Forward Deployed Engineer, Orcher

Dipp AI Technologies; Northern, New York (KY, NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Health, dental and vision coverage

Travel and field expenses covered

Company hardware

Product influence

401(k) with company contribution

Job summary

Dipp AI Technologies seeks a hands-on engineer to take customer workflows from discovery to production execution, and to extend Orcher with scalable adapters and secure policies. You will work across identity, data, and platform teams to ensure verifiable decisions and robust deployment patterns.

The role emphasizes first-production support, architecture tradeoffs, and delivering reusable patterns back to the core product while traveling to customer sites as needed.

Qualifications

• Strong software engineering skills and a track 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.

Responsibilities

• 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.

Skills

Strong software engineering

Operating process understanding

Security & architecture credibility

Debugging unfamiliar systems

Communication skills

Judgment to scope

Education

Technical degree or equivalent

Job description

Take one consequential customer workflow from systems-of-record discovery through verified production execution, then turn the pattern into product.

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.