AI Architect

Job not on LinkedIn

🔥 1 minute ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $65 - $70 / hour

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ELYON International

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

ELYON International is a company specializing in IT modernization solutions for both commercial businesses and government agencies. With over 26 years in business and a team of 180 consultants operating across 22 states, ELYON offers a wide range of services including infrastructure, application, data, and security modernization. The company emphasizes an outcomes-based approach to revamp IT ecosystems, ensuring organizations keep up with technological advancements. ELYON also provides cybersecurity and risk management, cloud services, IT workforce solutions, and identity and access management to enhance operational efficiency and security. Their solutions are designed to enhance both business competitiveness and governmental responsiveness in the rapidly evolving digital landscape.

📋 Description

• Define enterprise AI architecture, technical strategy, standards, and solution patterns • Design scalable AI, machine learning, and generative AI solutions for complex healthcare and enterprise use cases • Lead architecture and technical design activities from proof of concept through production deployment • Evaluate AI/ML models, platforms, frameworks, and cloud services based on business and technical requirements • Design solutions leveraging LLMs, generative AI, NLP, machine learning, and intelligent automation • Develop architectural approaches for RAG, enterprise search, knowledge management, and AI-enabled applications • Design secure integration patterns between AI capabilities, enterprise applications, APIs, data platforms, and cloud environments • Partner with data engineering and analytics teams to establish data architecture for AI solutions • Provide architectural guidance for MLOps, model deployment, monitoring, versioning, and lifecycle management • Establish reusable AI architecture patterns, frameworks, and technical standards • Ensure AI solutions meet federal security, privacy, accessibility, data governance, and compliance requirements • Participate in architecture reviews, technical evaluations, and solution design sessions • Collaborate with cybersecurity teams to identify and address AI implementation risks • Provide technical leadership and mentoring to AI/ML engineers, data scientists, developers, and other technical team members • Communicate complex AI concepts and architectural recommendations to technical and non-technical stakeholders • Support responsible AI practices, including governance, transparency, security, and human oversight

🎯 Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, or a related technical discipline • 7+ years of progressive technology experience, including significant experience in enterprise solution or cloud architecture • Demonstrated experience architecting AI/ML solutions in complex enterprise environments • Experience designing and implementing machine learning and generative AI solutions • Strong knowledge of LLMs, NLP, machine learning, data engineering, and modern AI architecture • Experience with public cloud AI/ML platforms such as Microsoft Azure, AWS, or GCP • Understanding of APIs, microservices, enterprise integration patterns, and distributed architectures • Experience with Python and modern AI/ML frameworks • Experience with MLOps, CI/CD, model deployment, monitoring, and lifecycle management • Strong understanding of cloud security, identity and access management, and data protection principles • Excellent communication, problem-solving, and stakeholder engagement skills • Ability to meet applicable federal background investigation requirements

🏖️ Benefits

• Paid sick leave • Optional medical and dental insurance • Optional 401(k) retirement plan • Employer-paid life insurance • Employer-paid short-term disability insurance • Optional life insurance