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Immediate Ai Jobs (NOW HIRING)

Argo AI

AI Engineer

San Francisco, CA · On-site

$150 - $210/hr

This role focuses on building agentic AI systems and automation tools that can operate independently, integrate with our ecosystem, and deliver immediate business value. You will work at the ...

Weekday AI

Chemistry Expert (PhD) - AI Trainer

$65 - $85/hr

Immediate * Duration: 1-2 months * Commitment: Part-time (~20 hours/week), with potential to extend to 40 hours/week * Schedule: Fully remote and asynchronous - flexible working hours Compensation ...

Raspberry AI

AI Designer

New York, NY · On-site

AI Designer About Raspberry AI Raspberry AI is a generative AI design platform built for fashion ... Opportunities to drive impact well beyond your immediate role as the company scales. * Learning ...

Bluefish AI

Customer AI Strategist

New York, NY

Strategic AI Marketing Advisory - Serve as a senior advisor to customer executives and teams ... Join an experienced high-performing team where you will have immediate ownership and impact

Bluefish AI

Customer AI Strategist

New York, NY · On-site +1

Strategic AI Marketing Advisory - Serve as a senior advisor to customer executives and teams ... Join an experienced high-performing team where you will have immediate ownership and impact

Bluefish AI

Senior AI Engineer

$107K - $146K/yr

About the Position As a Senior AI Engineer, you'll spearhead the development of LLM-powered ... Join an experienced high-performing team where you will have immediate ownership and impact

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How much do immediate ai jobs pay per year?

As of Aug 23, 2026, the average yearly pay for immediate ai in the United States is $126,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $144,500.00 per year, depending on experience, location, and employer.
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Infographic showing various Immediate Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $126,812 per year, or $61 per hour.

Sr Healthcare AI Business Analyst

Cayuse Holdings, LLC

Atlanta, GA • On-site

$75 - $95/hr

Other

Posted 5 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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