AI Engineer - W2 -PA, TX, DC, DE, MD, VA

ON-SITE – AI Engineer at Harrisburg, PA, TX, DC, DE, MD, VA for Long Term Contract & GC

Introduction:

A senior technical subject matter expert responsible for the architecture, design, implementation, advancement, and ongoing support of enterprise AI platforms and related technologies across the Agency. The role spans the leading AI ecosystems—including Microsoft (Copilot, Foundry, Power Platform), Amazon Web Services (Bedrock, SageMaker, and related AI services), and other major providers such as Google Cloud (Vertex AI) and open-source/foundation-model platforms. The Senior AI Engineer is expected to possess deep, cross-platform expertise in enterprise AI administration, low-code and pro-code solution development, and integration across cloud AI services.

Responsibilities:

• Provide senior-level engineering expertise across leading enterprise AI platforms
• Perform design, configuration, optimization, and lifecycle administration of AI services across multiple cloud providers
• Develop architectural standards, governance models, operational processes, and technical documentation
• Provide advanced troubleshooting and escalation support for complex AI platform issues
• Develop advanced automation solutions to improve operational efficiency
• Evaluate roadmap changes and emerging technologies across Microsoft, AWS, and the broader AI ecosystem

Requirements:

Education and Experience:

• Bachelor's degree in Computer Science, Information Technology, or a related discipline
• 3+ years of relevant experience in AI platform administration and engineering
• Strong experience with AI solution development, workflow automation, and business process improvement
• Advanced knowledge of authentication technologies, security practices, and AI platform administration
• Ability to provide technical guidance and knowledge sharing with other IT professionals
• Effective communication skills to translate complex technical concepts for business stakeholders

Preferred Qualifications:

• Experience with enterprise AI administration and agent/assistant development on major platforms
• Advanced low-code and enterprise automation platform architecture
• Experience integrating and operating AI services across multiple clouds
• Experience with APIs and cloud development technologies
• Familiarity with foundation models and model providers