How You'll Help Us Keep Climbing (Overview & Key Responsibilities)

Role Summary

Design, build, and productionize AI solutions—especially LLM and generative AI workloads—on top of our Enterprise data Platform (Databricks, Azure, OpenAI, and AWS). This role has an emphasis on and operationalization of AI solutions, ensuring AI products are reliable, scalable, secure, and cost‑effective in production. You will partner with data engineering, data science, and product teams to turn ideas into robust, continuously running services.

Key Responsibilities

Design and develop end‑to‑end AI solutions (from data preparation and feature/embedding engineering through to serving) on the EDP.
Productionize AI and LLM applications: harden prototypes into resilient, observable services with clear SLAs, SLOs, and runbooks.
Implement, optimize, and operate data / feature / embedding pipelines that support AI products, working closely with data engineers and data scientists.
Build and maintain APIs, batch jobs, and workflows that expose AI capabilities safely to internal users and customer‑facing applications.
Establish and own observability for AI systems (logging, metrics, tracing, data/quality monitoring, safety and cost monitoring).
Contribute to and improve MLOps/LLMOps practices: deployment pipelines, versioning, canary/blue‑green rollouts, and rollback strategies.
Ensure security, governance, and responsible AI practices are built into production solutions (access control, PII handling, evaluation, policy enforcement).
Collaborate with product owners to refine requirements, shape delivery plans, and communicate risks and trade‑offs.
Mentor and support less‑experienced engineers, contributing to standards, patterns, and best practices for AI engineering on the EDP.

What You Need To Succeed (Minimum Qualifications)

4–7+ years in software, data, or ML engineering, with at least 2+ years focused on ML or LLM‑based solutions.
2+ years experience with Databricks
Strong SQL skills
Strong Python skills for data and AI (e.g. pandas, PySpark, LLM/AI frameworks, API development).
Hands‑on experience with modern data/AI platforms similar to our EDP (e.g. lakehouse, cloud‑native data and ML stacks).
Proven experience building LLM applications (chat/completions, embeddings, RAG, function/tool calling) and integrating them into production systems.
Solid understanding of data modeling, data quality, and performance considerations for AI workloads (latency, throughput, cost).
Experience with MLOps / LLMOps tooling and practices (e.g. model registries, experiment tracking, evaluation frameworks, CI/CD).
Strong grasp of software engineering fundamentals: Git, code review, testing strategies (unit/integration), and documentation.
Experience working closely with data engineers, data scientists, and product teams to deliver production solutions.

Behavioral Competencies

Ability to produce high quality results, work in a collaborative environment by embracing diverse perspectives and with a solution-based approach.
Adapt communication clearly and concisely based on team dynamics and expresses thoughts & ideas effectively.
Ability to engage effectively with peers and stakeholders to build trust and reliable working relationships.
Ability to understand business processes, implement innovative solutions, guide juniors on continuous improvement by constantly updating oneself on current technology & trends.
Inquisitive to understand customer and business expectations while creating value addition on technical solutions.

What Will Give You a Competitive Edge (Preferred Qualifications)

Experience with OpenAI, Azure and/or AWS within an enterprise data platform context.
Knowledge of prompt engineering techniques and evaluation methods to improve reliability and reduce hallucinations.
Background in statistics, NLP, information retrieval, or related fields.

About The Company

What started as a humble, little aerial crop-dusting operation called Huff Daland Dusters in 1924 has now grown into the U.S. global airline leader in safety, innovation, reliability, and customer experience. Headquartered in Atlanta, Georgia, Delta Air Lines is known for its operational excellence and award-winning customer service.

Powered by our employees worldwide, Delta has led the airline industry in operational excellence for a decade while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good.

In 2026, Delta Air Lines continued to earn global recognition for its performance, culture and operational excellence. Delta was named to Glassdoor's 2026 Top 100 Best Places to Work list for the ninth time, standing as the only airline recognized. Delta also secured the 11th spot on Fortune's World's Most Admired Companies list, marking its 13th consecutive year earning this distinction. Delta was also recognized by Cirium as the top on-time airline in North America for the fifth consecutive year, underscoring its unwavering commitment to reliability and customer experience.

About The Delta Technology Hub (DTH), Bangalore

The DTH is one of Delta Air Lines investments in world-class business capabilities and technology aimed at transforming how Delta Air Lines operates and provides world-class travel experiences to its customers through innovation and cutting-edge methodologies. By continuously reimagining processes and driving technology-led transformation, the Delta Technology Hub plays a pivotal role in Scripting The Future Of Aviation. The organization is certified by the Great Place to Work Institute (India). The Delta Technology Hub was a finalist for the iVolunteer Awards 2024/2025 in the Leader in Employee Volunteering category. This nomination highlights our remarkable volunteering initiatives and the outstanding practices we implement to encourage and support our employee volunteering program.

For more information, please visit www.deltatechhub.com

Why join

Technology is a key enabler of the differentiated services that Delta provides. At the DTH, you get the opportunity to work on projects with a significant impact on business outcomes and customer experience.
Deepen your knowledge by taking part in multifaceted learning and development programs –exposure to extensive internal and partner repositories, institutional affiliations, and industry SIG (Special Interest Groups) partnerships.
Immerse yourself in an employee-centric culture.
Develop deep and broad business acumen on airline operations while retaining focus on cutting-edge technology driven solutions.
Avail a full range of benefits that support you and your family: Medical Insurance, Transportation to and from the DTH office, Complementary Cafeteria Meals, Special Travel opportunities and Travel Privileges, Car Lease Program, Paid time off, Parental Benefits and National Pension Scheme.

Senior ML Ops Engineer