Required Skills

typescriptpythonjavagokotlinmachine learningdeep learningdata scienceagile

Job Description

*About Us:**

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's 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 you'll build relationships by being authentic and respectful.

Overview about TII

At Target, we have a timeless purpose and a proven strategy. And that hasn’t 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 Target’s global team and has more than 4,000 team members supporting the company’s 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, you’ll be challenged to harness Target’s 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

Target’s 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 Target’s 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.

1–3\+ 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