Virtelligfence is seeking a seasoned AI Architect with deep healthcare domain expertise to lead the design and deployment of enterprise AI solutions across health systems, payers, and value-based care environments. This role sits at the intersection of AI, data, and healthcare operations, driving innovation across clinical, financial, and administrative domains. You will architect and deliver scalable AI solutions that improve outcomes, optimize operations, and enable data-driven decision-making in highly regulated environments.

Key Responsibilities

Define and execute enterprise AI strategy aligned to healthcare priorities (clinical quality, revenue cycle, population health, and payer operations)

Architect AI solutions across

Clinical workflows (decision support, documentation automation, care pathways)

Revenue cycle (coding, billing optimization, denial prediction, prior authorization)

Payer analytics (risk adjustment, utilization management, fraud/waste/abuse detection)

Design and implement GenAI and LLM-based solutions (clinical copilots, RAG pipelines, patient engagement tools)

Build agentic AI systems for workflow automation across EHR, claims, and enterprise platforms

Architect modern healthcare data ecosystems leveraging:

EHR platforms (Epic, Cerner)

Claims, HL7/FHIR integrations

Data platforms (Snowflake, Databricks, Lakehouse architectures)

Establish MLOps / LLMOps frameworks for model lifecycle, monitoring, validation, and governance

Ensure HIPAA compliance, Responsible AI practices, and alignment with healthcare regulatory requirements

Partner with clinical, operational, and executive stakeholders to translate business needs into scalable AI solutions





Lead architecture reviews, mentor teams, and contribute to hands-on solution design and prototyping

Support pre-sales and client engagements including solutioning, proposals, and executive presentations Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

10–15+ years of experience in technology, data, or solution architecture

5+ years designing AI/ML solutions in healthcare or regulated industries

Strong experience with

Healthcare data models (EHR, claims, HL7, FHIR)

AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn)

LLMs / GenAI (OpenAI, Claude, Llama, etc.)

Python, SQL, distributed systems

Hands-on experience designing:

RAG architectures, vector databases, and agent-based systems

Distributed data pipelines and real-time processing frameworks

Experience with cloud platforms (Azure, AWS, or GCP) and modern data stacks (Databricks, Snowflake, Spark)

Proven ability to deliver production-grade AI solutions in healthcare environments

Strong communication skills with ability to engage clinical and executive stakeholders

5+ years designing enterprise AI/ML or data platforms Preferred Qualifications

Experience with Epic (Cogito, Clarity, Caboodle) or Cerner data ecosystems

Background in value-based care, population health,



or managed care analytics

Familiarity with FHIR APIs, interoperability frameworks, and healthcare integrations

Experience with AI governance, model validation, and audit frameworks in healthcare

Exposure to AI-powered clinical or operational decision support systems

Consulting experience supporting large health systems or payer organizations

Master’s or PhD in a related field

Experience with AI coding tools (Copilot, Claude Code, Codex) and AI-driven SDLC automation

Experience with multi-agent systems, knowledge graphs, and real-time AI pipelines

Exposure to DevSecOps, CI/CD, and enterprise application modernization

Consulting or client-facing delivery experience What We’re Looking For A healthcare-first AI leader who understands both technology and clinical/business impact

Ability to bridge clinical, operational, and technical teams

Strong execution mindset—comfortable moving from strategy to hands-on delivery

Passion for improving healthcare outcomes through responsible, scalable AI

Why Join Us

Work with leading health systems and payers on high-impact AI initiatives

Shape the future of AI in healthcare delivery and operations

Collaborative, growth-oriented environment with strong leadership exposure

Opportunity to lead enterprise-scale transformation programs Equal Opportunity Statement

Work with leading health systems and payers on high-impact AI initiatives. Shape the future of AI in healthcare delivery and operations. Collaborative, growth-oriented environment with strong leadership exposure. Opportunity to lead enterprise-scale transformation programs.

📌 AI Architect – Healthcare (Payer/Provider, GenAI & Data Platforms) (Ciudad de México)
🏢 Virtelligence
📍 Ciudad de México