Forward Deployed Engineer, Agentic AI
Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 11, 2026.
SurrealDB is on the lookout for experienced engineers to join our bench of Forward Deployed Engineers, working embedded with enterprise customers to design, deploy and scale SurrealDB and SurrealDB Agent Memory in production. In this role, you will bring strength in agentic AI engineering.
As a Forward Deployed Engineer, you will work directly inside a customer’s engineering team, turning architecture into running production systems and leaving their team able to own the platform. You will report into a SurrealDB engineering manager and work closely with our engineering and customer teams.
About this engagement
- Contract role, starting in November or December 2026 and running for around three months, full time
- Open to applicants based in the UK or the US
- Working US Eastern hours
- You will work on customer-provided equipment and complete a background check before starting
- Occasional on-site travel may be required
- Our client will make the final selection. If you are not selected for this particular engagement, we will consider you for our bench of approved contractors for future
What you'll be doing
- Ownership for hands-on implementation work alongside the customer's engineers, from architecture through to go-live
- Responsible for SurrealDB data modelling, deployment on Azure, data pipelines and migration
- Leading on agent memory implementation, retrieval design and agent orchestration (e.g. Azure OpenAI)
- Building evaluation, guardrails, observability and performance tuning into production systems
- Documenting architecture decisions, progress and time for weekly status reporting
- Contributing to knowledge transfer through pair programming, reviews and workshops
About you
- In-depth hands-on knowledge of SurrealDB (community contributors and SurrealDB Ambassadors are encouraged to apply)
- Proven experience delivering AI / Agentic systems and / or cloud data platforms in production
- Strong technical background in data modelling, cloud deployment (ideally Azure) and performance optimisation
- Experience working embedded in a customer or client engineering team
- Ability to clearly explain technical decisions to engineers and stakeholders
- Familiarity with agent memory, agent frameworks, retrieval (RAG) and evaluation workflows is a strong plus
The customer owns their build, production operations and go-live decisions; you guide, build alongside and transfer knowledge. Production issues go through SurrealDB Support as tickets, so engagement time stays focused on delivery.
What you'll learn
- In-depth SurrealDB and SurrealDB Agent Memory, certified by our Engineering team
- How enterprise teams take agentic AI from pilot to production
- A pathway into future SurrealDB engagements and roles
We understand that each candidate brings a unique set of skills and experiences, and we encourage applicants to apply even if you do not meet every qualification listed in the job description.