Forward Deployed Engineers for Claude
A senior Trackmind engineer joins your team, learns how the work gets done, and builds Claude into it.
Moving from AI Hype to Business Outcomes
Most teams adopt Claude, see the potential, and then hit a wall. Instead of having dedicated technical help, business users are left trying to build and troubleshoot complex workflows on their own.
That is where a Forward Deployed Engineer comes in. They embed right alongside your team to handle the integrations, data pipelines, and technical build so your people can focus on doing the work that creates business value instead of trying to be tech experts.
A Week with a Forward Deployed Engineer
Our engineers operate on a rapid execution cadence designed to deliver immediate results without disrupting your existing operations. In a typical week, your Forward Deployed Engineer shadow-maps active workflows to pinpoint operational bottlenecks, builds and deploys custom connectors to integrate your data into Claude, and evaluates live results directly with your team. Every insight gained from live use is applied immediately, continuously optimizing performance and keeping your AI workflows aligned with your changing business priorities.
Flexible Engagement Models
Team-Wide Deployment
Embed a Forward Deployed Engineer directly within an operational unit to build and maintain core daily workflows.
Focus: Operations & Scale
Executive Enablement
AI Assist Program
Pair a Forward Deployed Engineer directly with an individual leader to establish a high-impact proof of concept around daily priorities.
Focus: Strategy & Blueprint
How It Works
Every engagement starts with one workflow and grows from there.
Workflow Mapping
Your Forward Deployed Engineer spends the first few days working alongside your functional teams to analyze current processes, map data flows, and establish required decision guardrails.
System Integration
The engineer builds custom connectors, data pipelines, and Claude workflows directly inside your existing enterprise stack, including Salesforce, SAP, Snowflake, or proprietary databases.
Scaled Ownership
As your business processes evolve, the engineer adjusts the underlying architecture and trains your team for long-term ownership, allowing you to expand engineering capacity month by month.
Enterprise Use Cases
These are examples of high-impact operational workflows where Forward Deployed Engineers drive measurable ROI. If your specific operational process isn’t listed below, our engineers design and deploy custom logic tailored to your unique business operations.
Sales and Revenue Operations
Accelerating commercial cycles by parsing RFPs, extracting account history from CRMs, and drafting first-pass quotes for team review.
Document and Spec Verification
Automating compliance by checking supplier certificates, technical specs, and invoices against internal standards, flagging mismatches for explicit sign-off.
Cross-System Integration
Eliminating manual data entry by engineering seamless data pipelines across core platforms like SAP, Salesforce, Veeva, and Snowflake.
R&D and Claude Science
Embedding engineers alongside computational teams to connect Claude Science to lab databases, HPC clusters, and validated research pipelines.
Standard Operating Procedures
Codifying institutional knowledge, complex rules, and edge cases into structured workflows that Claude executes step by step.
Human-in-the-Loop
Every workflow our engineers build has sign-off points. Claude does the gathering, cross-checking, and drafting. Anything that writes to a live system or goes out to a customer waits for a person to approve it.
Forward Deployed Engineers in Practice
Precision BioSciences
Trackmind’s AI Foundations program and an embedded Forward Deployed Engineer took Precision BioSciences from initial Claude access to organization-wide fluency.
- 90%+of the organization trained on Claude Cowork
- Ongoingembedded engineering model established
Embedded AI Engineer: Why Embedding Beats Handoff
An agentic workflow can pass every test and still be wrong for the business, because the judgment that makes it right was never written into the spec. Embedding is the only place that judgment can be read.
Read on Signal →Frequently Asked Questions
How is a Forward Deployed Engineer different from a consultant?
A consultant usually studies a process and hands over a recommendation. A Forward Deployed Engineer embeds with your team to build, deploy, and refine production workflows inside your existing systems.
Do we need our own internal engineering team?
No. Your Forward Deployed Engineer handles the technical build and integration. It helps to have an internal contact to grant system access, and we train whoever will own the workflows day to day.
Is the engineer deployed on-site or remotely?
We support on-site, remote, or hybrid arrangements based on operational needs. Many teams host an engineer on-site for the initial mapping session before transitioning to hybrid or remote execution.
How do embedded engineers access our infrastructure?
Forward Deployed Engineers operate under your organization’s security policies, using single sign-on (SSO), VPNs, and role-based access control (RBAC) granted directly by your IT team.
How is the engagement priced?
Engagements operate on a flexible monthly capacity model. You start with the dedicated engineering capacity needed for a single high-impact workflow, expanding capacity as new processes and teams are added.
Which enterprise systems can you integrate with?
We integrate with core enterprise platforms, including CRMs (Salesforce, HubSpot), ERPs (SAP, Oracle), data platforms (Snowflake, Databricks), and specialized tools (Veeva, Benchling). If a system has an API or database access, we can connect Claude to it.
Put an Engineer on Your Team
Tell us which process is eating your team’s week, and we’ll talk through what an embedded engineer would build first.