Data & Ai Engineer

Data & AI Engineer (LLMs & Distribution Analytics)

Join a high-impact Data & AI engineering team at the forefront of enterprise AI transformation. You'll build production-grade AI solutions (LLMs, RAG, and agent workflows) used directly by Sales, Marketing, and Distribution teams across EMEA.

This is a hands-on engineering role where you will work with modern cloud-native data platforms and AI tooling to turn commercial data into actionable intelligence. You will contribute to a growing AI agenda with direct exposure to senior leadership and real business impact.

Roles & Responsibilities

* Work on enterprise-scale AI initiatives with visible business impact

* Build real-world generative AI solutions (not just prototypes)

* Access cutting-edge technologies including AWS Bedrock and Snowflake Cortex

* Partner with global teams across engineering, data science, and business domains

* Opportunity to shape and scale AI capabilities in a leading asset management firm

* Clear progression into senior AI/data engineering roles

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What Success Looks Like (First 12 Months)

* Deliver production-ready AI use cases (e.g., AI agents for sales and distribution insights)

* Integrate key CRM and marketing datasets into a unified analytics platform

* Improve reliability and scalability of commercial data pipelines

* Contribute to enterprise AI adoption through working solutions and PoCs

* Establish strong engineering practices in data and AI delivery

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What You'll Do

Build AI & Advanced Analytics Solutions

* Design and develop AI workflows using LLMs, RAG, and agent-based frameworks

* Implement solutions using AWS Bedrock, Snowflake Cortex, and related services

* Build ML feature pipelines and support AI use case deployment

* Collaborate with data science teams to productions AI capabilities

Develop Cloud Data Pipelines

* Build and maintain scalable data pipelines across ingestion, transformation, and serving layers

* Work with AWS services (S3, Glue, Lambda, Athena) and Snowflake/Redshift

* Write production-grade code in Python and/or PySpark

Integrate Commercial & CRM Data

* Design and implement integrations for Salesforce CRM, Marketing Cloud, and web analytics platforms

* Work at API and schema level to connect multiple data sources

* Identify and resolve data quality issues across pipelines and source systems

Drive Engineering Quality

* Contr ibute to code reviews, testing practices, and pipeline reliability improvements

* Participate in technical design discussions and architecture reviews

* Identify and address technical debt to improve platform performance

Prototype & Innovate

* Lead proof-of-concept work for new AI and data capabilities

* Evaluate emerging tools and frameworks and recommend adoption

* Translate experimentation into practical solutions for the platform roadmap

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Tech Stack

* Cloud: AWS (S3, Glue, Lambda, Athena)

* Data Platforms: Snowflake, Redshift

* Languages: Python, PySpark

* AI/ML: AWS Bedrock, Snowflake Cortex

* AI Patterns: LLMs, RAG, vector databases, agent frameworks

* CRM & Data Sources: Salesforce, Marketing Cloud, third-party commercial data

* Visualization (Optional): Tableau or equivalent

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What You Must Bring (Essential Skills)

* Strong hands-on experience in cloud data engineering (AWS + Snowflake/Redshift)

* Proven experience building AI/LLM-based solutions using orchestration frameworks and managed services

* Solid programming skills in Python and/or PySpark

* Experience in integrating Salesforce CRM data and commercial data sources

* Understanding of data pipelines across ingestion, transformation, and serving

* Ability to work independently with strong delivery discipline and ownership ________________________________________

Nice to Have

* Experience with MLOps, feature engineering, or model serving

* Exposure to multi-agent frameworks (e.g., LangGraph, CrewAI, AWS Agent Core)

* Experience of onboarding third-party commercial datasets (e.g., fund flows, market intelligence)

* Experience with BI tools (Tableau or similar) for business-facing analytics ________________________________________

Experience & Education

* 4-7 years of experience in data engineering, analytics platforms, or software development

* Proven track record of hands-on delivery in cloud-native environments

Salary Range- $100,000-$120,000 a year

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