We are looking for a Senior Forward Deployed Engineer to lead customer-facing applied AI deployments through the Scrums.com talent network. You will work with business and technical leaders to identify high-value problems, design the solution, build the critical software and take it safely into production. You will use the Scrums.com AI agent harness to control context, tools, permissions, evaluations and model behaviour, and our Software Engineering Orchestration Platform to coordinate delivery across people, agents, infrastructure and software workflows
Responsibilities
- Lead technical discovery with customer stakeholders and convert ambiguous business problems into sequenced, measurable deployment plans.
- Design and build production applied AI systems, agent workflows, data pipelines, integrations and supporting services.
- Own the configuration of context, tools, permissions, evaluations, observability and guardrails in the Scrums.com AI agent harness.
- Orchestrate releases, telemetry, engineering work and operational handover through the Scrums.com Software Engineering Orchestration Platform.
- Make architecture decisions across models, retrieval, APIs, data stores, cloud services and customer systems.
- Establish evaluation suites and production metrics for quality, reliability, security, latency, adoption and cost.
- Diagnose complex production issues and lead incident response for the customer workflows you own.
- Mentor engineers, review code and raise the technical standard of the deployment team.
- Communicate trade-offs, progress and risk to both engineering teams and executive stakeholders.
Experience and education
- 6+ years of professional software engineering experience, including ownership of 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 application patterns such as retrieval-augmented generation, tool use, structured outputs, evaluations and agent orchestration.
- Experience leading technical discovery and working directly with senior customer stakeholders.
- Ability to operate independently in ambiguous, fast-moving environments and leave behind stable, maintainable systems.