Urgent Role:- Senior AI Engineer – Privacy // 100% Remote
Rasani Revanth
Hi Vendors,I hope your day is going wellPlease find the below requirements and let me know your response with an updated resume.
Job Title: Senior AI Engineer – Privacy
Location: Bellevue, WA (Remote)
NO GC
Job Summary
We are seeking a Senior AI Engineer – Privacy to design, build, and operationalize AI-powered privacy solutions at enterprise scale. This role will focus on developing agentic AI systems, LLM-powered applications, Retrieval-Augmented Generation (RAG) platforms, and intelligent automation solutions that support privacy operations, compliance monitoring, consent management, and data subject request processing for millions of customers.
The ideal candidate will have strong expertise in Generative AI, Azure cloud technologies, Databricks, Snowflake, MLOps, and production-scale AI deployments.
Required Skills
7+ years of experience in AI/ML Engineering
Strong experience with Large Language Models (LLMs), Generative AI, and Agentic AI systems
Hands-on experience building RAG (Retrieval-Augmented Generation) solutions
Experience with AI orchestration frameworks such as LangChain, LangGraph, Google ADK, or similar
Strong experience with Azure Cloud and Azure Data Factory (ADF)
Experience with GitLab and CI/CD pipelines
5+ years of experience with Databricks and Snowflake
Strong programming skills in Python and PySpark
Experience with vector databases, embeddings, and semantic search
Experience deploying AI workloads using Docker and Kubernetes
Knowledge of MLOps practices and model lifecycle management
Experience with monitoring tools such as Splunk, Grafana, or AppDynamics
Responsibilities
AI & Agent Engineering
Design and develop multi-agent AI systems and orchestration frameworks.
Build and deploy RAG-based applications integrating enterprise knowledge sources.
Develop AI-powered automation solutions for privacy operations and compliance workflows.
Implement structured prompting, tool calling, and MCP-based architectures.
Enable human-in-the-loop controls and governance mechanisms for AI-assisted decision-making.
Data Engineering & Machine Learning
Build scalable data pipelines using Azure Data Factory, Databricks, Snowflake, and PySpark.
Develop embedding pipelines and vector search capabilities for enterprise knowledge retrieval.
Fine-tune and optimize foundation models for privacy and compliance use cases.
Ensure data quality, governance, lineage, and security across AI pipelines.
Cloud & MLOps
Deploy AI services on Azure and AWS environments.
Build CI/CD pipelines for AI applications using GitLab and Azure DevOps.
Implement model monitoring, observability, and performance tracking.
Manage containerized workloads using Docker and Kubernetes.
Privacy & Compliance
Develop AI solutions aligned with privacy regulations including CCPA, CPRA, and TCPA.
Implement Responsible AI practices including explainability, transparency, and fairness.
Create audit trails and governance controls for AI-driven privacy workflows.
Collaborate with legal, compliance, and privacy teams to translate regulatory requirements into technical solutions.
Leadership & Collaboration
Partner with engineering, product, privacy, and compliance stakeholders.
Mentor junior engineers and promote AI engineering best practices.
Create architecture documentation and technical design artifacts.
Contribute to reusable AI frameworks, accelerators, and engineering standards.
Preferred Qualifications
Experience in privacy, governance, compliance, or risk management domains.
Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
Knowledge of Responsible AI frameworks and governance models.
Experience building enterprise-scale AI applications and agentic workflows.
Work Authorization & Location
Remote role supporting the Bellevue, WA team.
Must be able to work effectively with distributed teams across multiple functions.