Design and lead end-to-end GenAI/AI solutions for healthcare clients including data ingestion, model development, deployment, monitoring, RAG/agent architectures for unstructured clinical data, ensure HIPAA/security/compliance, drive ROI-aligned reference architectures, support pre-sales and client workshops, and mentor engineering teams.
We are seeking a seasoned AI Solution Architect to design and lead end‑to‑end AI solutions for healthcare clients. This role requires a strong blend of AI/ML & GenAI architecture, healthcare domain knowledge, and client‑facing solutioning experience. The architect will work closely with business stakeholders, data science teams, engineering, and compliance to deliver scalable, secure, and compliant AI solutions that drive measurable business outcomes.
Responsibilities- Design end‑to‑end AI / GenAI solution architectures covering data ingestion, feature engineering, model development, deployment, and monitoring.
- Lead solutioning for healthcare use cases such as:
- Prior Authorization & Utilization Management
- Claims processing & Payment Integrity
- Care Management & Population Health
- Clinical document processing and summarization
- Provider & member analytics
- Architect agentic AI and RAG‑based solutions using LLMs for unstructured healthcare data (clinical notes, policies, contracts, medical records).
- Translate business problems into AI‑driven architectures, ensuring alignment with ROI, scalability, and regulatory requirements.
- Define reference architectures, NFRs, and technology standards for AI platforms.
- Collaborate with data science teams on:
- Model selection and evaluation
- Prompt engineering and orchestration strategies
- Human‑in‑the‑loop (HITL) workflows
- Ensure solutions comply with HIPAA, PHI/PII, security, governance, and AI risk frameworks.
- Provide technical leadership during pre‑sales, client workshops, proposals, and solution walkthroughs.
- Mentor engineers and junior architects; review designs and ensure architectural best practices.
- Stay current with emerging trends in GenAI, agentic workflows, healthcare AI regulations, and cloud AI services.
Core Technical Skills
- Strong foundation in AI/ML, Deep Learning, and GenAI architectures
- Hands‑on experience with LLMs, RAG pipelines, vector databases, and AI agents
- Experience with unstructured data processing (NLP, OCR, Intelligent Document Processing)
- Solid understanding of data engineering & analytics stacks
(Data lakes, data warehouses, ETL/ELT pipelines) - Proficiency with cloud platforms (AWS / Azure / GCP) and AI services
- Experience with microservices, APIs, containerization (Docker/Kubernetes)
Healthcare Domain Expertise(Preferred)
- Knowledge of payer and provider workflows
- Exposure to regulatory and compliance requirements in healthcare
- Proven experience delivering AI solutions in healthcare operations or clinical workflows
Similar Jobs
Agency • Information Technology
Design, architect, and implement AI/GenAI solutions on Azure, including architecture diagrams, model development and deployment, data preprocessing, performance optimization, and technical guidance to engineering teams while engaging clients and staying current on AI/Azure trends.
Top Skills:
AzureAzure Cognitive ServicesAzure Machine LearningDall-EData LakesETLGptLlamaNoSQLPythonPyTorchSQLTensorFlow
Big Data • Cloud • Hardware • Software • App development
Senior AWS-focused cloud solution architect who defines and scales AI & Data delivery: builds reference architectures, presales S OWs/LOEs, provides technical SME support, and performs delivery oversight and architecture reviews to ensure repeatable, governed enterprise AI and data platform outcomes.
Top Skills:
Apache AirflowAthenaAWSAws Step FunctionsBedrockDatabricksDbtEmrEventbridgeGlueGlue Data CatalogKafka (Msk)KinesisLake FormationPrompt EngineeringRagRedshiftSagemakerSnowflakeVector Databases
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Solution Architect will lead AI transformation initiatives, design solution architectures, and ensure governance, focusing on AI strategy and enterprise data integration for clients.
Top Skills:
AIAi AgentsData CatalogsKnowledge GraphsMachine LearningNow AssistRdfServicenowSparql
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
