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Senior Forward Deployed AI Engineer embeds with BU teams to turn business problems into working product, owning solutions end-to-end from rapid prototype through production deployment and BU adoption. Rather than handing off specs, the Senior FDE builds, integrates, and ships in the field — partnering closely with BU stakeholders, data teams, and Core Tech to deliver solutions that create measurable business impact and scale across the organization. Embed with BU teams to understand operational problems firsthand, then design solutions that fit their real-world context Ability to build production-grade software end-to-end — data pipelines, integrations, APIs, and applications Prototype and iterate rapidly in the field, validating against live data and real users before scaling Apply AI/ML and LLM capabilities where they create real leverage — building agents, automations, and data products Integrate solutions with existing platforms, data sources, and enterprise systems (cloud, data warehouse, internal APIs) Own technical delivery from architecture and implementation through deployment, monitoring, and handover Partner with Core Tech to ensure solutions meet platform, security, and data-governance standards for production Instrument solutions to measure impact, tracking BU Adoption Rate and P&L outcomes, and iterate on the results Communicate progress, risks, and technical trade-offs clearly to BU leaders and the Innovation Steering Committee Set technical standards, and contribute reusable patterns to the Innovation team’s playbook Qualification: Proven experience as a software, solutions, or forward deployed engineer, shipping production systems in a customer or BU-facing role Strong full-stack engineering skills — building applications, APIs, and data pipelines in a modern language (e.g., Python, TypeScript, Go) Hands-on with cloud and data platforms, and system integration (e.g., Azure, Databricks, SQL, REST APIs) Practical experience applying AI/ML or LLMs to real problems — prompt engineering, agents, RAG, or model integration Excellent communication in both Thai and English, able to work directly with BU stakeholders and present technical trade-offs to executives Comfortable owning delivery end-to-end and iterating fast in ambiguous, real-world environments Able to turn vague business problems into deployed, adopted solutions
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.