Senior AI Engineer – MarTech / Marketing Intelligence Hybrid | San Jose, CA or Frisco, TX (must be locally based | (no relocation)
The Role
Senior AI Engineering 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.
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
Requirements
- 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)
- Previous experience in a high-growth B2C marketing environment
- Ability to translate vague marketing goals into concrete technical requirements
Nice to Have
- Experience developing applications or integrations across Windows, macOS, iOS, or Android ecosystems
- Customer-facing web experience (JavaScript, Adobe Experience Manager)
- 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 grounding in Bayesian A/B testing and causal inference
The Stack
- Data: Databricks, HighTouch
- AI/ML: Claude, PyTorch, Hugging Face, OpenAI API, LangGraph
- Orchestration: Airflow, Prefect, GitHub Actions
- Marketing Execution: Braze
- Monitoring: Weights & Biases, Arize, Grafana
- Analytics: Adobe CJA
Compensation
$180,000 – $230,000 USD base + bonus program
The Company
Well-established, globally recognized consumer software company with strong perks: bonus program, 401k, medical/dental/vision, paid parental leave, 14 paid holidays, and unlimited PTO for exempt employees.
Compensation
The base pay range for this role is $180,000 – $230,000 per year.