Senior Engineering Manager- 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 Senior Engineering Manager for Advanced AI you will lead a full-stack engineering team responsible for building deploying and maintaining high-quality AI/ML applications. Your team will include AI/ML Engineers Full-Stack Software Engineers and Data Engineers working closely with Data Scientists product partners platform teams security teams and business stakeholders. You will guide technical decisions across architecture infrastructure data APIs application design reliability observability and security while ensuring solutions comply with Targets enterprise requirements for infrastructure platform architecture security data handling and operational readiness.

You will also help define and evolve the technical roadmap for AI applications balancing speed quality scalability maintainability and business impact. This role requires strong coaching and talent development including mentoring engineers across AI/ML engineering full-stack software engineering and data engineering. You will manage multiple stakeholders and leader expectations by creating clarity around priorities risks tradeoffs dependencies and outcomes. You will also stay current with developments in AI machine learning LLMs agentic systems and enterprise AI patterns helping the team apply relevant advances thoughtfully.

A successful Senior Engineering Manager in this role will help develop own and maintain multiple scalable AI applications that create measurable business value.

About You:

• 4-year degree or equivalent experience.

• 7 years of engineering experience including hands-on software development experience.

• 13 years of experience managing engineering teams with a strong track record of delivering complex cross-functional technology initiatives.

• Experience leading or working closely with teams of Data Scientists AI/ML Engineers Software Engineers and Data Engineers.

• Strong technical understanding of modern AI/ML application development including building and operating end-to-end systems in production.

• Experience with LLM-powered applications agentic architectures applied machine learning systems data-intensive applications or intelligent automation solutions.

• Strong proficiency with Python; experience with additional languages such as Java Kotlin Go TypeScript or similar is helpful.

• Experience designing building and operating scalable APIs services data pipelines applications or platforms.

• Strong understanding of cloud infrastructure CI/CD observability reliability engineering secure software development and enterprise technology standards.

• Strong written and verbal communication skills with the ability to explain complex technical concepts to engineers Data Scientists business stakeholders and senior leaders.

• Demonstrated ability to manage ambiguity align stakeholders influence technical direction and drive clarity across competing priorities.

• Passion for coaching mentoring talent development and building inclusive high-performing engineering teams.

• Successful track record of working in large enterprise technology ecosystems leading complex technology teams

• Deep understanding of agile development processes and methodology including continuous integration and delivery with a mindset of building incrementally and delivering business value quickly

Know More About Us here:

• Life at Target- Experience:

  Manager