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IT Services, Software Development, Consulting

AI Engineer

United StatesOnsiteFull Time$200,000–$500,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Xcede is seeking a highly skilled AI Platform Engineer to design, develop, and manage advanced AI infrastructure for enterprise environments. This role involves creating federated AI ecosystems, including MCP servers and agents, ensuring seamless deployment across distributed systems. The ideal candidate will have 8+ years of software development experience, a strong understanding of AI/ML infrastructure, distributed systems, and cloud platforms (AWS, Azure, GCP). Responsibilities include architecting AI infrastructure, managing AI agents for code generation and review automation, developing MCP servers, and establishing security and governance frameworks. This is a key role influencing global AI deployment standards.

About The Company
Xcede is a leading global organization renowned for its innovative approach to technology and data-driven solutions. Committed to pushing the boundaries of artificial intelligence and enterprise infrastructure, Xcede specializes in developing scalable, secure, and efficient systems that empower organizations to harness the full potential of AI. Our team comprises industry experts dedicated to building transformative solutions that drive business growth and operational excellence. With a strong focus on research, development, and implementation, Xcede continuously strives to stay at the forefront of technological advancements, fostering a collaborative environment that promotes innovation and professional growth.
About The Role
We are seeking a highly skilled AI Platform Engineer to join our dynamic team at Xcede. In this pivotal role, you will lead the design, development, and management of advanced AI infrastructure tailored for complex enterprise environments. Your expertise will be instrumental in creating federated AI ecosystems, including MCP servers, agents, and enterprise AI tooling, ensuring seamless deployment and operation across distributed systems. The ideal candidate will possess a deep technical understanding, excellent communication skills, and a passion for building scalable and secure AI infrastructure that supports large-scale enterprise initiatives. This role offers a unique opportunity to influence the future of AI deployment at a global level, working on cutting-edge projects that define industry standards.
Qualifications

  • Minimum of 8+ years of professional experience in software development, with a proven track record of architecting and building scalable, enterprise-grade systems.
  • Hands-on experience with AI/ML infrastructure, including agent orchestration, federated systems, or similar AI-powered development tools.
  • Strong understanding of enterprise software architecture patterns, distributed systems design, and best practices for scalable infrastructure.
  • Proficiency with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with experience using infrastructure-as-code tools like Terraform or CloudFormation.
  • Experience working with AI agent frameworks, Large Language Model (LLM) integration, or implementing Model Context Protocol (MCP) solutions.
  • Background in developing federated systems or multi-tenant AI platforms, demonstrating the ability to manage complex, distributed environments.
  • Excellent problem-solving skills, with the ability to design innovative solutions and communicate technical concepts effectively to diverse stakeholders.

Responsibilities

  • Design and implement robust AI infrastructure to facilitate federated agent development and support distributed deployment across various organizational units.
  • Manage and orchestrate AI agents to generate architecturally sound code, ensuring compliance with enterprise standards and best practices.
  • Develop and maintain MCP (Model Context Protocol) servers and related infrastructure to enable efficient agent communication, coordination, and integration with enterprise service buses.
  • Leverage AI agents to automate code review processes, including analysis, quality assurance, and architectural validation, to accelerate development cycles.
  • Establish comprehensive monitoring, governance, and security frameworks to ensure the integrity and safety of AI agent operations within enterprise environments.
  • Collaborate with cross-functional teams to integrate AI infrastructure with existing systems, ensuring seamless interoperability and scalability.
  • Stay updated with the latest advancements in AI infrastructure, recommending improvements and innovative solutions to enhance system performance and security.

Benefits
Xcede offers a competitive compensation package, with a base salary ranging from $200,000 to $500,000 per year, complemented by performance-based bonuses and other incentives. We provide comprehensive health insurance, retirement plans, and generous paid time off to support your well-being. Our organization promotes continuous learning and professional development through training programs, conferences, and access to cutting-edge tools and resources. Additionally, employees enjoy a collaborative and inclusive work environment, flexible working arrangements, and opportunities for career advancement within a global network of industry leaders. At Xcede, we recognize and reward talent, fostering a culture of innovation and excellence.
Equal Opportunity
Xcede is an equal opportunities employer committed to creating an inclusive environment for all employees. We celebrate diversity and are dedicated to ensuring that all qualified candidates receive equal consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that a diverse workforce enhances our creativity and drives our success, and we actively promote a culture of respect, fairness, and inclusion in everything we do.

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