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.
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.
Similar Jobs
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manage large group insurance client relationships with a focus on reporting and metrics. Serve as primary liaison, deliver client reports and insights, lead projects and implementations, drive strategic initiatives, mentor junior staff, and ensure accurate system data and documentation.
Top Skills:
ExcelMS OfficeMicrosoft Powerpoint
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Partner with U100 sales to drive small-business growth by delivering analysis, reports, dashboards, and strategic sales support. Recommend process improvements, correct operational errors, lead projects, train sales on platforms, and support renewals and financial/contract evaluations.
Top Skills:
CopilotMS OfficeSalesforce
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Provide high-level administrative support to the SVP of Disability Service & Operations: manage complex domestic and international travel, calendars and inboxes, schedule and coordinate meetings/events, prepare materials, process expenses and invoices, liaise with senior leaders and partners, and maintain confidentiality and executive-level communication.
Top Skills:
ExcelOutlookPowerPointWebexWord
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
