Solutions Architect (PST/EST Customer hours)

Glean Work is hiring a Solutions Architect (PST/EST Customer hours) in Bengaluru, India. Level rates it ; you can apply on Glean Work.

Level's read on this job

Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
The posting mentions Claude, Copilot and LangChain among its tools and skills.
Level classes it as a senior role.
Glean Work has 130 other open roles on Level.

AI in this role

claudecopilotlangchaincursorclaude-code

ragai-agents

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.

About the Role:

Glean is seeking a talented Solutions Architect (SA) to join our rapidly expanding, venture-backed startup. Glean is the Work AI platform — powering intelligent search, AI assistants, and scalable AI agents for the world's largest enterprises. Join our hard-working team and elevate your career. We are professional, creative, passionate, and, most importantly — customer-obsessed.

This is not a traditional SA role where you build slide decks. You will write code, build working prototypes, and ship real integrations alongside the customers who use them. If you love toggling between building something technical and advising a customer on how to deploy it, this role is for you.

You will be the primary technical advisor to our customers post-sale, focusing on our Enterprise and Strategic segment, where the architecture and integration demands are high. You will guide customers through their architecture, design, and implementation of Glean within their enterprise environment — and you will build alongside them, not just advise.

You will:

Establish and maintain your role as the customer's primary technical advisor. Think of yourself as the CTO of the customer relationship.
Build working prototypes, tools, and integrations using Glean APIs (Indexing, Search, Chat), RAG workflows, MCP tools, and agent frameworks — directly with and for customers.
Onboard new data sources and implement custom integrations of Glean into customer work environments and business application architectures.
Identify and drive expansion opportunities — including AI assistants, agents, and API-driven applications — within each customer's architecture.
Provide training and guidance to customer technical resources to enable them to manage, support, and extend Glean in their environment.
Troubleshoot and resolve technical issues for your assigned customers, from log analysis to end-to-end transaction tracing.
Work with Product Management and Engineering to drive product improvements based on patterns you observe across customer engagements.

About you:

6 to 10 years of experience in Solutions Architect, or related roles.

Interpersonal skills:

Communication: professional presentation and interaction skills with both customers and internal teams. Able to explain complex AI and integration concepts clearly to technical and non-technical audiences.
Project planning: plan and execute the implementation of customer projects.
Self-motivated: a proactive approach to delivering service to customers.
Detail-oriented: highly organized and methodical, ensuring all issues are managed to completion.
Data-driven: utilize metrics and objective measurements to assess success and improvement opportunities for customers.
Pre or Post-sales Solution Architect experience in a product-led company is a huge plus.

Technical skills:

Software development experience in at least two of the following: Python, Java, Go. You write code regularly — not just in the past.
Hands-on experience building AI-powered applications: RAG pipelines, chatbots, AI assistants, or agentic workflows using LLMs.
API and custom data integration experience in a Hybrid or SaaS environment. Experience with Indexing, Search, or Chat APIs is a plus.
Familiarity with AI developer tooling such as LangChain, vector databases, or Model Context Protocol (MCP).
Technical debugging: log analysis, code analysis, end-to-end transaction tracing.
Networking expertise: a deep understanding of networking, including cloud and on-premise networking.
Experience in at least two of the following disciplines: Software Engineering, Pre-Sales Engineering, Post-Sales Engineering, Professional Services, Developer Relations, Forward Deployed Engineering, or Technical Customer Delivery.
Hands-on experience with Cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
Security and audit experience: able to fully understand the technical and audit framework of the product and represent it with customer security and audit stakeholders.

AI fluency:

You use AI tools (such as Cursor, Claude Code, GitHub Copilot, or similar) as part of how you work — not just what you build.
You can demonstrate something you have personally built using AI, explain how it works, debug it live, and defend your technical choices.
You are comfortable building and demoing working prototypes under time constraints.

Location:

This role is hybrid (4 days a week in our Bangalore office)

Compensation & Benefits:

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.

How we rate this

Solutions Architect (PST/EST Customer hours) at Glean Work rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Solutions Architect (PST/EST Customer hours) is an open job at Glean Work.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Bangalore, India.
The job was posted on June 18, 2024.
Seniority: senior.
Applications are handled by Glean Work. Apply on Glean Work

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsClaudeCopilotLangChainCursorClaude Code

Also common in solutions architect jobs at this level

Generative AI Machine learning SQL Kubernetes Spark Deep learning

Pay

Typical solutions architect job: $168k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
What are the limits of Claude that you've run into, and how did you work around them?
What's a project where you used Copilot hands-on?
Walk me through how you've used LangChain in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, AI agents, Claude, Copilot, and LangChain. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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