We are looking for a Principal Forward Deployed Engineer to lead Scrums.com's most complex and strategically important applied AI deployments. You will operate across executive advisory, product strategy, architecture and hands-on engineering. You will frame the customer problem, define the production path, resolve the hardest technical constraints and create a repeatable deployment model for the team. You will shape how enterprises use the Scrums.com AI agent harness and Software Engineering Orchestration Platform to deploy governed AI across software delivery and critical business operations.

Responsibilities

Lead executive and technical discovery for complex enterprise programmes, identifying where applied AI can create measurable operational value.
Define the target architecture, deployment strategy, governance model and technical success measures for multi-team AI programmes.
Design and, where necessary, build the highest-risk components across agents, models, data, integrations, infrastructure and security.
Set standards for context, tool authority, permissions, evaluations, guardrails and observability within the Scrums.com AI agent harness.
Use the Scrums.com Software Engineering Orchestration Platform to coordinate delivery across customer teams, Scrums.com engineers, AI agents and technology partners.
Guide model and vendor selection while preserving customer control over data, infrastructure, performance and cost.
Review architectures, unblock critical incidents and make decisions where reliability, security or regulated-industry requirements are material.
Develop reusable deployment patterns, reference architectures and engineering practices that improve outcomes across customers.
Mentor senior engineers and act as a trusted technical counterpart to CTOs, CIOs and heads of engineering.
Partner with Scrums.com product leaders to turn field insight into platform and AI agent harness improvements.

Experience and education

10+ years of professional software engineering experience with a track record of leading complex production programmes.
Deep expertise in distributed systems, data platforms, cloud architecture or machine learning systems, combined with strong hands-on coding ability.
Demonstrated experience taking AI, machine learning or data-intensive products from ambiguous requirements into reliable production use.
Expert knowledge of system architecture, APIs, security, observability, data governance and enterprise integration patterns.
Strong command of modern applied AI patterns, including agent orchestration, retrieval, evaluation, model routing, tool permissions and human oversight.
Experience advising executives and leading engineering decisions across multiple teams or organisations.
Excellent written and verbal communication, with the judgement to simplify complexity without hiding risk.
Experience in financial services, insurance, healthcare, telecommunications, government or another regulated environment is advantageous.