AI Software Architect (AdTech)

AI Software Architect (AdTech)
Bucureşti
Bucharest, Bucharest, Romania

Job Description

• AI Strategy & Integration: Design, train, and deploy
  - grade ML models (using AWS Sage
  Maker, Bedrock, Comprehend) for predictive analytics, anomaly detection, recommendation engines, and automation.
• MLOps & Model Serving: Own the entire ML model lifecycle, from training and versioning to secure,
  - latency deployment (Model Serving) on AWS.
• Data Strategy & Governance: Define and implement a
  - wide data strategy, including governance, quality, lineage, and access control.
• Partner with the Domain Expert to formalize AI-driven rules within the BRD.
• AI Governance: Implement robust monitoring for model drift, bias, and performance.
• Explainability (XAI): Develop and expose "explainability" endpoints for critical AI decisions (e. g. , campaign rejection) to support governance and the Agentic Economy.
• Collaboration: Work with the Platform Back-End Dev to define data pipelines and API contracts for
  - time model inference.

• Leadership: Proven experience building and leading centralized Data/AI teams, including data engineering, data science, and MLOps functions.
• Cloud MLOps: 5+ years of experience deploying ML models into production on AWS (Sage
  Maker, MLOps pipelines).
• Saa
  S AI Deployment: Experience deploying AI-powered features into
  - facing Saa
  S platforms, from recommender systems to intelligent assistants.
• API Serving: Proven expertise in exposing ML inference via scalable,
  - latency REST APIs.
• Data Pipelines: Strong background designing and managing
  - volume data pipelines (e. g. , Kinesis, Kafka, Spark) for feature engineering.
• Model Governance: Experience implementing model monitoring, drift detection, and XAI frameworks, including establishing an AI governance framework with model inventory, explainability standards, and ethical review processes.
• Statistical Modeling: Advanced degree (MS/Ph
  D) in Computer Science, Statistics, or a quantitative field.
• Strategy: Demonstrated ability to translate AI capabilities into product strategy, driving alignment with Product, Engineering, and Business teams.
• Data Security & Privacy: Deep understanding of data security, PII handling, and
  -
  - design (GDPR, CCPA, SOC2) as applied to ML systems.
• Upper-Intermediate level of English or higher
   

Preferred Qualifications:

• AWS Certified Machine Learning Specialty.
• NLP & Gen
  AI: Experience with NLP for content analysis (e. g. , creative validation) or LLM integration, including LLMOps, Gen
  AI safety, prompt versioning, and evaluation.
• Experience with probabilistic programming or causal inference.

Personal profile:

• Strong leadership and an ownership mindset
• Ability to innovate in mature,
  - scale systems
• Comfortable working in international,
  - functional teams
• Passion for AI/ML and emerging technologies