# Scout Global — Forward Deployed Engineer

- Generated: 2026-09-10 07:40:41 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4463433805/
- Provider: LinkedIn
- Posted: approximately 2026-09-10 05:40 AM EDT (from '2 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp
- Applicants: Be among the first 25 applicants
- Work model/location: Remote-first, but candidates must live in the New York City metro area
- Compensation: $155,000-$225,000 OTE with 80/20 split (implied top base approximately $180,000)
- Travel: Not disclosed; customer-facing implementation role
- Positioning track: Technical IC
- Fit outcome: FAIL — 59%

## Direct-match strengths

Enterprise AI consulting, technical workshops, AWS, Python, production GenAI, MLOps, Docker, Kubernetes, executive communication, implementation playbooks, and concurrent customer delivery.

## Hard or material gaps

Hard location conflict: candidates must be in the NYC metro area. Required Java and TypeScript are unsupported, and the implied maximum base is approximately $180,000, below Keith's $200,000 threshold. The customer-facing delivery scope is also substantially more junior (2-5 years) than Keith's level.

## Evidence map

1. Customer-facing GenAI delivery (weight 3, evidence 3/3) — Direct AWS/NorthBay consulting and production AI delivery.
2. Evaluation and observability (weight 3, evidence 3/3) — Direct AI evaluation, monitoring, and production-quality evidence.
3. Python, cloud, Docker, Kubernetes (weight 3, evidence 3/3) — Direct supported hands-on evidence.
4. Java and TypeScript (weight 3, evidence 0/3) — Both are stated together as strong-programming requirements and are unsupported.
5. Multiple customer engagements (weight 2, evidence 3/3) — Direct enterprise consulting and advisory experience.
6. NYC metro residence (weight 3, evidence 0/3) — Keith is based in Boston.
7. Compensation (weight 3, evidence 0/3) — Implied maximum base is below $200,000.
8. Level match (weight 2, evidence 0/3) — The 2-5-year role is materially below Keith's experience.

## Keyword diagnostic

Customer delivery and GenAI overlap is real, but location, required languages, compensation, and level are decisive mismatches.

## Full normalized job description

Forward Deployed Engineer
Hyper-Growth AI Start-up
Location: New York (remote)
Salary: $155k - $225k OTE (80/20)
The Role
We’re looking for a Forward Deployed AI Engineer
to partner directly with enterprise customers as they design, deploy, and scale production-ready AI applications. This is a hands-on, customer-facing engineering role where you'll combine deep technical expertise with strong business acumen to deliver tailored AI solutions, lead complex implementation projects, and help customers maximise the value of their AI investments. While the company is remote-first, candidates should be based in the New York City metro area due to the collaborative nature of the role.
What You'll Be Doing
Partner with enterprise AI and engineering teams to design, implement, and scale Generative AI observability and evaluation solutions.
Build trusted relationships with technical stakeholders and senior business leaders.
Lead technical workshops, architecture discussions, and solution design sessions.
Develop custom integrations, tooling, and workflows to meet customer-specific requirements.
Manage multiple customer projects simultaneously, taking engagements from discovery through successful delivery.
Collaborate closely with Sales, Customer Success, Product, and Engineering teams to deliver exceptional customer outcomes.
Help shape implementation best practices, technical playbooks, and delivery methodologies as the team continues to grow.
Provide strategic technical guidance and share customer feedback to influence future product development.
Who You Are
2-5 years of software engineering experience in a customer-facing or delivery-focused role.
Based in the New York City metro area.
Experience working in fast-paced startup, consulting, or enterprise technology environments.
Strong programming skills in Python, Java and TypeScript.
Experience building or supporting production Generative AI or MLOps solutions.
Knowledge of cloud platforms such as AWS, Azure, or GCP.
Experience with containerisation technologies including Docker and orchestration platforms such as Kubernetes.
Excellent communication skills with the ability to engage both engineering teams and executive stakeholders.
Proven ability to manage multiple concurrent client projects and deliver high-quality technical solutions.
A collaborative problem solver who enjoys tackling complex technical challenges in dynamic environments.
Passionate about AI and excited to work at the forefront of rapidly evolving Generative AI technologies.
*Follow Scout Global for more roles like this*

## Artifact metadata

- Resume: Not generated because the fit gate returned FAIL.
- Cover letter: Not generated because the fit gate returned FAIL.
- LinkedIn note: Not generated for a FAIL role.
- Google Drive used: No