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

Role Summary The leader will coach and grow AI engineers, shape technical strategy, and directly guide the design and delivery of agentic solutions that interact with enterprise systems and operate within clear governance, safety and security boundaries. The role is accountable for rapid experimentation, evaluation, and rapid prototyping, while also ensuring that successful patterns can be responsibly reused and scaled across enterprise.

Key Responsibilities

- Lead, mentor and develop a team of AI/ML engineers; 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 modern 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
- Define and influence technical standards for agent development
- 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
- Stay current on emerging GenAI, Agentic AI, ML platforms, model capabilities, orchestration frameworks, governance practices and AI safety/security threats; translate market learning into pragmatic recommendations
- 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

What You Need To Succeed (Minimum Qualifications)

- 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 modern 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.
- Working knowledge of enterprise AI governance, responsible AI, model evaluation, privacy, security, compliance, auditability and human-in-the-loop patterns.
- Ability to present complex AI concepts, tradeoffs, risks and recommendations to technical audiences, product teams and senior business stakeholders.

Behavioural Competencies

- Ability to champion a collaborative setting 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.
- Use systemic thinking to drive business results and strategic decisions that enhance organizational outcomes.
- Ability to advocate for customer-focused innovations, model empathy in decision-making, inspiring others to approach problems from the customer’s perspective and decisions that reflect an uncompromising commitment to customer safety, fostering trust and loyalty.

What Will Give You a Competitive Edge (Preferred Qualifications)

- 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.

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.

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