Field Engineer

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

This is a remote position.

Location: Remote US/Canada (Must be able to work EST timezone)

Core focus: Field engineering solution delivery platform deployment managed services enterprise AI/automation enablement.

About us

Are you ready to help shape the future Our company is building the next generation of AI solutions and were looking for bold curious minds who want to make an impact. We arent just following trends were creating them. As a growing firm dedicated to the implementation of modern leading-edge artificial intelligence we offer a place where your ideas matter your expertise is valued and your work creates real change for real people.

You will join a small but fast-moving collaborative team that thrives on innovation. Every project is an opportunity to explore new technologies learn rapidly and build new skills. We encourage creative thinking strategic problem solving and hands-on involvement at every level. Youll have the freedom and support to push boundaries and build something extraordinary.

We are looking for a Field Engineer who can lead delivery for enterprise clients ensuring their environments are live reliable and scaling on top of our AI and automation solutions. You will own hands-on implementation and integration work partner closely with the Head of Field Engineering and collaborate with both the CTO (technical standards and solution readiness) and COO (delivery quality and scale) to make sure every client engagement is executed smoothly end to end.

Requirements

What Youll Do

Implementation & integration
- Stand up production environments for the platform.
- Configure identity (SAML/OIDC/SCIM) networking (VPCs peering VPN private connectivity) data pipelines and event streams (Kafka/Kinesis/Pub/Sub).
Solution buildouts
- Design and deliver workflows connectors and APIs (REST/GraphQL).
- Define data mappings transformations and robust error-handling patterns.
IaC and releases
- Ship repeatable deployments using Terraform and Helm.
- Contribute to golden path modules runbooks and checklists.
- Plan and execute cutovers and rollbacks.
Observability and reliability
- Instrument services with metrics logs and traces.
- Define SLOs set up alerting and dashboards and drive hypercare after go-live.
- Participate in incident response and postmortems.
Security and compliance
- Run enterprise security reviews (data residency encryption RBAC/least privilege).
- Produce customer-facing security and compliance artefacts.
Customer leadership
- Lead technical workshops UAT performance/load testing and go-live activities.
- Triage issues with clear root cause analysis and actionable remediation plans.
Targeted presales support
- Occasionally support scoped demos POCs and implementation estimates.
Feedback to product
- Feed deployment learnings into product roadmap architecture and documentation.
- Focus on improving time-to-value on-time go-lives SLO/SLA adherence and CSAT.

What You Bring

510 years in field/solutions/implementation engineering for B2B platforms (ideally data/AI/automation).
Hands-on experience with at least two major clouds (AWS/GCP/Azure) plus Kubernetes Terraform and containerized deployments.
Strong integration experience with REST/GraphQL APIs webhooks event streams and secure secrets/config management.
Practical experience with SAML/OIDC/SCIM and cloud networking: VPC design peering VPN private connectivity and firewall policies.
Observability mindset with metrics/logs/traces (e.g. Prometheus Grafana OpenTelemetry) and SLO-driven operations.
Proficiency in Python and/or TypeScript/ for automation tooling and integration glue.
Comfortable working with PostgreSQL and event-driven patterns for reliable data flows.
Excellent customer-facing communication clear documentation and calm execution during cutovers and escalations.
Bonus: exposure to LLM/RAG pipelines vector databases and production MLOps.

Benefits

Why Join

Define the standards tooling and team that make AI work at scale for large customers.
Work from zero-to-one and then scale globally.
Join a culture of innovation with strong engineering product and sales partners.

How to Apply

If youre excited to design and lead a implementation apply via LinkedIn.

Required Skills:

What Youll Do Implementation & integration Stand up production environments for the platform. Configure identity (SAML/OIDC/SCIM) networking (VPCs peering VPN private connectivity) data pipelines and event streams (Kafka/Kinesis/Pub/Sub). Solution buildouts Design and deliver workflows connectors and APIs (REST/GraphQL). Define data mappings transformations and robust error-handling patterns. IaC and releases Ship repeatable deployments using Terraform and Helm. Contribute to golden path modules runbooks and checklists. Plan and execute cutovers and rollbacks. Observability and reliability Instrument services with metrics logs and traces. Define SLOs set up alerting and dashboards and drive hypercare after go-live. Participate in incident response and postmortems. Security and compliance Run enterprise security reviews (data residency encryption RBAC/least privilege). Produce customer-facing security and compliance artefacts. Customer leadership Lead technical workshops UAT performance/load testing and go-live activities. Triage issues with clear root cause analysis and actionable remediation plans. Targeted presales support Occasionally support scoped demos POCs and implementation estimates. Feedback to product Feed deployment learnings into product roadmap architecture and documentation. Focus on improving time-to-value on-time go-lives SLO/SLA adherence and CSAT. What You Bring 510 years in field/solutions/implementation engineering for B2B platforms (ideally data/AI/automation). Hands-on experience with at least two major clouds (AWS/GCP/Azure) plus Kubernetes Terraform and containerized deployments. Strong integration experience with REST/GraphQL APIs webhooks event streams and secure secrets/config management. Practical experience with SAML/OIDC/SCIM and cloud networking: VPC design peering VPN private connectivity and firewall policies. Observability mindset with metrics/logs/traces (e.g. Prometheus Grafana OpenTelemetry) and SLO-driven operations. Proficiency in Python and/or TypeScript/ for automation tooling and integration glue. Comfortable working with PostgreSQL and event-driven patterns for reliable data flows. Excellent customer-facing communication clear documentation and calm execution during cutovers and escalations. Bonus: exposure to LLM/RAG pipelines vector databases and production MLOps.

This is a remote position.Location: Remote US/Canada (Must be able to work EST timezone)Core focus: Field engineering solution delivery platform deployment managed services enterprise AI/automation enablement. About us Are you ready to help shape the future Our company is building the next gener...