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Senior Care Ai Jobs (NOW HIRING)

Amazon

Sr. Software Dev Engineer, Healthcare AI

Seattle, WA · On-site +1

$139K - $183K/yr

As a Senior Software Development Engineer in the AWS Healthcare AI team, you'll spearhead the complete technical lifecycle, from system design, to implementing robust distributed systems, and ...

Amazon

Sr. Software Dev Engineer, Healthcare AI

Seattle, WA · On-site +1

$139K - $183K/yr

As a Senior Software Development Engineer in the AWS Healthcare AI team, you'll spearhead the complete technical lifecycle, from system design, to implementing robust distributed systems, and ...

Abby Care

Senior Privacy and AI Counsel

San Francisco, CA · On-site

$150 - $200/hr

Own Abby Care's privacy program -- HIPAA compliance, state privacy law compliance, BAA program, data mapping and ROPA, privacy incident response, breach assessment and notification, and individual ...

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Senior Care Ai information

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$25K

$80.3K

$163.5K

How much do senior care ai jobs pay per year?

As of Aug 29, 2026, the average yearly pay for senior care ai in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is Senior Care AI?

Senior Care AI refers to the use of artificial intelligence technologies to improve the quality of care and support for older adults. These systems can assist with health monitoring, medication reminders, fall detection, companionship, and managing daily routines. By automating and enhancing caregiving tasks, Senior Care AI aims to help seniors live more independently and safely, while also reducing the workload on caregivers and family members.

What are the key skills and qualifications needed to thrive as a Senior Care AI specialist?

To thrive as a Senior Care AI Specialist, you need expertise in artificial intelligence, data analysis, and a solid understanding of geriatric care, often supported by degrees in computer science or healthcare fields. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), healthcare data systems, and relevant certifications in AI or health informatics is typically required. Strong communication, empathy, and collaboration skills help bridge the gap between technology and the needs of elderly patients and care teams. These skills ensure that AI solutions are both technically robust and genuinely improve the quality of care for seniors.

What are some typical challenges faced by professionals working in Senior Care AI roles, and how can they be addressed?

Professionals in Senior Care AI roles often encounter challenges such as ensuring data privacy when handling sensitive health information, adapting AI solutions to diverse and changing senior needs, and fostering trust in technology among older adults and caregivers. Addressing these challenges typically involves collaborating closely with healthcare providers, regularly updating systems for compliance, and designing user-friendly interfaces tailored to seniors. Open communication with interdisciplinary teams and ongoing user feedback are also key to successful implementation and adoption.

What is the difference between Senior Care Ai vs Care Coordinator?

AspectSenior Care AiCare Coordinator
Required CredentialsAI proficiency, healthcare knowledge, data analysis skillsCertification in healthcare or social services, communication skills
Work EnvironmentTechnology-driven, healthcare settings, remote or office-basedHealthcare facilities, community settings, office-based
Employer & Industry UsageHealthcare tech companies, senior care platformsHospitals, clinics, senior care agencies
Common Search & ComparisonFocuses on AI tools for senior careFocuses on coordinating care plans and services

Senior Care Ai primarily involves leveraging artificial intelligence to improve senior care services, requiring tech and healthcare expertise. Care Coordinators focus on managing and organizing patient care plans within healthcare settings. While both roles support senior health, Senior Care Ai emphasizes technology integration, whereas Care Coordinators focus on direct care management.

How is AI used in elderly care?

Senior Care AI involves using artificial intelligence technologies to monitor health, assist with daily activities, and provide companionship for elderly individuals. These systems often include sensors, voice recognition, and predictive analytics to improve safety and quality of life, requiring knowledge of AI tools and healthcare standards.
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Senior Care Ai jobs near you
Infographic showing various Senior Care Ai job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 68% Full Time, 22% Part Time, and 8% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Sr Healthcare AI Business Analyst

Atlanta, GA • On-site

Cayuse Holdings, LLC
IT Services • 201 - 500 employees
Learn more about Cayuse Holdings, LLCexternal

$75 - $95/hr

Other

Posted 12 days ago

Job description

Overview
Job Title: Sr Business Analyst - Healthcare AI Strategy
Location: Hybrid - Atlanta, GA
Job Type: Independent Contract (Contractor / Non-Employee)
Start Date: October 19th
Pay Rate: $75-$95 per hour (1099/C2C)
Contract Length: 5 months
**Employment in this role is conditional upon successful execution of the contract by the client.**
We are seeking an experienced IT Business Analyst to drive the comprehensive requirements gathering, discovery phase, and baseline prioritization framework for our enterprise-wide Artificial Intelligence Transformation Strategy. The selected candidate will act as the principal architectural bridge between Client's clinical, administrative, and financial operational executives and advanced data science engineering teams. The absolute core objective of this mandate is executing deep executive discovery and structured technical workshops to synthesize unstructured organizational pain points into an actionable, multi-year AI investment roadmap.
Responsibilities
Scope of Work: Leadership & Domain Expert Discovery
The Business Analyst will plan, architect, and conduct structured interviews and collaborative workshops with senior leaders and domain subject-matter experts (SMEs). These high-level sessions are designed to:
  • Map Enterprise KPI Ecosystems: Understand discrete organizational goals, key performance indicators (KPIs), and targeted measures of success native to each leadership vertical.
  • Isolate Operational Blockers: Explicitly identify operational, clinical, financial, and administrative challenges impeding the execution of core strategic objectives.
  • Audit Optimization Target Baselines: Document existing transformation targets, including current cost reduction initiatives, workforce optimization mandates, productivity metrics, and revenue enhancement targets.
  • Inventory Leverageable Assets: Audit and document active resources capable of being deployed for immediate AI optimization, including unallocated financial capital, human resources, data pipelines, and infrastructure capabilities.
  • Proactively Introduce Proven Benchmarks: Inject and present contextualized, high-viability AI investment opportunities derived from successful implementations at peer Academic Medical Centers and leading health systems.
  • Capture Qualitative Visions: Formalize leadership's specific perspectives on where AI models (generative, predictive, analytical) can maximally optimize clinical outcomes, operational efficiency, and end-user experiences.
  • Build Discovery Governance Pipelines: Pinpoint key downstream stakeholders, workflow/process owners, and data SMEs critical for subsequent detailed discovery work and robust business case modeling.
  • Evaluate Organizational AI Readiness: Assess operational departments for AI adoption readiness, explicitly identifying executive champions, anticipated pockets of cultural friction, and change-management speed factors.
Deliverables & Prioritization Framework Architecture
The ultimate objective of the requirements gathering phase is to facilitate the formulation of a unified, prioritized AI Investment Opportunity Inventory. The Analyst is responsible for structuring and populating an explicit prioritization taxonomy divided into three distinct operational tiers:
  • Tier 1: AI Quick Wins: Initiatives capable of immediate tactical execution leveraging existing personnel, current data structures, and in-house enabling technologies, requiring minimal capital allocation.
  • Tier 2: Deep Discovery Opportunities: Strategic use cases displaying high potential ROI but requiring specialized, secondary deep-dive discovery, target architecture mapping, and complex business-case modeling.
  • Tier 3: Capital Planning Pipeline: High-impact, enterprise-transformative AI investments slated for formal budget submission through the AI Strategy Capital Planning Process or specific departmental capital allowances.

Qualifications
Candidate Qualifications & Operational Requirements
  • Healthcare Expertise: 5+ years of progressive IT Business Analysis experience, with a heavy preference for individuals who have executed enterprise strategy mandates within a matrixed multi-hospital healthcare system.
  • AI/ML Domain Literacy: Proven understanding of data science principles, machine learning lifecycles, structured vs. unstructured data ingestion, natural language processing (NLP), Large Language Models (LLMs), and technical constraints inherent to healthcare AI safety.
  • Executive Level Facilitation: Demonstrated mastery in leading highly structured discovery interviews and multi-stakeholder workshops with C-Suite executives, clinical chiefs, and administrative directors.
  • On-Site Facilitation Capability: Must be available to conduct intensive, face-to-face workshop facilitation and on-site discovery sessions directly inside Client facilities located across the greater Atlanta area as required.
  • Tools & Methodologies: Advanced proficiency in Agile frameworks, product backlog management, workflow visualization tools (Visio/Lucidchart/Miro), and structured data assessment techniques (SQL, data dictionary profiling).

Preferred Qualifications:
  • Academic Medical Center Expertise: 5+ years of progressive IT Business Analysis experience, with experience executing enterprise strategy mandates within an Academic Medical Center.

Pay Range
USD $75.00 - USD $95.00 /Hr.

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