Sr AI Engineer - Frisco,TX

Syndesus • Frisco, TX

4d • Hybrid

About The Position

Senior AI Engineer role architecting the intelligence layer behind a global consumer software company's marketing ecosystem. You'll move the org from manual campaign management to autonomous campaign orchestration — designing agentic workflows, generative creative pipelines, and real-time personalization systems that operate with minimal human intervention. This is a hands-on, build-it role at the intersection of MarTech and applied AI.

Requirements

• Expert Python; deep experience with PyTorch or TensorFlow
• Hands-on with LLM orchestration frameworks (LangChain, LlamaIndex, LangGraph)
• Production experience with RAG systems and vector databases (Pinecone, Milvus, Weaviate)
• Fine-tuning experience (LoRA, QLoRA) with frontier LLMs
• Strong SQL and cloud data warehouse experience; Databricks for feature engineering a strong plus
• MarTech integration experience — CDPs (HighTouch), ESPs (Braze, Iterable), Ad Platforms (Meta Conversions API, Google Enhanced Conversions), Analytics (Adobe CJA)
• Deployment fluency with Docker, Kubernetes, and cloud AI services (SageMaker, Vertex AI, or Azure AI Studio)
• Strong grounding in Bayesian A/B testing and causal inference
• Previous experience in a high-growth B2C marketing environment
• Ability to translate vague marketing goals into concrete technical requirements

Nice To Haves

• Experience developing applications or integrations across Windows, macOS, iOS, or Android ecosystems
• Customer-facing web experience (JavaScript, Adobe Experience Manager)

Responsibilities

• Architect and deploy AI agents for cross-channel campaign orchestration, real-time lead qualification, and end-to-end workflow automation
• Build scalable generative asset pipelines for automated ad creative (text, image, video) using LLMs and multimodal models, with brand-safe guardrails
• Implement RAG systems for context-aware, personalized content across web, email, and SMS
• Develop and productionalize ML models for LTV prediction, churn propensity, and Next Best Action engines
• Own the full MLOps lifecycle — feature engineering, deployment, monitoring for data drift
• Ensure compliance with global privacy standards (GDPR, CCPA) and implement privacy-first AI techniques (differential privacy, synthetic data)
• Establish Responsible AI governance frameworks across the marketing function

Benefits

• bonus program
• 401k
• medical/dental/vision
• paid parental leave
• 14 paid holidays
• unlimited PTO for exempt employees

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed