> Markdown version of [/jobs/ext/735476-staff-enterprise-ai-engineer](https://www.wearedevelopers.com/jobs/ext/735476-staff-enterprise-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Enterprise AI Engineer - **Company:** 6 Sense Insights, Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $181,374.0 - $235,015.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Software as a Service, Cloud Computing, Information Leak Prevention, Decision Support Systems, Data Processing, Office365, Large Language Models, Multi-Agent Systems, Prompt Engineering, Zapier, Information Technology, Integration Frameworks, Graphql, Data Management, Api Design - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cb9db16f6ee0c959 ## About the Role Do you have experience in Technical engineering?, * 7+ years in enterprise engineering, automation, or IT systems * Hands-on experience building integrations and workflows using platforms like Workato or similar * Experience with LLM-based systems including prompt design, agent orchestration, and tool usage * Strong understanding of SaaS ecosystems and API-driven architectures * Experience implementing security and compliance controls in cloud-native environments (AWS preferred) * Ability to operate at both deep technical and strategic levels, * Experience with MCP or similar model context and agent frameworks * Experience with Microsoft 365 Copilot extensibility and Graph API * Experience with Claude or other enterprise LLM platforms * Exposure to AI governance frameworks and responsible AI practices * Background in scaling internal platforms in a high-growth SaaS company, * Systems thinking and platform design * AI & Automation-first mindset * Security and risk awareness in AI systems * Strong technical judgment with bias for action * Ability to simplify complex workflows through AI Success Metrics * Reduction in manual workflows and operational overhead * Measurable productivity gains across key functions * Adoption and impact of reusable AI solutions across teams * Compliance and risk posture of AI systems * Time-to-value for new automation and AI initiatives ## Description We're looking for a Staff Enterprise AI Engineer focused on scaling internal operations across the business through AI-driven systems, agents, and workflow automation. This role designs and delivers secure, production-grade AI solutions that reduce manual work, increase productivity, and improve decision-making across all business functions while maintaining security and privacy., * Design and implement enterprise AI systems using Workato, MCP frameworks, Microsoft 365 Copilot, and Claude * Build and orchestrate AI agents that automate cross-functional workflows across IT, Security, Finance, HR, Legal, Tech and GTM * Develop reusable patterns for agent orchestration, memory, context handling, and human-in-the-loop controls 2. Enterprise Automation and Integration * Lead development of end-to-end automated workflows using Workato and related integration platforms * Connect SaaS systems, data platforms, and internal services into unified AI-powered workflows * Measurably reduce operational toil by eliminating repetitive manual processes 3. AI Governance, Security, and Risk * Embed security, privacy, and compliance controls into AI systems by design * Ensure alignment with SOC 2, ISO 27001, ISO 42001 and AI governance standards * Define guardrails for data handling, prompt security, model access, and agent permissions * Mitigate risks related to prompt injection, data leakage, model misuse, and over-automation 4. Platform Enablement and Scale * Build internal AI capabilities that scale across teams, not one-off solutions * Create reusable templates, SDKs, connectors, and playbooks for AI adoption * Partner with IT, Security, and Enterprise Apps to operationalize AI at scale 5. Productivity and Employee Experience * Leverage Microsoft 365 Copilot and Claude to enhance employee workflows * Identify high-impact productivity use cases across departments * Deploy AI assistants that meaningfully reduce time to complete core tasks 6. Cross-functional Leadership * Partner with senior stakeholders to identify high-value AI opportunities * Translate business problems into scalable AI solutions * Influence roadmap, standards, and adoption strategy across 6sense, * AI agents that triage and resolve IT and security tickets * Automated workflows for finance approvals, HR onboarding, and legal reviews * Copilot-powered employee assistants integrated with enterprise systems * Intelligent orchestration of data across SaaS platforms for decision support ## Related Videos - [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Create a Programmatic SEO Project Using Next.js and Static Site Generation](https://www.wearedevelopers.com/videos/449-create-a-programmatic-seo-project-using-next-js-and-static-site-generation) - [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)