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

- Work with business and technology stakeholders to translate opportunities and ambiguous requirements into well-defined AI or machine-learning problems.
- Design and develop production-grade AI services, APIs, microservices, and integrations using sound software engineering principles.
- Build solutions using appropriate techniques such as generative AI, natural language processing, retrieval, classification, prediction, recommendation, or optimisation.
- Develop AI application workflows that may include prompting, structured outputs, tool use, agent orchestration, search, retrieval-augmented generation, and conversational context.
- Create and maintain data ingestion, preparation, indexing, retrieval, and model-serving pipelines where required.
- Define evaluation approaches using representative datasets, automated tests, quality metrics, human review, and business outcomes.
- Implement appropriate safety, security, privacy, and responsible-AI controls, including protections for sensitive data and unreliable or harmful model behaviour.
- Deploy, monitor, and support AI solutions in cloud environments, balancing quality, reliability, latency, scalability, and cost.
- Investigate production issues using logs, traces, metrics, evaluation results, and user feedback, and drive improvements through the full product lifecycle.
- Integrate AI capabilities with enterprise systems, external services, and existing technology platforms.
- Contribute to architecture, technical documentation, code reviews, testing standards, CI/CD practices, and reusable engineering patterns.
- Clearly communicate assumptions, limitations, risks, uncertainty, and technical trade-offs to technical and non-technical audiences.
- Mentor engineers and contribute to continuous learning across the wider AI and engineering community.
- Develop an understanding of the airline and travel domain and how technology supports customers, colleagues, and operations.

What You Need To Succeed (Minimum Qualifications)

- Bachelor's degree in computer science, engineering, data science, mathematics, or a related discipline, or equivalent practical experience.
- Five or more years of professional experience in software engineering, applied machine learning, data science, or AI engineering, including hands-on Python development.
- Strong software engineering fundamentals, including modular design, version control, testing, debugging, code review, and maintainable development practices.
- Experience developing and operating APIs, microservices, or backend applications using a modern Python web framework.
- Hands-on experience delivering solutions using large language models, natural language processing, machine learning, or related AI technologies.
- Understanding of common AI application patterns such as prompting, structured outputs, tool integration, embeddings, semantic search, retrieval, and conversational workflows.
- Experience with one or more LLM platforms, AI application frameworks, model SDKs, or model-serving approaches. The ability to evaluate and adopt suitable tools is more important than experience with any single framework.




- Experience evaluating AI or ML systems using appropriate datasets, tests, metrics, validation methods, and qualitative review.
- Experience deploying and supporting containerised production workloads on AWS, Azure, or another major cloud platform.
- Working knowledge of CI/CD, DevOps or DevSecOps practices, observability, and production incident investigation.
- Understanding of data privacy, security, responsible AI, and the operational risks associated with probabilistic systems.
- Ability to collaborate effectively with cross-functional and geographically distributed teams and communicate clearly with business and technical stakeholders.

We value engineers who can reason about the problem, select appropriate techniques, and take ownership of production outcomes rather than simply apply a particular framework.

Behavioral Competencies

- Ability to produce high quality results, work in a collaborative setting 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)

- Master's degree in computer science, mathematics, artificial intelligence, machine learning, or a related field.
- Experience designing multi-step, agentic, or event-driven AI workflows.
- Experience with retrieval-augmented generation, enterprise search, document ingestion, vector search, or knowledge-management solutions.
- Experience with conversational AI, real-time voice, streaming, speech-to-text, or text-to-speech systems.
- Experience with model and AI application observability, evaluation platforms, experimentation, or quality monitoring.
- Experience with asynchronous processing, distributed systems, messaging, relational or NoSQL databases, and caching technologies.
- Familiarity with traditional machine-learning or deep-learning libraries where relevant to the use case.
- Experience applying guardrails, content-safety controls, prompt-injection protections, and sensitive-data handling to AI applications.
- Experience integrating AI products with enterprise platforms and third-party services.
- Experience leading technical delivery, mentoring engineers, or establishing engineering standards.
- Knowledge of airline, travel, retail, customer-service, or another complex customer-facing domain.





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 valuable.

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 AI ML Engineer (Bengaluru)
🏢 Delta Technology Hub
📍 Bengaluru