AI Azure Python Data Engineer

Role 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 AIdriven 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

RetrievalAugmented Generation RAG

Natural language SQL workflows

Vector databases

Agentic AI development frameworks frameworkagnostic 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 crossfunctional 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

RelationshipBuilding 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 endtoend data solution you designed and delivered using Pythonstarting from requirements to data ingestion transformation validation and servingconsumption 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 Pythonbased 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 youll handle ambiguous asks from businessusers Tell me about a time you translated unclear stakeholder requirements into a data model solution design including governancesecurity 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

Other details

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Benefits
Compensation range: $95,000.00 to $120,000.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/