Full stack engineer developing and scaling generative AI applications at PwC. Collaborating across teams to enhance software solutions and mentor junior engineers while maintaining high standards.
About the role
- AI Engineer implementing and validating AI capabilities to enhance marketing operations and customer experience. Collaborating with cross-functional teams on AI-powered marketing technology.
Responsibilities
- Validate AI use cases through technical feasibility assessments and build proof-of-concepts that can evolve into production systems
- Integrate AI services (OpenAI, Anthropic, AWS AI) with Adobe Experience Platform (RT-CDP, Journey Optimizer, Marketo) and Salesforce Data Cloud
- Design and implement data pipelines for both real-time and batch processing through Edge Network architectures
- Architect and deploy scalable AI solutions on cloud platforms (GCP, AWS, or Azure)
- Create APIs and microservices that expose AI functionality to marketing applications
- Implement observability and measurement frameworks for AI-powered workflows
- Ensure compliance with data privacy and consent management requirements (OneTrust)
- Collaborate with engineers, technical architects, strategists, and marketing teams to align solutions with business objectives
- Document technical approaches and recommendations for scaling successful initiatives
- Monitor, evaluate, and iterate using real-world data and feedback
- Staying current with AI/ML advancements and recommending new technologies.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field
- 2+ years experience with production AI systems including data engineering and integration
- Deep understanding of modern AI: LLMs, embeddings, vector databases, RAG architectures
- Strong Python programming with API integration experience
- Hands-on experience with LLM APIs (OpenAI, Anthropic) and cloud AI services (AWS, Azure, GCP)
- Experience with marketing automation platforms, particularly Adobe Experience Cloud or Salesforce
- Production experience with cloud-native architectures including serverless, containers, and managed AI services
- Proficiency with data pipelines, streaming platforms, and event-driven architectures
- Experience with LLM orchestration libraries (LangChain, LlamaIndex, Semantic Kernel)
- AI observability tools (Arize, OpenTelemetry, LangSmith)
- Adobe Experience Platform certification or implementation experience (preferred)
- MLOps and AI observability tools experience (preferred)
- Knowledge of marketing concepts: segmentation, lead scoring, journey orchestration.
Benefits
- Medical, vision, and dental insurance
- Life insurance
- Short-term and long-term disability insurance
- 401k
- Flexible paid time off
- At least 15 paid holidays per year
- Paid sick and safe leave
- Paid parental leave.
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