Software Engineering Manager, AI Platforms

Coca-Cola Co; Dublin; Hybride; EUR 150 000 - 190 000; Plein temps

Résumé du poste

The Coca-Cola Co in Dublin is hiring a Software Engineering Manager, AI Platforms to lead an engineering team delivering MarTech and AI-enabled platform components. You will stay hands-on while guiding 6 to 10 engineers, shaping architecture, reviews and sprint delivery to ensure reliable, scalable software that drives business value.

You will drive AI-augmented engineering practices, implement AI and data patterns including vector databases and RAG, and collaborate with Product Management and

Qualifications

• Bachelor’s degree or equivalent in engineering, CS or related field.
• Proven track record leading small engineering teams delivering consumer-facing digital apps or MarTech components.
• Experience with AI-native engineering, LLM integration, and RAG patterns is highly valued.
• Strong cloud and DevOps experience with CI/CD and observability.

Responsabilités

• Lead the engineering and delivery of a MarTech, Customer & Commercial platform or component, owning sprint execution, quality and on-time delivery.
• Manage and grow an engineering team of 6 to 10 engineers with coaching and direction.
• Stay hands-on with design, code reviews and troubleshooting, especially in crunch times.
• Drive AI-augmented engineering practices to increase velocity and quality while maintaining guardrails.
• Ensure platform reliability, security and cost management with SRE, CI/CD automation and semantic caching.
• Collaborate with Product Management, Data Services and cross-functional teams to deliver outcomes.

Connaissances

Platform Engineering

Agentic / AI-Augmented Development

RAG & Vector Databases

Cloud (AWS/Azure)

DevOps/CI-CD

SRE & Reliability

AI Security & Guardrails

AI Cost / FinOps

1st Party Data Concepts

Agile Delivery

Team Coaching

Formation

Bachelor’s degree in engineering, computer science or related field

Outils

Apache Hadoop

Azure Database for MySQL

Azure Data Factory

Azure Data Lake

Azure SQL Data Warehouse

Google BigQuery

Microsoft Azure

Microsoft Power BI

NoSQL

Platform as a Service (PaaS)

PySpark

SQL

Description du poste

## Software Engineering Manager, AI PlatformsApply: Ireland - Dublin: Full time: Posted Today: R-146490**Job Description Summary:**The Manager, AI-Augmented Platform Engineering is a hands-on engineering manager responsible for the day to day delivery, quality and reliability of a MarTech , Customer & Commercial platform or major component within a larger product line such as CDS or GAM. Reporting to the Director, MarTech , Customer & Commercial Product Development, this leader runs a focused engineering team, stays close to the code, and brings AI-native practices into how the team builds, tests, secures and operates the platform. The role pairs strong execution with people leadership, turning the product roadmap into shipped, dependable software that delivers business value. **What You’ll Do for Us:** * Lead the engineering and delivery of a MarTech , Customer & Commercial platform or component (for example, a service within **CDS or GAM**), owning sprint execution, quality, reliability and on-time delivery.* Manage and grow a focused engineering team of **6 to 10 engineers** across in house and strategic vendor talent, providing coaching, feedback and day to day technical direction.* Stay hands on: contribute to design, code review and troubleshooting, and step in to help the team in a crunch.* Drive **AI-augmented engineering**: adopt agentic and AI-assisted development to lift team velocity and quality while keeping human oversight and code-review rigor.* Deliver high quality engineering for consumer experiences (websites, web services, apps) and MarTech , Customer & Commercial & AdTech platform features, working within Owned Platforms, Adobe Marketing Cloud, DAM, and related tools.* Implement modern data patterns: extend the stack beyond SQL and NoSQL to **vector databases and retrieval-augmented generation (RAG)** where they improve personalization, search and grounded AI features.* Build for AI-era security and trust: design for **prompt injection, data poisoning and model hallucination** alongside traditional application security, with clear guardrails.* Own platform reliability and cost: apply **SRE/SLO practices, CI/CD automation, observability**, and AI cost discipline such as token-overhead management and semantic caching.* Translate the Director's roadmap into clear, executable engineering plans, and report status, progress, risks and dependencies to leadership and stakeholders.* Partner with Product Management, Data Services and cross functional teams to deliver against shared outcomes, not just task completion.* Coach the next generation of engineering talent, setting standards for technical excellence, ownership and continuous learning.**Qualifications & Requirements:** * **2+ years of experience in software engineering**, including at least 2+ years leading or managing engineers, with hands-on delivery of consumer-facing digital apps or enterprise MarTech , Customer & Commercial components. A builder at heart who stays close to the code.* **Delivery ownership:** proven track record shipping high quality software on time within an agile / Product Operating Model, accountable for quality, reliability and outcomes.* **Team leadership:** experience managing or leading small engineering teams, including a mix of in house and vendor talent, with a focus on coaching and growth.* **AI-native engineering (preferred):** hands-on familiarity with agentic and AI-assisted development, LLM integration and RAG patterns, vector databases, and the security (prompt injection, data poisoning) and cost (token FinOps, semantic caching) disciplines the AI-native stack requires.* **Cloud & DevOps depth:** strong technical skills with public/private cloud (AWS or Azure) and DevOps methodologies, including CI/CD pipelines for test, build and deployment automation.* **MarTech , Customer & Commercial / AdTech familiarity:** working knowledge of the MarTech , Customer & Commercial ecosystem, including 1st party consumer data and consumer identity resolution concepts.* **Communication:** clear written and verbal communication, with the ability to explain technical topics to product, business and vendor partners.* **Leadership style:** an inspiring, hands-on leader who builds team trust, drives collaboration, and balances delivery speed with engineering quality.* **Education:** Bachelor’s degree in engineering, computer science or related field required. Equivalent combination of relevant education, training and demonstrated experience also considered.*Skills: Platform Engineering · Agentic / AI-Augmented Development · RAG & Vector Databases · Cloud (AWS/Azure) · DevOps/CI-CD · SRE & Reliability · AI Security & Guardrails · AI Cost / FinOps · 1st Party Data Concepts · Agile Delivery · Team Coaching* **Skills:**Apache Hadoop, Azure Database for MySQL, Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Google BigQuery, Microsoft Azure, Microsoft Power Business Intelligence (PBI), NoSQL, Platform as a Service (PaaS), PySpark, Structured Query Language (SQL) Development**Location(s):**Ireland**City/Cities:**Dublin**Travel Required:**00% - 25%**Relocation Provided:**No**Job Posting End Date:**October 20, 2026