Senior Engineer - Data Engineering(Data and AI Governance Engineer) at Sysco

JOB DESCRIPTIONSenior Engineer

• Data Engineering(Data and AI Governance Engineer)The Big Picture

Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry.

Sysco employs over 75,000 associates, has 337 smart distribution facilities worldwide, and over 14,000 IoT-enabled trucks serving 730,000 customer locations. For fiscal year 2025 that ended June 29, 2025, the company generated sales of more than $81.4 billion.

Sysco LABS Sri Lanka delivers the technology that powers Sysco’s end-to-end operations. Everything we do at Sysco LABS supports Sysco’s Purpose of “Connecting the world to share food and care for one another”, and our work directly impacts millions of food consumers in a trillion-dollar, global industry.

For more information visit: www.syscolabs.lk

Job Summary:

As our Senior AI Engineering Lead, you will own the Greenfield development of our Agentic Governance Framework. You will be responsible for moving the needle from manual data stewardship to an autonomous ecosystem where AI agents identify, classify, and remediate data risks before they hit production.

Duties and Responsibilities:

• Greenfield Agent Orchestration:

Architect and build autonomous agents using Vertex AI Agent Builder and Lang Chain/Lang Graph to automate Data Stewardship and First-Line Risk Management.

• Intelligent Classification:

Develop and deploy LLM-based pipelines to automate data discovery and classification across our Big Query and Cloud Storage environments, replacing manual tagging.

• Autonomous Data Quality:

Design "Self-Healing" data loops where agents identify DQ issues, root-cause them through metadata analysis, and suggest or apply fixes.

• Risk & Records Automation:

Expand the agentic framework into AI Risk Assessments(evaluating model bias/safety) and Records Management (automated retention and disposition logic).

• GCP Infrastructure:

Leverage the full power of the Google Cloud stack (Dataplex, Dataflow, Big Query, Vertex AI) to build scalable, production-grade governance codebases.

Qualifications:

• Education Required: Bachelor's degree from an accredited institution in Computer Science, Data Engineering, Information Systems, or a related technical field.
• Senior Execution:

5+ years of experience in Data or Software Engineering, with at least 2+ years focused on AI/ML orchestration.

• Vertex AI Mastery (Preferred - Alternatives like AWS Bedrock acceptable):

Deep expertise in the GCP Vertex AI suite (Model Garden, Agent Builder, Vector Search).

• Agentic Frameworks:

Proven ability to build multi-agent systems that can "reason" through complex workflows (e.g., Lang Chain, Lang Graph, or CrewAI).

• Data Engineering Fundamentals:

Strong SQL/Python skills and experience building data pipelines that handle massive enterprise-scale datasets.

• Governance Fluency:

A clear understanding of what "Good" looks like in Data Quality, Data Privacy (GDPR/CCPA), and Records Management.

Benefits:

• US dollar-linked compensation
• Performance-based annual bonus
• Recognition and rewards programs
• Agile Benefits – special allowances for Health, Wellness & Academic purposes
• Paid birthday leave
• Team engagement allowance
• Comprehensive health & life insurance cover (extendable to parents and in-laws)
• Overseas travel opportunities and client environment exposure
• Hybrid work arrangement