SQL, including schema design, joins, aggregation, window functions, and reconciling two sources that disagree.
  • Work with Postgres, SQL Server, or Azure SQL.
  • Build front ends using React or an equivalent technology.
  • Deploy to cloud environments, with Azure preferred, including App Service or Static Web Apps, Functions, Azure SQL, and Key Vault.
  • Apply transferable AWS or GCP experience where applicable.
• LLM & Document Processing
  • Build with LLM APIs in production.
  • Work with structured JSON output against a schema, function or tool calling, chunking and retrieval over documents, and prompt versioning.
  • Process PDFs and spreadsheets at volume.
  • Use OCR where needed.
  • Extract structured fields from financial statements.
  • Use AI tooling as part of normal work while understanding where it should not be trusted.
• Security
  • Apply secrets management and least-privilege service accounts.
  • Understand what information may not be logged.
• Future Work
  • Work on the cash-flow forecast and intercompany reconciliation after the FP&A platform is live.

Qualifications

• 3+ years of experience building internal tools, integrations, or data plumbing, rather than only front-end work.
• Experience writing, reviewing, and debugging production code using Python or TypeScript.
• Experience with SQL.
• Experience with REST API integrations.
• Experience building front ends using React or an equivalent technology.
• Cloud deployment experience, with Azure preferred.
• Experience using Git and a CI pipeline.
• Experience working with Microsoft 365 as a platform.
• Experience building with LLM APIs in production.
• Experience with document processing at volume.

Skills

• Professional-level Python or TypeScript.
• SQL skills covering schema design, joins, aggregation, window functions, and data reconciliation.
• Experience with Postgres, SQL Server, or Azure SQL.
• Knowledge of OAuth2 flows, pagination, rate limits, retries, and idempotency.
• Ability to build front ends using React or an equivalent technology.
• Experience with Azure App Service or Static Web Apps, Functions, Azure SQL, and Key Vault.
• Experience with Microsoft Graph API, SharePoint document libraries, Power Automate, Entra ID app registrations, and permission scopes.
• Experience with structured JSON output against a schema, function or tool calling, document chunking and retrieval, and prompt versioning.
• Experience with PDF and spreadsheet parsing, OCR where needed, and extracting structured fields from financial statements.
• Knowledge of secrets management and least-privilege service accounts.
• Ability to work from a written specification without a senior engineer and identify when the specification is wrong.
• Ability to explain technical decisions to a CFO in plain language.
• Ability to ship something small in the first week rather than designing for a quarter.
• Experience using AI tooling as part of normal work and understanding where it should not be trusted.

Nice to Have

• Experience with M&A tooling, including data rooms, deal pipelines, and document collection.
• Healthcare exposure, including an EMR such as eClinicalWorks, Epic, or Athena, or practice-management and revenue-cycle data.
• Experience with document extraction and summarization at volume, including financial statements, contracts, and reports.
• Experience with multi-entity finance.
• Experience with creative or marketing operations at volume, including digital asset management, brand systems, or generating campaign creative in multiple sizes and formats.
• Experience with Meta or Google ad platform APIs and their asset specifications.
• Experience with marketing systems such as HubSpot, a CMS, or website tooling for multi-brand environments.
• Experience working inside a HIPAA boundary.
• Vector search and embeddings.
• MCP servers.
• Power Apps.
• Queue or job scheduling.
• Docker.

What Success Looks Like

Within the first 90 days, the work will focus on:

• Building the diligence data room and notification system.
• Building the target-analysis tool.
• Supporting the target-identification tool.
• Connecting the priority tracker to meeting transcripts with a human approval step.
• Building the brand rollout tracker for eight to ten specialty brands.
• Building the brand asset engine with human approval before publication.
• Working with the outsourced IT provider to obtain required access without disrupting how the environment is run.

Opportunity

The AI Forward-Deployed Engineer will sit with the people who own the problems being addressed, including the M&A team, marketing lead, COO, and CFO. The first 90 days will focus on M&A tooling and the marketing build-out. Once the FP&A platform is live, work will later include the cash-flow forecast and intercompany reconciliation.

Application Process

To be considered for this role these steps need to be followed:

• Fill in the application form
• Record a video showcasing your skill sets