Brillio
AI Architect, Principal Frontline AI Engineer - Healthcare
Jersey City, New Jersey, United States · Principal
Sponsorship not specified$200k-$300kDetected 62 days ago
PythonVector DatabasesAWSGCPAzureCloud PlatformsMachine LearningData ScienceLLMsRAGAgentic AILangGraphAI OrchestrationComplianceSalesforceHIPAAEpicHL7/FHIRICD-10Public SpeakingClaims Management
About the role
- Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects.
- Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
- This role operates at the intersection of AI architecture, healthcare operations, enterprise technology, and business transformation.
Responsibilities
- Design and architect enterprise AI solutions leveraging Generative AI, Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and intelligent automation.
- Lead AI solution development from discovery and architecture through prototyping, production deployment, and optimization.
- Build and guide implementation of AI applications using modern AI frameworks, cloud platforms, APIs, and enterprise data ecosystems.
- Collaborate with engineering, data science, product, security, and governance teams to ensure scalable, secure, and responsible AI adoption.
- Support AI governance practices including model monitoring, explainability, security, compliance, and responsible AI implementation.
- Lead technical workshops, architecture reviews, executive presentations, and solution demonstrations with client stakeholders.
- Experience building agentic AI systems using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel.
Requirements
- Experience creating reusable AI accelerators, reference architectures, and enterprise AI frameworks.
- Experience supporting AI adoption, enablement, and training for business and engineering teams.
Nice to have
- Experience as an AI Architect, Forward Deployed Engineer, Solutions Architect, or Consulting Architect.
- Experience with Claude (Anthropic), OpenAI, Gemini, or other enterprise LLM platforms.
- o Claims processing and adjudication
- o Prior authorization
- o Utilization management
- o Care management
- o Member/provider engagement
- o Revenue cycle management
Skills
- 10+ years of experience in software engineering, AI engineering, machine learning, enterprise architecture, or digital transformation.
- Hands-on experience designing and implementing Generative AI and AI/ML solutions in enterprise environments.
- Strong understanding of Large Language Models (LLMs), AI agents, prompt engineering, RAG architectures, and AI application patterns.
- Experience architecting and delivering production-grade AI solutions from concept through deployment.
- Strong software engineering background with proficiency in Python, APIs, microservices, and cloud-based application development.
- Experience designing AI workflows, orchestration patterns, tool integrations, and enterprise AI architectures.
- Experience working with cloud AI platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Ability to translate business requirements into technical architectures and communicate solutions to both technical and executive audiences.
- Experience working directly with business stakeholders, clients, or cross-functional teams in a consulting or enterprise environment.
- Experience with AI governance, security, monitoring, evaluation frameworks, and responsible AI practices.
- Healthcare industry experience with understanding of payer/provider workflows, healthcare operations, and regulated environments.
- Knowledge of healthcare compliance considerations including HIPAA and healthcare data privacy.
Compensation
- $200k-$300k
Benefits
- Partner directly with healthcare executives, business stakeholders, clinical leaders, and technology teams to identify AI transformation opportunities and define AI-driven solutions.
- Translate complex healthcare business challenges into scalable AI architectures, technical strategies, and implementation roadmaps.
- Design AI-enabled workflows to transform healthcare operations including claims processing, prior authorization, care management, provider operations, member services, and payment integrity.
- Experience developing healthcare AI solutions for:
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This listing is sourced directly from Brillio's careers page and normalized into a canonical job model.