Lead Solutions Architect (AI)

Location: Remote nationwide within the United States; occasional travel to hirify.global offices may be required. Dedicated workspace and home internet with at least 25 Mbps download and 10 Mbps upload are required to protect PHI/HIPAA information.

Salary: $142,300–$195,700 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare company providing insurance services and CenterWell healthcare services to Medicare, Medicaid, military, individual, family, and community customers.

What you will do

• Own end-to-end solution architecture for Home Health initiatives and translate business outcomes into composable designs.
• Author and maintain reference architectures and reusable patterns for data platforms, clinical-document NLP, RPA/automation, and interoperability.
• Lead architecture checkpoints, risk reviews, governance forums, and compliance validation against security, privacy, and regulatory requirements.
• Define integration contracts, domain boundaries, solution blueprints, and data flows across provider data, EMR, Snowflake, Databricks, and Azure platforms.
• Enable delivery by defining architectural runways and measurable non-functional requirements for availability, performance, resilience, observability, lineage, and data protection.
• Collaborate with product, engineering, security, data, operations, enterprise architecture, and executive stakeholders while establishing architecture review processes.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• At least 8 years of progressive information technology experience directly related to architecture/engineering, information security, or another specialized technology field, including 5+ years of solution architecture experience in healthcare delivery or payer/provider ecosystems.
• Experience delivering in regulated environments involving HIPAA and PHI.
• Hands-on architecture experience with Azure, Snowflake, and Databricks, including data lake and data platform patterns, data sharing, identity and access management, and vault/secrets management.
• Experience producing reference architectures and governing solution designs across multiple teams.
• Strong competency in APIs, event-driven integration, security models, and non-functional requirements.
• Hands-on experience delivering generative and agentic AI on Google Cloud, Azure, and AWS using services such as Vertex AI, Azure OpenAI, and Amazon Bedrock, including RAG, fine-tuning, prompt and knowledge management, and secure data integrations.
• Expertise in agent orchestration, including tool and function calling, planning, memory, and multi-agent collaboration; enterprise security, compliance, and responsible-AI guardrails; and MLOps/LLMOps for observability, evaluation, and cost/performance optimization.
• Ability to integrate AI systems with event-driven microservices, vector databases or feature stores, and CI/CD pipelines while leading scalable cross-cloud reference architectures.

Nice to have

• Experience with long- and short-term memory, context management, human-in-the-loop review and override workflows, safety guardrails, policy enforcement, telemetry, tracing, evaluation, A/B testing, retries, fallbacks, deterministic handoffs, and API or MCP tool ecosystem integration.

Culture & Benefits

• Full-time schedule of 40 hours per week in a remote role, with occasional office travel for training or meetings.
• Dedicated home workspace and compliant internet service are required for effective remote work.
• Benefits include medical, dental, and vision coverage, 401(k), paid time off, company and personal holidays, paid parental and caregiver leave, disability coverage, and life insurance.
• Work supports whole-person well-being and personal wellness.