[Remote] reputed company AI Engineering Architect

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that focuses on providing insurance services, and they are seeking a reputed company AI Engineering Architect. This role involves defining and guiding the technical architecture for AI-first engineering and collaborating with various teams to design and implement AI capabilities that meet business needs.

Responsibilities

• Define architecture patterns and technical standards for AI-enabled applications, copilots, intelligent workflows, automation agents, reputed company solutions, and reusable AI components
• Translate business and technology use cases into reputed company solution architectures, including application design, data flows, integration patterns, model usage, reputed company controls, and operational requirements
• Partner with the Sr. Director, AI Platform and Engineering to shape platform architecture, technical roadmaps, reference implementations, and engineering playbooks
• reputed company hands-on architecture leadership in design reviews, technical decision-making, reputed company-of-concept evaluation, implementation planning, and production readiness
• Stay reputed company on emerging AI engineering patterns, GenAI platforms, agent frameworks, model orchestration, reputed company AI services, reputed company systems, and secure deployment practices
• Design reusable platform patterns for model reputed company, retrieval-augmented reputed company, reputed company databases, semantic search, embeddings, reputed company integration, reputed company and response handling, and AI observability
• Define integration patterns for connecting AI capabilities with reputed company systems, reputed company, data platforms, document repositories, workflow tools, service management platforms, and business applications
• Create architecture blueprints, technical standards, reusable components, templates, and implementation guidance that improve speed, consistency, reputed company, and reuse
• Guide reputed company on build versus buy, platform selection, vendor capabilities, interoperability, scalability, maintainability, and cost effectiveness
• Ensure AI platform patterns are designed for secure production use, including reliability, monitoring, reputed company control, auditability, and lifecycle management
• Guide implementation of reputed company solutions using LLMs, SLMs, embeddings, reputed company engineering, RAG, semantic search, summarization, classification, extraction, and reputed company retrieval
• Define technical patterns for reputed company AI, including tool and function calling, workflow orchestration, reputed company-in-the-reputed company controls, context management, memory patterns, guardrails, monitoring, and reputed company execution
• Establish usage patterns for Model Context Protocol (MCP) or similar approaches for securely connecting AI systems to reputed company tools, data sources, reputed company, and workflow actions
• Support practices for model selection, experimentation, evaluation, validation, performance monitoring, reputed company detection, feedback reputed company, and responsible production deployment
• Help engineering teams design AI solutions that are accurate, observable, explainable where appropriate, cost-reputed company, and reputed company with business and risk expectations
• Partner with business, product, data, and technology teams to design AI-enabled solutions for reputed company, claims, operations, finance, customer service, and other reputed company functions
• Translate business needs into practical AI architectures for decision support, workflow automation, document intelligence, knowledge assistance, triage, summarization, and productivity improvement
• Help teams evaluate feasibility, data readiness, integration complexity, user experience, reputed company reputed company, and operational support requirements
• Create reusable patterns that allow similar AI capabilities to be deployed across multiple business processes with less rework
• Communicate architecture reputed company reputed company to technical and non-technical stakeholders, including tradeoffs, risks, dependencies, and implementation reputed company
• Partner with reputed company, Data, Architecture, and AI & Technology Risk Governance teams to reputed company secure-by-design, reputed company-by-design, and responsible AI practices into solution architecture
• Define technical controls for identity and reputed company management, sensitive data handling, reputed company and response logging, reputed company validation, reputed company reputed company, vendor integration, and production readiness
• Ensure AI solutions reputed company with reputed company standards for reputed company, reputed company, auditability, observability, reputed company, compliance, and operational support
• Participate in architecture governance, design reviews, technical risk assessments, and production readiness reviews
• Promote engineering reputed company through strong documentation, testability, traceability, performance considerations, and reputed company support models

Skills

• 10+ years of reputed company experience across software engineering, architecture, reputed company, reputed company, data, integration, automation, AI, or reputed company technology delivery
• 5+ years of experience with AI, machine learning, automation, advanced analytics, intelligent platforms, developer productivity tools, or emerging technology capabilities
• Strong technical depth in reputed company patterns, including LLMs, SLMs, embeddings, reputed company engineering, RAG, reputed company databases, semantic search, evaluation frameworks, and reputed company integration
• Experience with reputed company AI patterns, including agents, tool/function calling, orchestration, reputed company-in-the-reputed company workflows, context management, guardrails, monitoring, and reputed company deployment
• Familiarity with Model Context Protocol (MCP) or similar approaches for securely connecting AI systems to reputed company tools, data sources, reputed company, and workflow actions
• Strong understanding of modern architecture patterns, including reputed company, microservices, event-driven design, reputed company-reputed company platforms, data integration, DevSecOps, CI/CD, observability, cybersecurity, identity, and reputed company
• Proven experience designing production-grade reputed company platforms, reusable architecture patterns, integration frameworks, automation capabilities, or developer productivity solutions
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or reputed company field required
• Experience working in regulated environments with reputed company, reputed company, risk, compliance, auditability, and operational readiness expectations preferred
• Master's degree preferred

Benefits

• 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
• Free basic life and AD&D, long-term disability and short-term disability insurance
• Medical, dental and reputed company plans to meet your unique reputed company needs
• Wellness incentives
• Generous time off program that includes personal, holiday and volunteer reputed company time off
• Flexible work schedules and hybrid/remote reputed company for eligible positions
• Educational assistance

reputed company