Principal Solutions Engineer

About the role

The Principal Solutions Engineer will serve as a technical delivery leader within an innovative Agentic AI environment, designing intelligent solutions that connect AI agents with enterprise workflows, services, and productivity tools. The role combines hands-on engineering with solution architecture, enabling seamless employee experiences across multiple platforms and systems. You will architect production-grade agentic solutions using LLMs, RAG, orchestration, and autonomous agent capabilities. Working across Integration, Service Management, Productivity, and engineering teams, you will shape complex cross-platform solutions from concept through deployment and optimization. The position also provides an opportunity to establish reusable engineering patterns, responsible AI practices, and technical standards. As a senior technical contributor, you will mentor engineers, influence architecture decisions, and help advance enterprise AI capabilities. This is a fully remote U.S. position with working hours aligned to the Pacific Time Zone.

Accountabilities

• Design and deliver end-to-end agentic AI solutions that connect enterprise workflows, productivity platforms, services, and data sources.
• Architect complete agent workflows covering intent recognition, reasoning, orchestration, action execution, and response generation.
• Build autonomous AI agents using LLMs, RAG, NLU/NLP, tool-use patterns, and multi-step reasoning.
• Configure and extend agentic AI platforms, developing AI actions, intents, integrations, and knowledge pipelines.
• Lead hands-on implementation from solution design through deployment, optimization, and ongoing operational improvement.
• Ensure solutions are reliable, scalable, observable, secure, and ready for enterprise production environments.
• Implement responsible AI safeguards, including testing, guardrails, PII protection, compliance controls, and governance practices.
• Partner with integration, service management, productivity, and platform engineering teams to develop solutions spanning multiple systems.
• Design reusable API connectors, integration patterns, event-driven architectures, and workflow orchestration capabilities.
• Facilitate architecture reviews, joint planning sessions, design reviews, and cross-functional technical alignment.
• Establish engineering standards and best practices for agentic AI development, testing, deployment, and operations.
• Mentor engineers, conduct technical design reviews, and support automation initiatives that improve team productivity and delivery quality.

Requirements

• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or a related technical discipline.
• 10+ years of professional experience in software engineering, solutions engineering, or a closely related field.
• At least 5 years of experience delivering integrated enterprise solutions across multiple platforms and systems.
• Hands-on experience building agentic AI solutions using LLMs, RAG, NLU/NLP, orchestration frameworks, and related technologies.
• Experience with agentic AI platforms such as Moveworks, ServiceNow AI Agents, Copilot Studio, or comparable solutions.
• Strong proficiency in Python, with experience in JavaScript or TypeScript also valuable.
• Strong knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience designing APIs, event-driven architectures, integrations, and enterprise workflow orchestration.
• Familiarity with CI/CD, DevOps, observability, and production engineering practices.
• Ability to work effectively across cross-functional and matrixed organizations while influencing technical decisions without direct authority.
• Strong solution architecture, analytical, communication, and technical leadership skills.
• Experience with enterprise service management, integration platforms, Microsoft 365, or Power Platform is preferred.
• Knowledge of responsible AI, governance, testing frameworks, knowledge graphs, enterprise search, or content management is a plus.
• Demonstrated ability to establish engineering standards, mentor technical teams, and influence architecture and technology direction.

Benefits

• Expected base salary of $118,500–$165,000 annually, depending on geographic market, skills, experience, education, and other relevant factors.
• Medical, dental, and vision insurance.
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
• Life and Accidental Death & Dismemberment (AD&D) insurance.
• 401(k) retirement plan.
• Tuition reimbursement.
• Additional resources and programs supporting physical, financial, and overall well-being.
• Fully remote work opportunity within the United States.
• Pacific Time Zone schedule of approximately 8:00 AM–5:00 PM PST.
• Inclusive and collaborative environment with opportunities to contribute to advanced AI initiatives and grow technical leadership capabilities.