前向部署工程师
Forward Deployed Engineer
关于Brillio：
Brillio是增长最快的数字技术服务商之一，是许多财富1000强公司选择的合作伙伴，这些公司希望通过创新的数字化应用将颠覆转化为竞争优势。Brillio以其世界级的专业人才——被称为“Brillians”的员工而闻名，他们能够无缝地将前沿的数字和设计思维技能与对客户满意度的坚定承诺相结合。
Brillio以成为首选雇主为荣，由于其对现代、突破性技术和专属数字项目的持续关注，一直吸引着最优秀和最有才华的人才。Brillio对为其Brillians提供卓越体验并培养其全部潜力的不懈承诺，使其年复一年获得Great Place to Work®认证。
职位简介：
我们正在寻找一位AI架构师——医疗AI转型专家，与美国最大的医疗保险公司之一合作，设计并扩展AI驱动的转型计划。该职位位于AI架构、医疗运营、企业技术和业务转型的交汇点。
AI架构师将直接与高管领导、业务利益相关者、临床和运营团队以及工程组织合作，识别高价值的AI机会，定义企业级AI战略，构建解决方案，并从概念到生产阶段指导实施。
该职位超越传统的架构工作。成功的候选人将结合深厚的AI工程专业知识和医疗领域理解，利用生成式AI、代理AI、大语言模型（LLMs）和智能自动化重新设计业务流程，使组织具备AI原生能力。
主要职责：
• 直接与医疗高管、业务利益相关者、临床领导者和技术团队合作，识别AI转型机会并定义AI驱动的解决方案。
• 将复杂的医疗业务挑战转化为可扩展的AI架构、技术策略和实施路线图。
• 设计和构建企业级AI解决方案，利用生成式AI、大语言模型（LLMs）、AI代理、检索增强生成（RAG）和智能自动化。
• 定义AI解决方案模式，包括多代理架构、工作流编排、知识库等。
查看英文原文
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
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.
Role Brief:
We are seeking an AI Architect – Healthcare AI Transformation to partner with one of the largest healthcare payers in the United States to design and scale AI-driven transformation initiatives. This role operates at the intersection of AI architecture, healthcare operations, enterprise technology, and business transformation.
The AI Architect will work directly with executive leaders, business stakeholders, clinical and operational teams, and engineering organizations to identify high-value AI opportunities, define enterprise AI strategies, architect solutions, and guide implementation from concept through production.
This role goes beyond traditional architecture. The successful candidate will combine deep AI engineering expertise with healthcare domain understanding to redesign business processes using Generative AI, Agentic AI, LLMs, and intelligent automation while enabling organizations to become AI-native.
Key Responsibilities:
• 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 and architect enterprise AI solutions leveraging Generative AI, Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and intelligent automation.
• Define AI solution patterns including multi-agent architectures, workflow orchestration, knowledge retrieval systems, and enterprise AI integrations.
• Lead AI solution development from discovery and architecture through prototyping, production deployment, and optimization.
• Design AI-enabled workflows to transform healthcare operations including claims processing, prior authorization, care management, provider operations, member services, and payment integrity.
• 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.
• Establish AI architecture standards, best practices, reusable frameworks, and accelerators for enterprise AI delivery.
• 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.
• Mentor engineering teams and enable business teams to adopt AI tools, workflows, and AI-native operating models.
Required Skills & Experience:
• 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.
Good to Have:
• Experience as an AI Architect, Forward Deployed Engineer, Solutions Architect, or Consulting Architect.
• Experience building agentic AI systems using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel.
• Experience with Claude (Anthropic), OpenAI, Gemini, or other enterprise LLM platforms.
• Experience developing healthcare AI solutions for:
o Claims processing and adjudication
o Prior authorization
o Utilization management
o Care management
o Member/provider engagement
o Revenue cycle management
o Payment integrity
• Familiarity with healthcare data standards including HL7, FHIR, ICD-10, CPT, and claims data structures.
• Experience with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and enterprise search solutions.
• Experience integrating AI solutions with enterprise platforms such as Salesforce, ServiceNow, Epic, or healthcare workflow systems.
• Experience creating reusable AI accelerators, reference architectures, and enterprise AI frameworks.
• Experience supporting AI adoption, enablement, and training for business and engineering teams.
• Experience working in highly regulated industries where security, governance, and auditability are required.
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Originally posted on Himalayas