This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Solutions Engineer based in United States.
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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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