AI Architect
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Job Description
AI Architect designing secure, scalable AI and ML solutions for a federal healthcare modernization program. Leading enterprise architecture, cloud integration, MLOps, and responsible AI practices.
Responsibilities:
- 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
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