Senior AI Solutions Architect for Enterprise AI

Accellor; San Jose (CA); On-site; USD 200,000 - 225,000; Full time

Job summary

Accellor, an AI-native services firm, is seeking a Senior AI Solutions Engineer to design and deploy production-grade AI solutions. You will build LLM-powered apps, implement RAG architectures, and integrate AI with enterprise systems using Glean, Python, and APIs.

You will collaborate with business and technical stakeholders to translate requirements into scalable, secure AI solutions while emphasizing testing, observability, and performance.

Qualifications

• 5+ years of professional software engineering, solutions engineering, or AI application development experience.
• Hands-on experience implementing, configuring, integrating, or developing solutions with Glean AI.
• Strong hands-on Python development experience.
• Experience developing production applications using LLMs and generative AI.
• Experience designing and implementing RAG architectures, enterprise search, vector search, embeddings, and knowledge retrieval.
• Experience integrating AI solutions with APIs, databases, enterprise applications, and knowledge sources.
• Understanding of agentic AI concepts, including tool calling, MCP, and multi-agent workflows.
• Strong software engineering fundamentals, including APIs, testing, security, scalability, and production support.

Responsibilities

• Design, build, and deploy production-grade enterprise AI solutions using Glean and Python.
• Configure, extend, and integrate Glean AI to create intelligent enterprise search, knowledge discovery, and AI-powered experiences.
• Build LLM-powered applications using prompt engineering, model integrations, tool calling, and AI workflows.
• Design and implement RAG solutions using embeddings, vector search, retrieval, knowledge grounding, and evaluation.
• Connect Glean and AI applications with enterprise platforms, external APIs, databases, and knowledge sources.
• Build scalable backend services, APIs, data models, connectors, and application integrations.
• Develop agentic AI workflows using tools such as MCP and multi-agent patterns where appropriate.
• Partner directly with business and technical stakeholders to understand use cases, translate ambiguous requirements, and design practical AI solutions.
• Apply strong engineering practices around testing, security, observability, scalability, and performance.

Skills

Python development

LLM applications

RAG architectures

API integration

Problem-solving & communication

Tools

Glean AI

Job description

Accellor, an AI-native services firm, is seeking a Senior AI Solutions Engineer to design and deploy production-grade AI solutions. You will build LLM-powered apps, implement RAG architectures, and integrate AI with enterprise systems using Glean, Python, and APIs.

You will collaborate with business and technical stakeholders to translate requirements into scalable, secure AI solutions while emphasizing testing, observability, and performance.