Forward Deployed AI Engineer

DataStrict, Inc.; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

DataStrict is seeking a Forward Deployed AI Engineer to turn our platform into a customer-ready solution within highly regulated environments. You will own deployments end to end, integrating identity, data, and security tooling, while translating governance requirements into concrete, auditable policies.

You will collaborate with customers and internal teams to design and implement scalable deployments, advise on best practices, and travel to customer sites as needed to ensure success.

Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field, or equivalent production shipping experience.
• 6+ years of software engineering, including customer-facing or deployment-heavy roles.
• Strong fundamentals with Python and at least one of Go, TypeScript, or Java.
• Experience integrating software into enterprise environments: REST/gRPC, OAuth/OIDC, SSO, containers, Kubernetes, cloud (AWS/GCP/Azure).
• Understanding of modern AI systems: LLMs, agents, RAG, and related tooling.
• Strong customer-facing communication and ability to travel up to 30%.

Responsibilities

• Own customer deployments end to end from integration to production trusted systems.
• Integrate DataStrict into complex enterprise environments: identity providers, data platforms, model stacks, security tooling.
• Translate governance and compliance requirements into concrete policies and verifiable implementations.
• Work through real-world problems across the stack in production-like contexts with tight timelines.
• Build integrations, connectors, SDKs, and tooling to speed deployments and repeatability.
• Be the technical voice in architecture reviews, security assessments, and go-live decisions.
• Feedback field signals to product/engineering to close gaps in the roadmap.
• Set deployment playbooks, reference architectures, and reusable patterns for the team.

Skills

Python

Go

TypeScript

Java

REST APIs

Education

Bachelor's/Master's/PhD in CS or related

Tools

Kubernetes

Docker

OAuth/OIDC

LangChain

Vector databases

Job description

As a Forward Deployed AI Engineer, you're the person who turns DataStrict from a product into a working part of a customer's world. You'll sit with some of the largest, most regulated companies on earth - banks, hospitals, insurers, government agencies - and get our platform running inside their systems, wired into their identity, their data, and the specific rules their regulators hold them to.

This is deep, hands-on engineering with real people on the other side of the table. You'll design integrations, write the policies that encode a customer's actual governance requirements, work through the edge cases that only surface in a real production environment, and build whatever tooling it takes for a deployment to succeed. When something the product can't do yet stands between a customer and success, you'll build the bridge - and carry that signal back to the core engineering team so the product gets better for everyone.

It's equal parts engineer, translator, and trusted advisor. One day you're deep in an integration and a stack trace; the next you're across the table from a Chief Risk Officer, turning what they're accountable for into controls that actually run. If you love owning a customer's success end to end - technically and personally - and want your work to matter where the stakes are highest, this is that role.

What you'll do

• Own customer deployments end to end, from the first integration to a production system the customer trusts and relies on.
• Integrate DataStrict into complex enterprise environments: identity providers, data platforms, model and agent stacks, and existing security tooling.
• Translate a customer's governance and compliance requirements into concrete, working policies - and prove they do what the customer's auditors need.
• Work through hard, real-world problems across the stack, often in environments you can't fully see and under timelines that matter to the customer.
• Build the integrations, connectors, SDKs, and internal tooling that make each deployment faster and more repeatable than the last.
• Be the technical voice the customer trusts, in architecture reviews, security assessments, and the room where they decide to go live.
• Carry hard-won field signal back to product and engineering, so the gaps you hit become the roadmap that closes them.
• Set the bar for how we deploy: playbooks, reference architectures, and patterns the whole team can reuse.

What we're looking for

• A Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field - or equivalent experience shipping software in production.
• 6+ years of software engineering, including real time in customer-facing or deployment-heavy roles (forward-deployed, solutions, or platform / integration engineering).
• Strong engineering fundamentals in Python and at least one of Go, TypeScript, or Java, and the ability to move quickly through an unfamiliar codebase or system.
• Hands-on experience integrating software into enterprise environments: REST and gRPC APIs, OAuth / OIDC and SSO, containers and Kubernetes, and a major cloud (AWS, GCP, or Azure).
• A working understanding of modern AI systems - LLMs, agents, RAG, and the tooling around them (the OpenAI and Anthropic APIs, LangChain, vector databases) - enough to integrate and reason about them, even if you don't train them.
• Genuine comfort in front of customers: you can lead a technical conversation, earn a skeptical stakeholder's trust, and stay calm when a deployment is on the line.
• Excellent communication skills - you can move between a stack trace and a boardroom and be credible in both.
• Willingness to travel to customer sites when it counts (up to ~30%), including regulated and occasionally air-gapped environments.