Senior AI Engineer, MarTech

We are looking for a Senior AI Engineer to lead the transformation of our marketing ecosystem. You will architect the intelligence layer that powers hyper-personalization, autonomous campaign optimization, and generative creative pipelines. This role shifts from manual "campaign management" to strategic "campaign orchestration," investing in effective Human-Agent Teams. The position is located in the US in either San Jose, CA or Frisco, TX, with onsite requirements as needed. Candidates must be within commutable distance to one of these locations; relocation assistance is not offered at this time.

About The Role

• Architect Agentic Workflows: Design and deploy AI agents to automate complex marketing tasks such as cross-channel campaign orchestration and real-time lead qualification.
• Generative Asset Pipelines: Build and maintain scalable pipelines for automated ad creative generation (text, image, and video) using LLMs and Multimodal models (Stable Diffusion, GPT-4o, Sora) while ensuring brand-safe guardrails.
• Real-time Personalization: Implement RAG (Retrieval-Augmented Generation) systems to provide context-aware, personalized content across web, email, and SMS.
• Build Predictive Models: Develop and productionalize ML models for high-impact marketing use cases: LTV (Lifetime Value) prediction, churn propensity, and "Next Best Action" engines.
• MLOps & Integration: Own the end-to-end lifecycle of models, from feature engineering in SQL/Python to deployment via APIs and monitoring for data drift in production.
• Privacy & Ethics: Ensure all AI implementations comply with global privacy standards (GDPR, CCPA) and implement "Privacy-First" AI features like differential privacy or synthetic data generation.
• Governance: Implement robust Responsible AI frameworks to ensure that the speed of automation does not compromise customer trust.

Requirements

• Languages & Frameworks: Expert proficiency in Python. Deep experience with PyTorch or TensorFlow, and LLM orchestration frameworks (LangChain, LlamaIndex).
• MarTech Ecosystem: Hands-on experience integrating AI with CDPs (HighTouch), ESPs (Braze, Iterable), or Ad Platforms (Meta Conversions API, Google Enhanced Conversions), Analytics (Adobe CJA), and customer-focused websites (JavaScript, Adobe Experience Manager).
• Data Stack: Mastery of SQL and cloud data warehouses. Experience with Databricks for feature engineering is a plus.
• Generative AI: Proven experience with Claude fine-tuning models (LoRA, QLoRA) and managing vector databases (Pinecone, Milvus, or Weaviate).
• Deployment: Experience with Docker, Kubernetes, and cloud AI services (AWS SageMaker, Google Vertex AI, or Azure AI Studio).
• Domain Expertise: Previous experience in a high-growth B2C marketing environment.
• Experimentation Mindset: Strong understanding of Bayesian A/B testing and causal inference to measure the true uplift of AI interventions.
• Strategic Thinking: Ability to translate vague marketing goals ("we want to increase engagement") into specific technical requirements and model objectives.
• Customer TouchPoints: Experience developing applications or integrations with Windows, MacOS, iOS, and Android ecosystems.

The Stack You’ll Work With

• Data Foundation: Databricks, HighTouch
• AI/ML Engine: Claude, PyTorch, Hugging Face, OpenAI API, LangGraph
• Orchestration: Airflow, Prefect, or GitHub Actions
• Marketing Execution: Braze
• Monitoring: Weights & Biases, Arize, or Grafana
• Analytics: Adobe CJA

Benefits

• Bonus Program
• 401k Retirement Plan
• Medical, Dental, Vision, Basic Life, Short Term Disability, and Long-Term Disability Coverage
• Paid Parental Leave
• Support and Community Involvement
• 14 Paid Company Holidays
• Unlimited Paid Time Off for Exempt Employees
• 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees (accrued each year)

Pay

The anticipated compensation for this position is USD $135,910.00/Yr. - USD $223,285.00/Yr. depending on experience and qualifications.