Senior ML Engineer: LLMs, RAG Pipelines & Enterprise AI

Prudent Technologies and Consulting, Inc.; San Francisco (CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Prudent Technologies and Consulting, Inc. in the Bay Area (Hybrid) seeks a Senior AI/ML Architect to design and deploy LLM-based solutions across enterprise data stacks.

You will lead RAG pipelines, integrate REST/GraphQL APIs with microservices, and leverage Salesforce Data Cloud and Agentforce to contextualize AI actions for business outcomes. Strong consulting and executive communication skills are essential.

Qualifications

• Strong hands-on experience with Large Language Models, transformer architectures, vector databases, embeddings, and multi-agent orchestration.
• Proven track record designing scalable RAG pipelines and real-time ETL data pipelines.
• Deep understanding of REST/GraphQL APIs, microservices, OAuth, and cloud infrastructure.
• Extensive Salesforce architecture experience including Sales/Service Cloud, Apex, and LWC.
• Mastery of Salesforce Data Cloud and Agentforce for contextual AI actions.
• Excellent executive communication and ability to translate ML concepts to business outcomes.
• Thrives in unstructured, fast-paced environments with ability to manage ambiguity.
• Client-facing consultative mindset and de-escalation skills.
• Advanced degree in CS/AI/Data Science.

Skills

AI/ML & LLM Architectures

RAG & Data Pipelines

API & System Integration

Consulting & Soft Skills

Ambiguity Management

Client-Facing Acumen

Prior FDE Experience

Education

MS/PhD in CS/AI/Data Science

Tools

Pinecone

Milvus

pgvector

LangChain

LlamaIndex

Semantic Kernel

Salesforce Apex

Lightning Web Components

Salesforce Data Cloud

Agentforce

Job description

Prudent Technologies and Consulting, Inc. in the Bay Area (Hybrid) seeks a Senior AI/ML Architect to design and deploy LLM-based solutions across enterprise data stacks.

You will lead RAG pipelines, integrate REST/GraphQL APIs with microservices, and leverage Salesforce Data Cloud and Agentforce to contextualize AI actions for business outcomes. Strong consulting and executive communication skills are essential.