Enterprise AI Architect jobs in United States
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Healthfirst · 8 hours ago

Enterprise AI Architect

Healthfirst is a leading health insurance provider focused on leveraging technology to improve healthcare delivery. The Enterprise AI Architect will work collaboratively with delivery program leaders to define and maintain architectural designs for AI initiatives, ensuring the integration of advanced AI technologies into business processes.

Commercial InsuranceHealth CareHealth InsuranceInsurance
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H1B Sponsor Likelynote

Responsibilities

Collaborates with all delivery programs to assess solution requirements, evaluate AI/ML technologies, and support model/vendor selection
Provides architectural guidance to business domain aligned delivered programs by defining and designing AI‑enabling technologies that support business capabilities, processes, and enterprise initiatives
Supports design and governance of enterprise agentic AI architectures, including autonomous agents, multi‑agent systems, A2A communication patterns, and agent orchestration frameworks
Leads integration of Model Context Protocol (MCP) to standardize tool, service, and data access across agents, ensuring secure, auditable, and consistent interactions
Architects and operationalizes an enterprise Agentic Control Plane (ACP) to manage agent lifecycle, permissions, safety constraints, observability, escalation pathways, and runtime governance
Recommends business processes modernization options using business process management (BPM) and process mining methodologies to support agent-driven or multi‑agent execution
Supports delivery teams in implementing AI solution architectures aligned with enterprise reference architecture, security requirements, and governance protocols
Stays current with developments in AI research, agentic systems, orchestration frameworks, LLM methodologies, and emerging enterprise AI technologies
Conducts technology-neutral due diligence to evaluate AI platforms, agent frameworks, MCP compatibility, ACP infrastructure, and enabling tools
Partners with business stakeholders and delivery leaders to deliver architectural runway for highly composable AI and agent capabilities
Creates and maintains capability models using capability-based planning and human‑centric design methods to support AI strategies
Leads analysis of healthcare industry and AI innovation trends, assessing business impact and recommending actionable strategies
Ensures AI agents adhere to governance, responsible AI principles, privacy expectations, and internal risk frameworks
Establishes KPIs and evaluation frameworks to measure agent performance, A2A interaction quality, ACP governance effectiveness, and business value realization
Coaches architects, product owners, delivery teams, and business partners to build competency in AI architecture and agentic design patterns
Additional duties as assigned

Qualification

AI/ML frameworksAgent-based AI systemsModel Context Protocol (MCP)Agentic Control Plane (ACP)Cloud platformsBusiness process management (BPM)Multi-agent orchestrationA2A communicationEnterprise architecture toolsAgile methodologiesAI/ML librariesKubernetesHadoopHealth insurance models

Required

Master's or bachelor's degree in business, computer science, engineering, systems analysis, or related field, or equivalent experience
Minimum of two years of design and implementation experience in IT, including deep knowledge of AI/ML frameworks, AI development environments, cloud platforms, and big data technologies
Minimum of two years of experience in solution architecture development and delivery, including business architecture interpretation
Experience designing or implementing agent-based AI systems, autonomous agents, multi-agent orchestration, or workflow‑integrated AI components
Working knowledge of business process management (BPM), process modeling, and translating processes into agent-oriented workflows
Understanding of A2A communication principles, MCP-based tool integration, and foundational agent governance concepts
High School diploma or GED from an accredited institution

Preferred

Proficient in enterprise architecture tools and techniques such as strategy-on-a-page, strategic planning, and business model canvas
Exposure to governance and compliance disciplines, including privacy and security management
Demonstrates intellectual curiosity, integrity, and a commitment to responsible AI practices
Understanding of product management, agile methodologies, and development practices; ability to guide teams on architectural impacts, risks, and technical debt
Experience with AI/ML libraries and frameworks (TensorFlow, PyTorch, scikit-learn) and agent orchestration tools (e.g., LangGraph, AutoGen, CrewAI)
Experience implementing or evaluating Model Context Protocol (MCP) integrations for enterprise AI agents
Experience designing or governing Agentic Control Plane (ACP) capabilities, including agent policies, role-based permissions, observability, and safety oversight
Experience with cloud IaaS providers (AWS, Azure), Kubernetes, Spark, Hadoop, or related technologies
Comprehensive understanding of health insurance business models, financial modeling, cost-benefit analysis, and risk management
Experience ensuring AI systems—including agents—conform to ethical AI and regulatory expectations
Ability to evaluate emerging AI and agentic technologies and integrate them effectively into enterprise ecosystems

Benefits

Medical, dental and vision coverage
Incentive and recognition programs
Life insurance
401k contributions

Company

Healthfirst

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Healthfirst is a health insurer providing medical, business, and health insurance services.

H1B Sponsorship

Healthfirst has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (35)
2024 (26)
2023 (19)
2022 (31)
2021 (3)
2020 (11)

Funding

Current Stage
Late Stage

Leadership Team

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Pat Wang
President and CEO
Company data provided by crunchbase