Senior Forward Deployed Engineer

Scrums.com; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Scrums.com seeks a senior engineer to lead customer-facing deployments of applied AI, from identifying business value to building and launching reliable software in production.

The role blends technical discovery, hands-on engineering, architecture, and operational ownership, coordinating delivery across customer teams, software, infrastructure, and AI agents, while raising the deployment team's technical standard.

Qualifications

• 6+ years of professional software engineering experience, including production systems.
• Advanced Python and strong TypeScript or JavaScript production language skills.
• Hands‑on AI/ ML or data‑intensive product deployment in production.
• Strong systems design across APIs, SQL/NoSQL, cloud, security, and observability.
• Knowledge of LLM patterns: retrieval-augmented generation, tools, evaluations, agent orchestration.
• Experience guiding technical discovery with senior stakeholders and independent delivery.

Responsibilities

• Turn discovery with business and technical stakeholders into sequenced plans with measurable outcomes.
• Build production AI systems, agent workflows, data pipelines, integrations, and supporting services.
• Configure agent context, tools, permissions, evaluations, observability, and safeguards.
• Make architecture decisions across models, retrieval, APIs, data stores, cloud services, and customer systems.
• Define evaluation suites and production measures for quality, reliability, security, latency, adoption, and cost.
• Coordinate releases and handover, resolve complex production issues, lead incident response, mentor engineers, and communicate trade-offs and risks.

Skills

Advanced Python

TypeScript

JavaScript

AI deployment

APIs design

SQL/NoSQL

Cloud infrastructure

Security

Observability

LLM patterns

Technical discovery

Job description

Role overview

Lead customer-facing deployments of applied AI, from finding valuable business problems to building and launching reliable software in production. The work combines technical discovery, hands‑on engineering, architecture, and operational ownership. You will coordinate delivery across customer teams, software, infrastructure, and AI agents, and help raise the technical standard of the deployment team.

Responsibilities

• Turn discovery with business and technical stakeholders into sequenced plans with measurable outcomes.
• Build production AI systems, agent workflows, data pipelines, integrations, and supporting services.
• Configure agent context, tools, permissions, evaluations, observability, and safeguards.
• Make architecture decisions across models, retrieval, APIs, data stores, cloud services, and customer systems.
• Define evaluation suites and production measures for quality, reliability, security, latency, adoption, and cost.
• Coordinate releases and handover, resolve complex production issues, lead incident response, mentor engineers, and communicate trade-offs and risks.

Requirements

• At least six years of professional software engineering experience, including responsibility for production systems.
• Advanced Python skills and strong experience with TypeScript, JavaScript, or another production language.
• Hands‑on experience delivering AI, machine learning, data‑intensive, or automation products into production.
• Strong systems design skills across APIs, SQL and NoSQL data stores, cloud infrastructure, security, and observability.
• Practical knowledge of LLM patterns such as retrieval-augmented generation, tool use, structured outputs, evaluations, and agent orchestration.
• Experience leading technical discovery with senior customer stakeholders, plus the ability to work independently in ambiguous settings and deliver maintainable systems.