Cloud & AI Systems Engineer (Hybrid or Remote)

Who We Are:

Managed Health Care Associates, Inc. (MHA) provides care communities access, solutions, and insights to help them run their businesses more effectively. Our members include post-acute providers across the care continuum, including long-term care, home infusion, specialty pharmacies, senior living, and other group living facilities. Our team of associates is passionate about our common mission of helping people age with grace and championing our core values of being Curious Learners, Selfless Advocates, and Relentless Finishers.

Who We’Re Looking For:

The Cloud & AI Systems Engineer is a highly skilled technical expert responsible for architecting, deploying, and optimizing cloud infrastructure while enabling the integration of artificial intelligence (AI) and machine learning (ML) capabilities across the enterprise. This role bridges traditional cloud engineering with modern AI operations—designing secure, scalable Azure environments that support advanced analytics, automation, and intelligent applications.

The Cloud & AI Systems Engineer will collaborate closely with infrastructure, finance, data science, and software development teams to build and maintain RAG (retrieval-augmented generation) pipelines, automate DevOps workflows for AI/ML workloads, and operationalize models into production environments. This position requires a deep understanding of Microsoft Azure services, Infrastructure as Code (IaC), and AI-native architectures, with the ability to translate business needs into resilient, compliant, and high-performing cloud and AI solutions.

What You’Ll Be Doing:

Cloud Engineering & Infrastructure (Microsoft Azure)

• Lead the design, implementation, and continuous improvement of Microsoft Azure cloud technologies (IaaS, PaaS, SaaS).
• Develop Azure policies, ARM templates, Blueprints, and governance strategies.
• Build and maintain secure, scalable, and cost-optimized infrastructure solutions.
• Drive infrastructure automation and self-service provisioning through Infrastructure-as-Code (IaC), scripting, and DevOps pipelines.
• Monitor system performance, troubleshoot incidents, and ensure high availability and disaster recovery readiness.

AI, Machine Learning, and Intelligent Automation

• Collaborate in cross-functional teams (e.g., with Finance, Data Science, Software Engineering and Security) to design, deploy, and maintain secure and scalable AI/ML pipelines.
• Support retrieval-augmented generation (RAG) pipelines by implementing and maintaining secure endpoints, network isolation, and proper access controls (e.g., private links, NSGs, managed identities, private blob storage, internal vs. external routing).
• Manage API security, authentication, and token usage for AI and LLM-based services, ensuring visibility into utilization and cost tracking.
• Deploy and monitor machine learning models and APIs using Azure ML, Azure OpenAI, and containerized inference solutions (e.g., Docker, Kubernetes).
• Support AI DevOps/MLOps automation using Bicep, Terraform, or MLflow to streamline model deployment, configuration, and lifecycle management.
• Implement monitoring and observability using Azure Monitor, Application Insights, and related tools to track AI API performance, latency, and errors.
• Assist in operationalizing AI workloads in Azure ML, OpenAI, or custom inference endpoints while ensuring security and compliance alignment.
• Contribute to AI governance by helping define secure model lifecycle processes, role-based access controls, and compliance checkpoints across environments.

Security & Compliance

• Implement and manage AI-specific security controls, such as prompt injection mitigation, data masking in training datasets, and LLM access policies.
• Collaborate with security team to evaluate and secure AI model endpoints, ensuring compliance with HIPAA and SOC 2 for AI workloads.
• Support the development and enforcement of cloud security policies and incident response plans.
• Collaborate with the security team to investigate cyber threats and deploy AI-driven threat detection and response tools (SIEM/SOAR integrations).
• Ensure compliance with industry standards (e.g., HIPAA, SOC 2, HITRUST) in all cloud and AI implementations.

What You’ll Bring to the Table:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 5–7 years of experience with Microsoft Azure cloud architecture and automation, including design, deployment, and optimization of cloud environments, with exposure to AI/ML production systems.
• Proven ability to build and maintain AI-native pipelines, including data ingestion, embeddings, inference endpoints, and vector databases.
• Hands-on experience with Python for automation, scripting, and AI integration.
• Familiarity with LLM application frameworks (e.g., LangChain, Semantic Kernel) and MLOps platforms (e.g., Azure ML Pipelines, MLflow, Kubeflow).
• Strong understanding of data engineering fundamentals, model deployment workflows, and AI observability tools (e.g., Weights & Biases, Arize, PromptLayer).
• Proficiency with Infrastructure-as-Code (IaC) tools such as Terraform, ARM templates, or Bicep.
• Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) for AI and cloud workloads.
• Solid knowledge of Active Directory, Windows Server OS, VMware, networking, and hybrid cloud environments.
• Demonstrated experience implementing DevOps automation and CI/CD pipelines (e.g., Azure DevOps).
• Knowledge of cloud cost optimization tools and methodologies.
• Experience working in Agile/Scrum environments.
• Excellent problem-solving, troubleshooting, root cause analysis, and performance optimization skills.
• Strong documentation, communication, and collaboration skills with a customer-centric mindset.
• Ability to translate business requirements into secure, scalable, and cost-efficient technology solutions.
• Curiosity and willingness to experiment with generative AI, automation, and emerging technologies.
• Experience contributing to AI strategy, governance, or ethical AI initiatives is a plus.

What’S Good To Know:

• Hybrid
• Percentage of travelling required/otherwise enter n/a
• Why Join MHA:
• MHA continues to lead by providing purpose-driven and value-based solutions, which preserve the dignity and grace people deserve, regardless of age. Let us be the best place you’ll ever work!

Our associates enjoy the following benefits, and you can, too!

• Staying Healthy
• Comprehensive medical, dental, vision and prescription plans with FSA/HSA options individual and family options
• Teledoc access- Fitness Reimbursement
• Commuter Benefit Plan- Access to an Employee Assistance Program (EAP)
• Enjoying Time-Off
• Paid Time Off
• Day off for your birthday and a floating holiday
• Paid Parental Leave
• Planning for the Future
• 401K with a match
• Employee Stock Purchase Plan
• Life Insurance, short-term & long-term disability insurance
• Access to financial and legal advisors
• Perks and Benefits Discounts
• Learning Continuously
• Tuition Reimbursement
• E-learning programs
• Ongoing Team Trainings
• Making an Impact
• Paid volunteer time-off
• Donation matching

The Company

Managed Health Care Associates, Inc. (MHA) is a leading health care services and technology company that offers a growing portfolio of services and solutions to support the diverse and complex needs of the post-acute health care provider. MHA provides expertise in Group Purchasing, Managed Care and Payer Contracting, Reimbursement Management, Specialty Pharmacy Solutions, Pharmaceutical Data Analytics, Consultant Pharmacy Software and Legislative Advocacy. Through the delivery of innovative health care services and solutions, MHA helps members increase operational efficiency, maximize business growth, and provide optimum care for their patients.

Founded in 1989, MHA was purchased by Roper Technologies, Inc. in 2013. Roper Technologies is a constituent of the S&P 500, Fortune 1000. The Company operates market-leading businesses that design and develop vertical software and technology enabled products for a variety of niche markets. To learn more please visit www.mhainc.com.

Managed Health Care Associates, Inc. is an Equal Opportunity Employer and ensures its employment decisions comply with principles embodied in Title VII, the Age Discrimination in Employment Act, the Rehabilitation Act of 1973, the Vietnam Veterans Readjustment Assistance Act of 1974, Executive Order 11246, Revised Order Number 4, and applicable state regulations.