How You'll Help Us Keep Climbing (Overview & Key Responsibilities)
Role Summary
Design, build, and productionize AI solutionsespecially LLM and generative AI workloadson 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 costeffective 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 endtoend 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 customerfacing 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/bluegreen 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 tradeoffs.
- Mentor and support lessexperienced engineers, contributing to standards, patterns, and best practices for AI engineering on the EDP.
What You Need To Succeed (Minimum Qualifications)
- 47+ years in software, data, or ML engineering, with at least 2+ years focused on ML or LLMbased 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).
- Handson experience with modern data/AI platforms similar to our EDP (e.g. lakehouse, cloudnative 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
Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence 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 2024, Delta was recognized by Fortune with a No. 11 placement on
Fortune's Top 50 Most Admired Companies list. The company's strong management and commitment to providing elevated experiences and premium products also secured a No. 1 ranking out of the eight airlines on the list. Delta landed on
TIME's inaugural list of the
World's Best Companies, coming in at No. 12 the only U.S. airline in the top 155. TIME's award is based on three criteria: employee satisfaction, revenue growth and sustainability.
Delta's people-first culture continues to be recognized, earning the airline a spot on
Fortune's 100 Best Companies to Work For list for the fifth year. Delta is the only airline included on the 2024 list.
Additionally, Delta earned a coveted spot, on
Fast Companys list of the
Most Innovative Companies, climbing from its No. 8 spot in 2023 to No. 2 in the travel category. The airline was recognized for its Wi-Fi revolution that is working to ensure the future of travel is connected.
About The Delta Technology Hub (DTH), Bangalore
Delta has fast emerged as a customer-focused, innovation-led, technology-enabled business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a distributed team to create memorable experiences for customers.
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.
- Collaborate with research, innovation and IP co-development partners.
- 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: Insurance, Commute, Meals, and Special Travel opportunities.
