Open role
Forward Deployed Engineer, Orcher
Take one consequential customer workflow from systems-of-record discovery through verified production execution, then turn the pattern into product.
Team Customer engineering
Location New York, NY (travel expected)
Type Full-time
Level Senior
Compensation $215,000 – $280,000 base + meaningful equity + benefits, with travel fully covered
What we are building
Dipp AI Technologies is on a mission to close the gap between AI’s advanced reasoning capabilities and an enterprise’s ability to trust it with real work: verifiable, cost-disciplined, and in control of its own data.
We build Orcher, the agentic control plane that enforces Human-in-the-Role across seven components, and Dipp Intelligence, our Enterprise Superintelligence solution that compounds on verified execution.
Work directly with the founding team, building for customers from startups to Fortune 100 companies across industries. Help enterprises adopt frontier models, open weights and new compute providers without surrendering authority, economics or data control.
About the role
Forward deployment at Dipp AI begins with a real operating process, not a generic proof of concept. You might work with a claims team to verify decisions against policy and member records, a bank to bind an agent's actions to delegated authority, or a manufacturer to control what data can leave a plant or region.
You will map the workflow as it actually operates: the people who hold authority, the systems that contain truth, the decisions that require verification, the data boundaries that cannot move and the economic ceilings that make production use sustainable. You will then configure and extend Orcher so the workflow can execute with named accountability and an exportable evidence trail.
This is a hands-on engineering role, not implementation project management. You will write integration code, investigate customer environments, make architecture tradeoffs with security and platform leaders, support the first production runs, and bring reusable patterns back into the core product. The best field insight becomes a stronger interface, policy primitive, connector or deployment method for every customer after it.
What you will do
- Discover consequential workflows with business owners, operators, security teams and platform engineers, then define a narrow production entry point
- Integrate Orcher with identity providers, model gateways, enterprise APIs, data platforms and systems of record
- Translate delegated authority, approval limits, data-residency rules and cost budgets into enforceable runtime policy
- Build and test customer-specific adapters while identifying which patterns belong in the core product
- Lead production readiness, failure-mode reviews, evidence validation and the first controlled launches
- Write deployment records and feed field evidence directly into the roadmap with the founding team
- Travel to customer sites when discovery, security review or launch work is best done in person
What we look for
- Strong software engineering skills and a record of shipping integrations into complex enterprise environments
- Ability to understand an operating process, identify its sources of truth and express its controls precisely
- Credibility in architecture discussions with security, identity, data, infrastructure and application teams
- Comfort debugging unfamiliar systems across APIs, networks, permissions, data models and deployment environments
- Excellent written and verbal communication with both technical and operational stakeholders
- Judgment to reduce scope without reducing the integrity of the control being delivered
Experience
- 5+ years in forward-deployed, solutions, platform, integration or enterprise software engineering
- Owned a customer deployment from discovery through production and post-launch operation
- Experience with identity, policy, data infrastructure, AI platforms or regulated workflows is especially relevant
- Willingness and ability to travel to customer sites as deployments require
Education
- Degree in a technical field or equivalent evidence of engineering depth through shipped production work
- Customer-facing engineering experience is weighted as heavily as formal credentials.
Compensation and benefits
- Equity with a standard four-year vest and early-stage upside
- Health, dental and vision coverage
- Customer travel and necessary field expenses covered
- Company-provided hardware and technical learning budget
- Direct product influence through close work with customers and the founding team
- 401(k) with company contribution and an annual learning budget.
How we hire
- 01Conversation with the founding team about your field experience and the environments where you do your best work
- 02Technical deep dive into an enterprise integration or deployment you personally owned
- 03Customer scenario exercise covering workflow discovery, control design and production tradeoffs
- 04Final discussion on travel, scope, working style and mutual expectations
- 05References and offer.