The Role
As a Senior AI Engineer, you will architect AI systems for marketing, build generative pipelines, and ensure compliance with privacy standards, all while leading MLOps processes.
Summary Generated by Built In
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.
The base pay range for this role is $180,000 – $230,000 per year.
Skills Required
- 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
- MarTech integration experience
- Deployment fluency with Docker, Kubernetes, and cloud AI services
- Strong grounding in Bayesian A/B testing and causal inference
- Previous experience in a high-growth B2C marketing environment
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The Company
What We Do
Syndesus builds engineering teams in Canada for US-based VC-backed startups, offering Employer of Record (PEO) services for remote employment and assisting with cross-border hiring and immigration issues.
