ai systems architect

Carease Health

<div>AI Architect
About Carease Health
Carease Health is a nationwide preventative healthcare company focused on reducing hospitalizations and improving outcomes for high-risk patients.
We are dedicated to improving the lives of nursing home residents through remote patient monitoring, chronic care management, and psychiatric collaborative care services.
Our mission is to keep patients healthier, safer, and supported outside of the hospital setting by leveraging technology, clinical expertise, and proactive care coordination.
At Carease Health, we believe in teamwork, compassion, and supporting one another so every employee feels valued and empowered to make a real difference in patient care.
Role Overview
We are seeking a highly skilled AI Architect to design, build, and scale production AI systems that power clinical, operational, and revenue workflows across the organization.
This is a hands-on architecture role. You will not only design systems but also actively build and deploy them in production environments.
You will be responsible for shaping how AI is used across the company, including large language model applications, automation systems, and integrations across healthcare platforms.
What You Will Do<ul><li>Design and build production-grade AI systems using LLM APIs such as OpenAI and Claude</li><li>Architect scalable workflow automation across clinical, billing, and operational teams</li><li>Build and maintain integrations with EMR, CRM, and internal healthcare systems</li><li>Develop internal tools, dashboards, and AI-powered utilities used across the organization</li><li>Work closely with leadership to identify opportunities to apply AI to real operational problems</li><li>Define system architecture, data flows, and infrastructure patterns for AI adoption at scale</li><li>Ensure reliability, security, and performance of AI-driven systems in a healthcare environment</li></ul>
What We Are Looking For<ul><li>Strong hands-on experience in software engineering, preferably backend (Python, Node.js, or similar)</li><li>Proven experience building and scaling production systems</li><li>Deep familiarity with APIs, system integrations, and distributed systems concepts</li><li>Experience working with or deploying LLM-based applications is strongly preferred</li><li>Ability to design end-to-end system architecture and own technical decisions</li><li>Strong problem-solving skills and ability to work across complex systems</li></ul>
Nice to Have<ul><li>Experience in healthcare technology, EMR systems, or clinical workflows</li><li>Background in workflow automation or enterprise system integration</li><li>Experience with data pipelines, orchestration frameworks, or event-driven systems</li><li>Familiarity with compliance-sensitive environments (HIPAA or similar)</li></ul>
Why Join Carease Health<ul><li>High-impact work directly improving patient outcomes</li><li>Opportunity to shape the AI strategy and architecture of a growing healthcare organization</li><li>Direct collaboration with leadership and decision-makers</li><li>Fast-moving environment with high ownership and autonomy</li><li>Meaningful mission focused on reducing hospitalizations and improving quality of care</li></ul>
Compensation and Location<ul><li>Salary: $200,000 to $240,000 base</li><li>Performance-based bonus</li><li>Location: Lakewood, NJ and NYC</li><li>Hybrid preferred</li></ul>
How to Apply
If you are excited about building real-world AI systems that directly impact patient care, we encourage you to apply.
Please submit your resume and any relevant project or system experience.</div>

AI Architect Hybrid

<div>Carease Health is a nationwide preventative healthcare company focused on reducing hospitalizations and improving outcomes for high-risk patients.
We are dedicated to improving the lives of nursing home residents through remote patient monitoring, chronic care management, and psychiatric collaborative care services.
Our mission is to keep patients healthier, safer, and supported outside of the hospital setting by leveraging technology, clinical expertise, and proactive care coordination.
At Carease Health, we believe in teamwork, compassion, and supporting one another so every employee feels valued and empowered to make a real difference in patient care.
Role Overview
We are seeking a highly skilled AI Architect to design, build, and scale production AI systems that power clinical, operational, and revenue workflows across the organization.
This is a hands-on architecture role. You will not only design systems but also actively build and deploy them in production environments.
You will be responsible for shaping how AI is used across the company, including large language model applications, automation systems, and integrations across healthcare platforms.
What You Will Do<ul><li>Design and build production-grade AI systems using LLM APIs such as OpenAI and Claude</li><li>Architect scalable workflow automation across clinical, billing, and operational teams</li><li>Build and maintain integrations with EMR, CRM, and internal healthcare systems</li><li>Develop internal tools, dashboards, and AI-powered utilities used across the organization</li><li>Work closely with leadership to identify opportunities to apply AI to real operational problems</li><li>Define system architecture, data flows, and infrastructure patterns for AI adoption at scale</li><li>Ensure reliability, security, and performance of AI-driven systems in a healthcare environment</li></ul>
What We Are Looking For<ul><li>Strong hands-on experience in software engineering, preferably backend (Python, Node.js, or similar)</li><li>Proven experience building and scaling production systems</li><li>Deep familiarity with APIs, system integrations, and distributed systems concepts</li><li>Experience working with or deploying LLM-based applications is strongly preferred</li><li>Ability to design end-to-end system architecture and own technical decisions</li><li>Strong problem-solving skills and ability to work across complex systems</li></ul>
Nice to Have<ul><li>Experience in healthcare technology, EMR systems, or clinical workflows</li><li>Background in workflow automation or enterprise system integration</li><li>Experience with data pipelines, orchestration frameworks, or event-driven systems</li><li>Familiarity with compliance-sensitive environments (HIPAA or similar)</li></ul>
Why Join Carease Health<ul><li>High-impact work directly improving patient outcomes</li><li>Opportunity to shape the AI strategy and architecture of a growing healthcare organization</li><li>Direct collaboration with leadership and decision-makers</li><li>Fast-moving environment with high ownership and autonomy</li><li>Meaningful mission focused on reducing hospitalizations and improving quality of care</li></ul> 
If you are excited about building real-world AI systems that directly impact patient care, we encourage you to apply.
Please submit your resume and any relevant project or system experience.</div>

PureCS

<div>
 
 
 About Us:
 
 
 
 
 
 
 Pure Health is the UAE&rsquo;s largest integrated healthcare platform, committed to elevating the nation&rsquo;s health standards through innovation, technology, and operational excellence. PureCS operates as a key technology and procurement arm within the Pure Health ecosystem, driving digital infrastructure, systems optimisation, and strategic sourcing initiatives that support large-scale national projects.
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 We are seeking a seasoned Microservices Architect with extensive experience in designing and implementing distributed systems. The ideal candidate will have deep expertise in microservices architecture, API design, containerization, cloud-native solutions. This role requires strong leadership, hands-on technical skills, and the ability to guide teams in building scalable, secure, and resilient applications. The ideal candidate must have hands-on experience with modern AI orchestration frameworks and scalable system design.
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Design and implement microservices-based architectures for large-scale enterprise applications.
 </li>
 <li>
 Define API standards, communication protocols (REST, gRPC), and service contracts.
 </li>
 <li>
 Lead migration from monolithic systems to microservices, ensuring minimal downtime and data integrity.
 </li>
 <li>
 Architect containerized solutions using Docker and Kubernetes, including Helm for deployment
 </li>
 <li>
 Design multi-agent workflows that interact seamlessly with existing enterprise APIs using LangGraph or similar agent orchestration frameworks (e.g., CrewAI, Microsoft AutoGen, or Semantic Kernel).
 </li>
 <li>
 Implement observability practices including logging, metrics, and distributed tracing (Prometheus, Grafana, OpenTelemetry).
 </li>
 <li>
 Architect scalable solutions for the efficient handling of memory and context window limits, enabling AI agents to reliably maintain short-term state and long-term memory across stateless distributed environments.
 </li>
 <li>
 Ensure security best practices across services (OAuth2, JWT, API Gateway, rate limiting).
 </li>
 <li>
 Collaborate with product owners, developers, and DevOps teams to align architecture with business goals.
 </li>
 <li>
 Mentor engineering teams on microservices principles, domain-driven design, and event-driven architecture.
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 12+ years of experience in software development with at least 5 years in microservices architecture.
 </li>
 <li>
 Strong knowledge of distributed systems, service discovery, and API management.
 </li>
 <li>
 Exposure to MLOps and AI system observability.
 </li>
 <li>
 Hands-on experience with Docker, Kubernetes, and Helm for container orchestration.
 </li>
 <li>
 Design multi-agent workflows that interact seamlessly with existing enterprise APIs using LangGraph or similar agent orchestration frameworks such as CrewAI, Microsoft AutoGen, or Semantic Kernel.
 </li>
 <li>
 Proficiency in designing RESTful and gRPC APIs, and implementing API gateways
 </li>
 <li>
 Enhance information architecture using Knowledge Graphs (e.g., Neo4j, Amazon Neptune, or GraphDB) to improve semantic data retrieval, enrich RAG pipelines, and ground data for use in complex agentic workflows.
 </li>
 <li>
 Hands-on experience with LLM-based applications and agentic frameworks.
 </li>
 <li>
 Expertise in cloud platforms (AWS, Azure, GCP) and cloud-native patterns.
 </li>
 <li>
 Knowledge of event-driven architecture, messaging systems (Kafka, RabbitMQ), and data consistency strategies.
 </li>
 <li>
 Strong understanding of security, scalability, and fault-tolerance in distributed systems.
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 Experience with service mesh technologies (Istio, Linkerd).
 </li>
 <li>
 Familiarity with domain-driven design (DDD) and CQRS patterns.
 </li>
 <li>
 Knowledge of advanced observability and chaos engineering practices.
 </li>
 <li>
 Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps) and Infrastructure as Code (Terraform, Ansible).
 </li>
 </ul>
 
 
</div>

Backend Lead - Microservices Architect

Team Moxim

Job Opportunity: AI Solutions ArchitectLocation: Mesaieed, Qatar Company: Team MoximAbout UsTeam Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary AI Solutions Architect to design and deliver advanced AI-driven systems.Role OverviewWe are looking for an AI Solutions Architect to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.Key Responsibilities<ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul>Why Join Us?<ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul>Pay: Up to QAR32,000.00 per monthWork Location: In person

AI Solutions Architect

BrightSpring Health Services

<div>Our Company:
<div>
BrightSpring Health Services</div><div></div>
Overview:
<div>
We are seeking a highly experienced and hands-on Principal Enterprise Architect to lead the full stack design and integration of advanced AI/ML platform and solution architectures within our AI-enabled Health Cloud Platform. This role combines deep expertise in end to end systems architecture, platform engineering, and integration/API design, enabling seamless, secure, and scalable AI/ML healthcare applications.</div><div> 
You will play a critical role in shaping both the technical foundation of the platform and the delivery of intelligent healthcare solutions, ensuring that AI capabilities such as Generative AI, Agentic AI, RPA, and fine-tuned RAG/Vector DB models are effectively embedded into clinical and pharmacy workflows.</div>
Responsibilities:
<ul><li>Architect and lead the full stack implementation of end-to-end AI/ML platform and solution architectures, ensuring seamless integration with enterprise systems and healthcare data sources.</li><li>
Design and develop robust, scalable APIs and microservices using technologies such as .NET, C#, and RESTful services.</li><li>
Define and enforce platform and integration architecture standards, including data contracts, API security, service orchestration, and interoperability.</li><li>
Collaborate with AI/ML engineers, product managers, API, and data engineers to translate business and clinical requirements into cloud-native, reusable platform capabilities and solution-specific workflows.</li><li>
Architect and optimize LLM-based systems, including RAG pipelines, vector databases, and agentic AI frameworks (e.g., LangChain, AutoGen).</li><li>
Design and evolve the AI/ML platform architecture, including model lifecycle management, orchestration layers, and reusable AI services.</li><li>
Ensure all solutions and platform components are HIPAA-compliant, secure, and aligned with healthcare interoperability standards (FHIR, HL7 etc.).</li><li>
Evaluate and integrate third-party AI services, open-source tools, and cloud-native components into the platform.</li><li>
Provide architectural leadership across model training, deployment, monitoring, and retraining, ensuring scalability and performance.</li></ul>
Qualifications:
<ul><li>10+ years of experience in solution and platform architecture, with a strong focus on AI/ML systems and enterprise integration.</li><li>
15+ years in overall solution architecture.</li><li>
Proven experience designing and delivering AI-powered healthcare or pharmacy platforms and solutions.</li><li>
Experience with multi-agent systems, RPA tools, and intelligent automation in healthcare.</li><li>
Strong experience with API development and integration using .NET, C#, and modern API frameworks.</li><li>
Deep understanding of cloud platforms (Azure preferred), containerization (Docker, Kubernetes), and MLOps practices.</li><li>
Expertise in Generative AI, RAG architectures, vector databases, and agentic AI orchestration.</li><li>
Expertise in healthcare data standards and secure data handling practices.</li><li>
Excellent communication and stakeholder engagement skills.</li></ul><div>
Preferred Qualifications:</div><ul><li>
Background in AI/ML engineering, data science, or biomedical informatics.</li><li>
Knowledge of responsible AI, model explainability, and bias mitigation.</li><li>
Advanced degree (MS or PhD) in Computer Science, AI/ML, or a related field.</li></ul>
About our Line of Business: BrightSpring Health Services provides complementary home- and community-based health solutions for complex populations in need of specialized and/or chronic care. Through the Company&rsquo;s service lines, including pharmacy, home health care, and rehabilitation, we provide comprehensive and more integrated care and clinical solutions in all 50 states to over 475,000 customers, clients and patients daily. BrightSpring has consistently demonstrated strong and industry-leading quality metrics across its services lines, while improving the health and quality of life for high-need individuals and reducing overall healthcare system costs. For more information, please visit www.brightspringhealth.com. Follow us on Facebook, LinkedIn, and X. Additional Job Information:
<div>
Why Join Us?</div><ul><li>
Architect the future of AI in healthcare by shaping both platform capabilities and solution delivery.</li><li>
Collaborate with a forward-thinking team of engineers, clinicians, and product leaders.</li><li>
Enjoy a highly competitive compensation and benefits package.</li><li>
Be part of a mission-driven organization focused on transforming healthcare through intelligent technology.</li></ul></div><div></div>

Principal Enterprise Solution Architect, AI Health Cloud

Datamatics Technologies

<div>
 Job Title: AI Architect
 
 
 Level:
 
 Senior / Principal
 
 
 Employment Type:
 
 Full-time
 
 
 Experience
 
 : 6+ Years
 
 
 Location
 
 : Islamabad (Onsite)
 
 Role Overview
 
 We are seeking a
 
 high-level AI Architect
 
 to serve as a
 
 Senior Solution Architect
 
 for our real-time automation and intelligence ecosystem. This role is both
 
 strategic and hands-on at the architectural level
 
 , acting as a technical mentor and trusted advisor to engineering teams.
 
 
 You will be responsible for defining and evolving the
 
 enterprise architecture
 
 that underpins real-time data processing, automation, and AI/ML workflows. The role requires a visionary mindset, strong problem-solving capability, and the ability to design scalable, future-ready systems that support complex, high-throughput AI use cases.
 
 Key Responsibilities
 
 
 Solution Mentorship &amp; Technical Leadership
 
 
 <ul>
 <li>
 
 Act as a technical authority and mentor for engineering teams
 
 </li>
 <li>
 
 Guide best practices for real-time data streaming, event-driven architectures, and low-latency processing
 
 </li>
 <li>
 
 Review designs and implementations to ensure architectural consistency and technical excellence
 
 </li>
 </ul>
 
 
 Architecture &amp; Gap Analysis
 
 
 <ul>
 <li>
 
 Analyze existing platforms to identify architectural gaps, performance bottlenecks, and scalability risks
 
 </li>
 <li>
 
 Design and propose robust, enterprise-grade architectural improvements
 
 </li>
 <li>
 
 Define target-state architectures aligned with long-term business and AI strategy
 
 </li>
 </ul>
 
 
 System Orchestration &amp; Integration
 
 
 <ul>
 <li>
 
 Design and oversee the integration of distributed systems, messaging platforms, and data pipelines
 
 </li>
 <li>
 
 Ensure seamless, reliable data flow across heterogeneous enterprise systems
 
 </li>
 <li>
 
 Define standards for system interoperability, resilience, and observability
 
 </li>
 </ul>
 
 
 AI/ML Infrastructure &amp; Enablement
 
 
 <ul>
 <li>
 
 Architect the data and compute foundations required for AI/ML workloads, including agentic workflows and real-time analytics
 
 </li>
 <li>
 
 Enable large-scale automation, intelligent decisioning, and near-real-time inference
 
 </li>
 <li>
 
 Ensure architectures support model lifecycle management, scalability, and performance
 
 </li>
 </ul>
 
 
 Technical Governance &amp; Quality
 
 
 <ul>
 <li>
 
 Ensure architectural designs align with industry standards, security requirements, and scalability goals
 
 </li>
 <li>
 
 Provide high-level design documentation, reference architectures, and technical blueprints
 
 </li>
 <li>
 
 Support roadmap definition and continuous architectural evolution
 
 </li>
 </ul>
 Technical Requirements
 <ul>
 <li>
 
 
 Expert-level experience with distributed systems
 
 , including:
 
 <ul>
 <li>
 
 Real-time stream processing
 
 </li>
 <li>
 
 Distributed storage platforms
 
 </li>
 <li>
 
 Low-latency analytical databases
 
 </li>
 </ul>
 </li>
 <li>
 
 Proven experience designing
 
 enterprise-scale, high-throughput data architectures
 
 
 </li>
 <li>
 
 Strong background in
 
 event-driven and real-time processing ecosystems
 
 
 </li>
 <li>
 
 Experience supporting
 
 AI/ML platforms
 
 , data fabrics, and automation frameworks
 
 </li>
 <li>
 
 Demonstrated ability to translate complex technical challenges into scalable architectural solutions
 
 </li>
 </ul>
 Leadership &amp; Soft Skills
 <ul>
 <li>
 
 Strong
 
 mentorship and coaching experience
 
 with senior engineering teams
 
 </li>
 <li>
 
 Ability to influence architectural direction across multiple teams and stakeholders
 
 </li>
 <li>
 
 Excellent communication skills, capable of articulating complex designs to both technical and non-technical audiences
 
 </li>
 <li>
 
 Strategic mindset with a focus on long-term platform evolution
 
 </li>
 </ul>
 Nice to Have
 <ul>
 <li>
 
 Experience with cloud-native and hybrid architectures
 
 </li>
 <li>
 
 Exposure to MLOps, DataOps, or platform engineering practices
 
 </li>
 <li>
 
 Experience in regulated or large enterprise environments
 
 </li>
 </ul>
 Why Join
 <ul>
 <li>
 
 Shape the
 
 architectural foundation of advanced AI and automation platforms
 
 
 </li>
 <li>
 
 Influence enterprise-scale technical decisions with long-term impact
 
 </li>
 <li>
 
 Work in a senior, high-visibility role with strong ownership and autonomy
 
 </li>
 </ul>
</div>

AI Architect

The Optimal Group

<div>JOB TITLE: AI Architect
LOCATION: Dubai, UAE (On-site / Hybrid)
TYPE: Full-Time
SALARY: AED 25,000 &ndash; 35,000/month (DOE) + Performance Bonus
ABOUT THE ROLE
We are looking for a high-calibre AI Architect to lead the design, development, and deployment of AI-driven systems and solutions across our business. This is a senior, hands-on role that sits at the intersection of strategy and execution. You will be responsible for translating business objectives into scalable AI architecture, building intelligent automation systems, and driving our AI roadmap from concept to production.
KEY RESPONSIBILITIES<ul><li>Design and implement end-to-end AI architecture including machine learning pipelines, LLM integrations, and agentic AI systems</li><li>Lead the evaluation, selection, and deployment of AI platforms, models, and tools</li><li>Build and integrate AI solutions into existing infrastructure and business workflows</li><li>Develop frameworks for AI governance, performance monitoring, and continuous improvement</li><li>Collaborate with operations, product, and leadership teams to identify AI opportunities and prioritise delivery</li><li>Research emerging AI technologies and provide strategic recommendations</li><li>Ensure all AI systems comply with data security, privacy, and regulatory standards</li><li>Document architecture decisions, system designs, and technical specifications</li></ul>
REQUIREMENTS<ul><li>5+ years of experience in AI/ML architecture, solutions architecture, or a related senior technical role</li><li>Proven experience designing and deploying production-grade AI systems</li><li>Strong proficiency in Python, and familiarity with major AI/ML frameworks (TensorFlow, PyTorch, LangChain, etc.)</li><li>Hands-on experience with LLMs, RAG systems, and agentic AI frameworks</li><li>Cloud architecture experience: AWS, Azure, or GCP</li><li>Experience with API integration, microservices, and scalable system design</li><li>Strong commercial awareness &mdash; you understand how AI translates to business value</li><li>Excellent communication skills &mdash; ability to present technical solutions to non-technical stakeholders</li></ul>
NICE TO HAVE<ul><li>Experience in property, construction, or facilities management sectors</li><li>Familiarity with AI automation tools (n8n, Make, Zapier AI, etc.)</li><li>UAE residency or existing Dubai visa</li><li>Arabic language skills (not essential)</li></ul>
WHAT WE OFFER<ul><li>Competitive tax-free salary: AED 25,000 &ndash; 35,000/month</li><li>Performance-based bonus</li><li>High-autonomy role with direct access to senior leadership</li><li>Fast-moving, execution-focused environment</li><li>Opportunity to build and own the AI function from the ground up</li></ul></div>

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10000 ai systems architect jobs Near Me

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