AI Architect

🕒 January 6

🇺🇸 United States – Remote

💵 $155.7k - $183k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Confluent

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

💰 Secondary Market on 2021-06

Artificial Intelligence • SaaS • Cloud Computing

Confluent is a company that specializes in data streaming platforms which turn real-time data events into actionable outcomes. Their solutions enable the development of intelligent, real-time applications, empowering teams and systems to respond to data instantly. Confluent builds a new data category that impacts the real world by providing the infrastructure for real-time data streaming, which is recognized and partnered with major tech companies like Google Cloud and Microsoft. The company maintains a remote-first culture, hiring talent from over 25 countries, and values diversity and inclusivity in their workplace.

📋 Description

• Design for Action: Build AI integrations that do more than just summarize text. Design systems that can securely read from and write back to our core platforms (e.g., updating a record in Salesforce or drafting a response in Zendesk). • Secure Data Flow: Architect the integration layer between external LLM providers (Google, Anthropic, OpenAI) and internal data. Ensure all data retrieval is governed by strict permissions so users are only able to access data they are authorized to see. • Scalability: Design a model-agnostic inference layer that allows us to switch between models based on performance and cost requirements. • Backend Engineering: Write production-ready code using modern agent frameworks (ADK, LangChain). This is a technical role that requires coding. • Retrieval Augmented Generation (RAG): Implement robust RAG pipelines to ground AI responses in company data. This includes managing vector databases and optimizing search strategies (hybrid search, reranking) to ensure accuracy. • Deployment: Set up the CI/CD pipelines and infrastructure required to deploy and maintain these services in a cloud environment. • Evaluation: Move beyond "eye-balling" results. Implement automated testing frameworks to measure response accuracy, latency, and costs before deploying changes. • Data Privacy: Ensure strict handling of PII and adherence to enterprise security standards. You will be the gatekeeper for how sensitive data is exposed to LLMs. • Requirements Gathering: Partner with leaders in Sales, Marketing, and Support to identify high-impact automation opportunities. Translate business needs into technical specifications.

🎯 Requirements

• 8+ years of experience in software development with strong proficiency in Python and API design (REST). • 2+ years of experience building LLM-powered applications or agents (using libraries like LangChain or ADK). • Experience with Vector Databases (e.g., Pinecone, pgvector) and building pipelines to process unstructured text. • Hands-on experience deploying services on AWS, Azure, or GCP. • Proven experience integrating custom applications with SaaS platforms like Salesforce, NetSuite, or Zendesk. You understand their data models and API constraints. • Ability to explain technical concepts to non-technical stakeholders and collaborate effectively with product managers and business analysts.

🏖️ Benefits

• Offers Equity