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Data Engineer/Agentic AI Developer We are seeking an experienced Data Engineer, to support the Development, Enhancement, Validation and Quality assurance of our AI agents that underpin our digital-first capabilities. This role focuses on ensuring the AI Agents workings and Outputs are accurate, reliable and aligned with the defined business and technical requirements. While maintaining strong data governance and security standards. Technical Role : - Build and maintain Data pipelines and validation framework to assess AI Agent performance and output quality. - To pass / update Context passed to the Agent to improve the efficiency and output of the Model and the data pipeline. - Design automated quality checks, monitoring, and reporting for AI agent behaviour across batch and streaming data. - Analyse AI agent outputs to identify gaps, risks, and improvement opportunities. - Discussion with Business Team to work on the solution. - Support the definition of AI agent success metrics, acceptance criteria, and enhancement priorities. - Partner with technology, analytics, and platform teams to improve AI agent reliability, transparency, and scalability. - Ensure solutions are cost-effective and aligned with data governance, security, and regulatory standards. Responsibilities : - Strong experience as a AWS Data Engineer with hands-on programming skills - Experience with AWS (S3, Glue, Athena, EMR, Lambda), Snowflake, and data warehousing concepts - Strong SQL, Server-less and Python skills, with experience building ETL/ELT pipelines - Understanding of batch and streaming architectures (e.g. Kafka, Airflow) - Experience implementing data quality, monitoring, site reliability or validation controls - Excellent communication and problem-solving skills Compensation: Up to 3,700,000.00 per year Work Location: In person .
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.