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Managed Health Care Associates, Inc. · 2 months ago

Cloud & AI Systems Engineer (Hybrid or Remote)

Parsippany, New Jersey, United States

Full-time

Hybrid

Senior Level

5+ years exp

Managed Health Care Associates, Inc. (MHA) provides care communities access, solutions, and insights to help them run their businesses more effectively. The Cloud & AI Systems Engineer is responsible for architecting, deploying, and optimizing cloud infrastructure while integrating artificial intelligence and machine learning capabilities across the enterprise.

ConsultingHealth Care

H1B Sponsor Likely

Responsibilities

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

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

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

Qualification

Microsoft AzureAI/ML pipelinesInfrastructure as CodeContainerizationPythonDevOps automationAgile/ScrumCuriosityCollaboration skillsProblem-solving skillsCommunication skills

Required

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

Preferred

Experience contributing to AI strategy, governance, or ethical AI initiatives is a plus

Benefits

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)

Paid Time Off

Day off for your birthday and a floating holiday

Paid Parental Leave

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

Tuition Reimbursement

E-learning programs

Ongoing Team Trainings

Paid volunteer time-off

Donation matching

Company

Managed Health Care Associates, Inc.

Founded in 1989

Florham Park, New Jersey, USA

201-500 employees

http://www.mhainc.com

H1B Sponsorship

Managed Health Care Associates, Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2024 (3)

2022 (2)