Technical AI Azure Python Data Engineer

Role Overview

AI Azure Python Data Engineer 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

Responsibilities

• 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 (e.g., 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.

Interview Questions

• 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.
• In Python-based data pipelines, what are the most common causes of performance bottlenecks and data quality issues you’ve seen? How did you detect them and what specific steps did you take to optimize runtime and improve reliability?
• 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.

Benefits/Perks

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

• 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.