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

set technical direction, create development plans, manage capacity, provide coaching and build an inclusive, high-performing engineering culture

Partner cross-divisionally with business, product, architecture, data, cybersecurity, privacy, legal, risk and operations stakeholders to identify, prioritize and define business problems suitable for AI, GenAI and Agentic AI solutions

Architect and build agentic experiences using enterprise-ready patterns such as single-agent patterns, multi-agent orchestration, tool/function calling, RAG, memory, policy-aware context management, human-in-the-loop escalation and reusable agent skills/workflows

Evaluate and apply up-to-date AI engineering tools and Agentic AI IDEs/coding assistants to accelerate design, prototyping, testing and delivery while maintaining quality, security and compliance expectations

Drive hands-on prototypes, pilots and proofs of concepts that validate business value, user experience, technical feasibility, cost profile, safety posture and operational readiness

Establish reusable AI assets, including prompts, evaluation datasets, guardrail patterns, MCP-enabled tool integrations, RAG pipelines, observability dashboards, reference architectures and implementation playbooks

Embed responsible AI principles, data privacy, model risk awareness, explainability, human oversight, secure-by-design practices and enterprise governance controls into every stage of experimentation and delivery

Communicate findings clearly to senior leaders and enterprise partners through demos, technical readouts, decision memos, scorecards and adoption recommendations that help inform broader scale decisions

Strong foundation in Machine Learning concepts and techniques, including model development, training, evaluation and optimization, with practical experience in areas such as classification, regression, NLP, computer vision, forecasting or recommendation systems

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics or a related technical discipline, or equivalent practical experience.

- 15+ years of professional experience across AI, ML, software engineering, data engineering or enterprise technology delivery, with recent hands-on work in Generative AI and/or Agentic AI solutions.
- Demonstrated people leadership experience: hiring, mentoring, coaching,



performance feedback, recognition, resource planning and building a collaborative engineering culture.
- Strong architecture and implementation experience with Python and up-to-date software engineering practices, including API design, CI/CD, DevSecOps, testing, observability and production readiness.
- Hands-on experience with LLM integration, prompt engineering, RAG, embeddings/vector stores, tool/function calling, agent workflows and one or more AI/ML frameworks or SDKs.
- Foundational understanding of ML concepts and at least one applied area such as NLP, computer vision, recommendation systems, optimization, reinforcement learning, forecasting or audio/speech processing.
- Experience designing agentic systems that integrate with enterprise APIs, data platforms and business workflows while managing context, state, permissions and errors safely.
- Ability to present complex AI concepts, tradeoffs, risks and recommendations to technical audiences, product teams and senior business stakeholders.

Ability to champion a collaborative environment by empowering team members, demonstrating resilience, being inclusive and building a culture of trust.

Ability to build and sustain robust networks across internal and external stakeholders.

Being a coach/mentor/advisor to drive continuous team development and growth.

Experience leading AI innovation or applied research teams that rapidly prototype, evaluate and share findings across an enterprise.

Experience with cloud-based GenAI/Agentic AI platforms and frameworks such as Azure AI Foundry, AWS Bedrock/AgentCore/Strands, OpenAI Agents SDK, LangGraph, Semantic Kernel, CrewAI, AutoGen, Copilot Studio, Decagon, Netomi, Agentforce or comparable platforms.

Experience building MCP servers, agent tools, agent registries, reusable RAG patterns, model gateways, evaluation harnesses or enterprise AI platform capabilities.

Experience with AI threat modeling, red teaming, prompt injection mitigation, data leakage prevention, agent identity, least privilege/least agency,



SOC integration or AI incident response.

Experience influencing architecture standards, technology selection, vendor evaluation, governance boards or enterprise adoption roadmaps.

Experience applying AI to customer experience, travel/airline operations, service recovery, employee productivity, knowledge management, software delivery or operational reliability.

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. 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. 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 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 Delta Technology Hub was a finalist for the iVolunteer Awards 2024/2025 in the 'Leader in Employee Volunteering' category. At the DTH, you get the opportunity to work on projects with a significant impact on business outcomes and customer experience.

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.

📌 Site Engineering Team Leader (Bengaluru)
🏢 Delta Technology Hub
📍 Bengaluru