Lead Engineer- Advanced AI

About Us

As a Fortune 50 company with more than 400000 team members worldwide Target is an iconic brand and one of Americas leading retailers.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here we believe your unique perspective is important and youll build relationships by being authentic and respectful.

Overview about TII

At Target we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru where Target in India operates as a fully integrated part of Targets global team and has more than 4000 team members supporting the companys global strategy and operations.

Pyramid Overview

A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics Optimization or Machine Learning teams youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in Marketing Supply Chain Optimization Network Security and Personalization rely on.

Team Overview

Targets Advanced AI team builds end-to-end AI/ML systems that create meaningful business value across the enterprise. These systems may be powered by LLMs classical machine learning or deep learning models and are designed as scalable reliable production-grade applications including agentic architectures where they add clear value.

Role Overview

As a Lead AI Engineer for Advanced AI you will help design build deploy and maintain AI/ML applications that support automation insight and action across core business workflows. You will work closely with Data Scientists engineers product partners platform teams security teams and business stakeholders to turn ambiguous business problems into practical scalable technical solutions.

In this role you will provide hands-on technical leadership for AI engineering initiatives. You will contribute to architecture and design decisions evaluate appropriate models frameworks and tools write maintainable production-quality code and help establish strong engineering practices across development testing deployment observability documentation and ongoing support. You will help ensure AI applications are secure reliable maintainable and aligned to Targets enterprise standards for infrastructure platform architecture data handling and operational readiness.

You will also partner with senior engineers and engineering leaders to shape technical approaches identify implementation risks resolve roadblocks and support the evolution of reusable AI engineering patterns. This role requires curiosity and continuous learning including staying current with developments in AI machine learning LLMs agentic systems and modern software engineering practices. A successful Lead AI Engineer will help deliver production-grade AI applications that create measurable business value while raising the technical quality and capability of the broader team.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About You

• 4-year degree in Quantitative disciplines (Science Tech Engineering Mathematics) or equivalent industry experience required; MS in Computer Science Machine Learning Artificial Intelligence Applied Mathematics or a related technical field preferred.

• 6 years of hands-on software engineering experience including experience building and operating production systems.

• Strong experience developing AI/ML applications including LLM-powered applications agentic systems applied machine learning solutions data-intensive applications or intelligent automation capabilities.

• Strong proficiency with Python and experience with modern AI/ML or deep learning frameworks such as PyTorch TensorFlow LangChain LlamaIndex Semantic Kernel or similar tools.

• Experience working with model APIs prompt orchestration agent development patterns retrieval-augmented generation evaluation frameworks observability tools cloud ML platforms containers or orchestration technologies.

• Strong understanding of system design application architecture model and framework tradeoffs experimentation evaluation strategy performance optimization and production deployment considerations for AI systems.

• Experience building scalable maintainable and well-tested services APIs data pipelines applications or platforms.

• Experience with version control CI/CD code review practices documentation operational monitoring and production support.

• Ability to translate ambiguous business problems into clear technical approaches and collaborate with cross-functional partners to deliver practical solutions.

• Strong communication skills with the ability to explain technical concepts clearly to engineers Data Scientists product partners business stakeholders and leaders.

• Ability to mentor engineers contribute to technical direction and raise the quality of engineering practices within a team.

• Self-driven and results-oriented with strong ownership sound judgment and the ability to move quickly while maintaining high technical standards.

• Collaborative team player with a commitment to continuous learning knowledge sharing and building reliable AI systems that create business value.

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