Lead Cloud Solutions Engineer

About Resourcesoft, Inc.

Founded in 1999, Resourcesoft, Inc. is a leading Technology Consulting and Professional Services organization. Headquartered in Marlborough, MA, the company serves the technology needs of its clients nationwide. Resourcesoft has often been recognized by prominent rating agencies for its exemplary growth and stability. With over two decades of industry experience, the Company has evolved as a front runner in enabling project optimization. We partner with leading organizations to provide technology solutions within the financial, insurance, education, government, publishing, healthcare and pharmaceutical domains. We take pride in mentoring a workforce that is well positioned to respond to the emerging IT trends and needs. With the employees at the crux of every business endeavor, our success is driven by our expertise in pairing the right talent with the best jobs in the technology sector. We forge long term, personalized relationships with our employees to advance their career to the next level. We engage them in technology centric client projects that provide opportunities for them to evolve, innovate and deliver world class products and services. Our career opportunities offer challenging assignments and exposure to emerging and cutting edge technologies. We are committed to providing our employees with the tools necessary to accelerate their career progression, while maintaining a healthy, work-life balance. We are deeply committed to providing a workplace ambience that is both challenging and fulfilling.

Resourcesoft is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

For more information about Resourcesoft and our services, please visit our website.

Requirements

• 5 or more years of experience in cloud engineering and building LLM-based enterprise applications.
• Proficiency in Python and TypeScript development for scalable artificial intelligence solutions.
• Experience with deploying AI agents utilizing Microsoft Copilot Studio, AWS Agent Core, and Google Vertex AI.
• Experience in implementing Retrieval-Augmented Generation architectures and integrating data repositories.
• Experience with building autonomous agent workflows including tool calling, intent handling, and orchestration.
• Experience in configuring secure APIs, authentication protocols, and CI/CD pipelines across major cloud platforms.
• Excellent verbal and written communication skills.

Responsibilities

• Architect and deploy production-ready artificial intelligence agents across diverse enterprise cloud ecosystems.
• Develop complex agent workflows incorporating memory usage, external tool calling, and multi-step task execution.
• Integrate intelligent autonomous solutions with corporate systems including ServiceNow and secure internal APIs.
• Optimize system prompts, instructions, and grounding strategies to guarantee reliable and consistent model behaviors.
• Establish rigorous security controls, identity authorization boundaries, and data access policies for AI deployments.
• Manage the full lifecycle deployment of AI services across development, testing, and production environments.
• Monitor operational performance, troubleshoot integration failures, and analyze usage logs for continuous system improvement.