Senior Data Scientist
Anheuser-Busch InBev (company site, opens in a new tab)6+ yrsOn-siteDirect career pageEst. 25–40 LPA
Posted on 20 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of connected agentic AI systems combining LLMs, tools, APIs, data, and human controls to improve decision-making and automate business processes.
- Own architecture of multi-agent workflows covering orchestration, task routing, error recovery, and escalation, ensuring deployment and adoption of production-ready machine learning solutions.
- Translate business needs into technical requirements, build evaluation frameworks, provide technical mentorship, and maintain production code quality and documentation.
Minimum Requirements
- Bachelor’s or master’s degree in Computer Science, AI, ML, Data Science, Engineering, or related quantitative field.
- Minimum 6 years professional experience in data science, ML, applied AI or software engineering; at least 2 years building and delivering LLM, generative, or agentic AI solutions.
- Strong expertise in Python programming, agentic AI engineering, RAG and knowledge systems, SQL, software delivery tools (Git, CI/CD), and evaluation/safety frameworks.
- Demonstrable hands-on experience building connected agentic systems beyond simple chatbots; able to provide specific examples and technical details.
Ideal Candidate Profile
- Experienced technical leader comfortable balancing AI research/experimentation with production-grade engineering and stakeholder communication.
- Skilled in multi-agent AI system design and orchestration with proven ability to deliver measurable business impacts via automation.
- Used to working in advanced AI environments involving retrieval-augmented generation, human-in-the-loop controls, and continuous evaluation and improvement frameworks.