Job Description

Role Technical AI Azure Python Data Engineer

Location Philadelphia, PA

Experience 8 to 10 years

Role Overview

AI Azure Python Data Engineer t will play a key role in designing building and evaluating AI driven solutions that support innovation across the organization This individual will work at the intersection of applied AIML data engineering and business collaboration

This role requires someone who is highly adaptable comfortable operating in ambiguity and eager to learn new tools and approaches as needs change

Primary Skills

Strong proficiency in Python

Solid understanding of foundational AIML concepts including

Retrieval Augmented Generation RAG

Natural language SQL workflows

Vector databases

Agentic AI development frameworks framework agnostic ability to learn new ones

Experiment design and evaluation methodologies

Secondary Skills

Natural Language Processing NLP

AB testing and experimentation frameworks

Basic machine learning modeling


Design and run experiments to evaluate model and system performance

Collaborate with cross functional teams to identify and prioritize AI use cases

Continuously evaluate emerging AI tools and frameworks and recommend practical applications

Helpful Experience

Applying generative AI to classification and information extraction problems

Using generative AI for aggregation and synthesis use cases eg summarization or multisource synthesis systems such as Lumen

Designing and deploying agentic AI systems

Critical Traits for Success

Adaptability Growth Mindset Essential This role will evolve over time The ideal candidate is comfortable with shifting responsibilities and changing priorities as innovation initiatives develop

They must be willing and able to learn new tools techniques and domains quickly

Comfort with Ambiguity Innovation work often lacks predefined paths

The candidate should be comfortable operating without fully defined playbooks and helping shape direction as projects mature

Intellectual Humility Curiosity The ability to ask questions even at the risk of looking uninformed is essential Progress depends on proactively seeking knowledge from subject matter experts and other teams

Relationship Building Influence Success in this role requires building strong relationships across teams

The candidate should be personable collaborative and capable of appropriately following up and driving momentum when needed

Question Walk me through a recent end to end data solution you designed and delivered using Python starting from requirements to data ingestion transformation validation and serving consumption

What were your key architecture decisions and why

What it qualifies Real ownership architectural thinking ability to articulate tradeoffs and maturity expected from a tech architect

Question In Python based data pipelines what are the most common causes of performance bottlenecks and data quality issues youve seen How did you detect them and what specific steps did you take to optimize runtime and improve reliability

Question As an onsite tech architect you ll handle ambiguous asks from business users Tell me about a time you translated unclear stakeholder requirements into a data model solution design including governance security considerations and drove alignment across multiple teams

Skills

Mandatory Skills : MS SQL Server, Python, Python - Data Science, Python for DATA, Vector Databases and Embedding

Good to Have Skills : AI/GenAI Research, Azure AI Studio, Azure Analysis Services, MySQL, Natural Language Processing - AIOPS

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