AI Solutions Engineer - Singapore
Originally posted 22 September 2026 by the employer — open 0 days.
About the role
This role involves designing and delivering AI agents and assistants to solve operational problems for internal business teams, with a strong focus on solutioning and integration design.
What you'll do
- Translate ambiguous business problems into clear technical designs, identifying data sources and integration points.
- Assess whether use cases are best served by custom-built agents or by configuring enterprise agent-builder platforms.
- Design how new agents will integrate with existing systems, APIs (e.g., Graph API), scheduled jobs, data platforms, and chat surfaces (e.g., Slack).
- Design access control and data permission models (e.g., Databricks ACLs, Unity Catalog) for new solutions.
- Build backend integrations and automation using Python, REST/Graph APIs, and cron-based scheduling.
- Integrate LLM observability and evaluation tooling (e.g., LangSmith) to monitor groundedness, quality, and cost in production.
What you'll need
- 2–4 years' experience building applied AI/software solutions in a hands-on engineering role.
- Strong Python skills; comfortable designing and consuming REST/Graph APIs.
- Experience translating business requirements into technical solution designs.
- Working knowledge of LLM/agent frameworks and observability tooling (e.g., LangSmith, LangGraph, or comparable).
- Familiarity with cloud infrastructure (AWS or equivalent) and data platforms with access-control models (Databricks, Unity Catalog, or similar).
- Comfortable presenting solution designs and trade-offs to non-technical stakeholders.
Nice to have
- Experience with enterprise agent-builder or search platforms (e.g., Glean).
- LLM evaluation methodologies (groundedness, hallucination detection).
- Experience with Slack API or other chat-platform integrations.
- Prior work in a rapid-prototyping or forward-deployed engineering capacity.
Skills: AI Solutions Engineer, AI agents and assistants, backend integrations, automation, Python, LLM/agent frameworks
This role has been open 0 days — well below the 46-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · AI ML Hardware
|
Open roles in category
119
|
Median days open
46 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Marvell Technology | All employers we track in this specialty (119 roles · 30 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 119 |
| Open roles in the wider Software, Firmware & Systems family | 39 | 5840 · 143 employers |
| Median days open | 0 d | 46 d (−46 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI Solutions Engineer, AI agents and assistants, backend integrations, automation, Python, LLM/agent frameworks
Who's hiring in this category
- NVIDIA · 24 open roles · median 28 d
- Qualcomm · 22 open roles · median 31 d
- AMD · 12 open roles · median 27 d
- Graphcore · 9 open roles · median 77 d
- NXP Semiconductors · 7 open roles · median 91 d
- Intel Corporation · 6 open roles · median 20 d
How we counted: 119 open Infrastructure/Platform Software (AI ML Hardware) roles from 30 employers tracked in the SemiconductorJobs index, counted 22 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.