Senior MarTech Engineer (Braze/Claude)

McAfee; San Jose (CA); On-site; USD 135,910 - 223,285; Full time

Benefits offered by this job

Bonus Program

401k Retirement

Medical, Dental, and Vision Coverage

Paid Parental Leave

Unlimited Paid Time Off for Exempt Employees

96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees

Job summary

McAfee is seeking a Senior AI Engineer to transform their marketing ecosystem. This role involves architecting the intelligence layer for automation and personalization while ensuring compliance with global privacy standards. Candidates must have strong proficiency in Python, experience with ML frameworks, and a background in integrated marketing systems.

The position focuses on building predictive models and AI agent workflows, making it ideal for those passionate about leveraging technology for enhanced marketing strategies.

Qualifications

• Expert proficiency in Python with deep experience in PyTorch or TensorFlow.
• Proven experience with Claude fine-tuning models and managing vector databases.
• Hands-on experience integrating AI with CDPs, ESPs, and various analytics platforms.

Responsibilities

• Architect AI agents to automate marketing tasks like campaign orchestration.
• Build and maintain pipelines for automated ad creative generation.
• Implement RAG systems for context-aware personalized content.

Skills

Python

PyTorch

TensorFlow

SQL

Generative AI

Bayesian A/B testing

Docker

Kubernetes

Tools

Databricks

Claude

Adobe Experience Manager

HighTouch

Job description

Role Summary

We are looking for a Senior AI Engineer to lead the transformation of our marketing ecosystem. You won’t just be maintaining tools; you will be architecting the intelligence layer that powers hyper-personalization, autonomous campaign optimization, and generative creative pipelines. You will architect and lead buildout of infrastructure systems that do not merely execute pre-defined tasks but perceive context, reason through complex strategic problems, and orchestrate end-to-end workflows with minimal human intervention. We are moving from "campaign management" – a manual, administrative task – to "campaign orchestration", a strategic, supervisory role and invest in effective Human‑Agent Teams. This position is located in the US in either San Jose, CA or Frisco, TX. You will be required to be onsite on an as-needed basis. We are only considering candidates within a commutable distance to one of the two locations and are not offering relocation assistance at this time.

Position Details

• 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 the trust of the customer.

About You

• 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), Customer focused websites (Javascript, Adobe Experience Manager).
• Data Stack: Mastery of SQL and cloud data warehouses. Experience with Databricks for feature engineering is a huge 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, 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

Company Overview

McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always‑online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.

Company Benefits And Perks

• Bonus Program
• 401k Retirement
• 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 Range

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

Job Applicant Privacy Notice

Please note that this notice applies to all McAfee job applicants who are residents of the state of California.

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family‑friendly benefits to all of our employees.

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.