Senior Staff Engineer - AI Engineer

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

We are looking for a Lead AI Engineer / Senior Data Scientist to join our AI & Tech Accelerator. In this role, you will lead the design, development, and delivery of AI solutions, leveraging Machine Learning, Generative AI, and emerging Agentic AI patterns. You will play a key role in driving high-quality engineering practices, including code reviews, solution design, and mentoring, while remaining hands-on in development.

Key Responsibilities:

In this role, you will operate at the intersection of development, technical leadership, and delivery execution.

Design & Develop AI Solutions:

Design and build scalable AI/ML solutions using Machine Learning, Deep Learning, and Large Language Models (LLMs). Contribute actively to development, ensuring high-quality, production-ready code.

Code Review & Quality Governance:

Lead code reviews and enforce best practices across the team, ensuring maintainability, scalability, and performance of AI systems. Establish coding standards and improve engineering quality.

Generative & Agentic AI Implementation:

Develop and implement Generative AI use cases, including RAG pipelines, prompt engineering, embeddings, and LLM integrations. Contribute to building agentic workflows and multi-step reasoning systems.

Solution Delivery & Business Impact:

Deliver AI solutions across business domains (marketing, supply chain, retail, operations), ensuring alignment with business requirements and measurable impact.

Technical Leadership:

Guide junior team members, support design decisions, and contribute to solution architecture under the guidance of senior architects.

Cross-functional Collaboration:

Work closely with Data Engineers, Product Managers, and DevOps teams to integrate AI models into scalable production systems.

Mentorship & Knowledge Sharing:

Mentor team members, support onboarding, and promote best practices across AI/ML development and deployment.

What We Are Looking For:

We are seeking a hands-on technical leader who can balance coding, code quality ownership, and team guidance, with a strong focus on delivery excellence.

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
• 8–9.5 years of experience in AI/ML development and delivery
• Proven experience in building and deploying production-grade AI/ML solutions
• Strong experience in code reviews and team-level technical leadership

Technical Expertise:

AI/ML & Advanced Analytics:

• Strong expertise in Machine Learning, Deep Learning, and statistical modeling
• Experience in developing and deploying ML models in production

Generative AI & LLMs:

• Hands-on experience with LLMs (GPT, Claude, Llama, Gemini)
• Experience in:
  • RAG (Retrieval-Augmented Generation)
  • Prompt Engineering & Context Handling
  • Embeddings & Vector Databases
• Exposure to agentic frameworks (LangGraph, CrewAI, AutoGen) is a plus

Programming & Engineering:

• Strong proficiency in Python, SQL, and software engineering principles
• Experience with APIs, microservices, and scalable backend systems

MLOps & DevOps:

• Experience with CI/CD pipelines, model deployment, and monitoring
• Familiarity with tools like MLflow, Vertex AI, or similar platforms

Cloud & Data Platforms:

• Experience with GCP (preferred) or other cloud platforms
• Understanding of data pipelines, data lakes, and real-time processing

Soft Skills & Mindset:

Technical Ownership:

Takes responsibility for code quality, delivery, and technical decisions within the team

Collaboration:

Works effectively across teams and contributes to a strong engineering culture

Problem Solving:

Ability to break down complex problems and deliver practical AI solutions

Communication:

Clearly articulates technical concepts to both technical and non-technical stakeholders

Must have Skills: Data Modeling (Strong), Python (Expert), Generative & Agentic AI, Machine Learning, o Embeddings & Vector Databases,