BigRio
Agentic AI Solutions Architect – Healthcare RCM
Location:
Remote Job Type:
Contract / Consultant Duration:
6+ months About BigRio BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in cutting-edge AI-driven automation, data engineering, machine learning integrations, and custom software solutions. As a one-stop shop, we work with clients across industries, delivering cost-effective, high-impact digital transformation solutions. We are looking for an experienced Agentic AI Solutions Architect with expertise in healthcare automation, revenue cycle management (RCM), and data engineering. The ideal candidate will leverage AI-powered autonomous agents to streamline RCM workflows, claims processing, payment posting, and data-driven decision-making. This is an exciting opportunity to work on impactful projects that optimize healthcare operations through AI-driven solutions. Job Summary As an Agentic AI Solutions Architect – Healthcare at BigRio, you will design, develop, and deploy AI-powered automation solutions that enhance revenue cycle management (RCM) operations for healthcare providers. You will work closely with enterprise systems (including Epic EMR/EHR) to integrate intelligent automation agents that learn, adapt, and optimize complex workflows. This role requires a strong technical background in AI-driven automation, including autonomous agents, large language models (LLMs), and data engineering. You will collaborate with clients to assess existing processes, develop automation strategies, and implement AI-driven solutions to improve efficiency, compliance, and revenue cycle performance. Key Responsibilities Solution Architecture & Process Optimization Conduct a
comprehensive assessment
of client RCM processes to identify inefficiencies and automation opportunities. Architect AI-powered automation solutions
to enhance revenue cycle workflows, ensuring integration with
enterprise healthcare systems . Define
data strategies
that support intelligent automation, ensuring seamless data ingestion, validation, and transformation. Agentic AI Implementation & Data Engineering Design and implement
autonomous AI agents
capable of handling claims validation, coding, payment posting, and financial reconciliation. Develop
data pipelines and ETL workflows
that support AI-driven decision-making and automation. Ensure seamless
AI integration with EMR, PMS, and billing platforms , optimizing interoperability. You may be asked to lead the integration of
Agentic AI systems
with
UIPath RPA workflows
to enhance the capabilities of both platforms for intelligent automation in healthcare environments. AI Governance & Performance Monitoring Monitor, troubleshoot, and optimize AI-powered automation workflows
to maintain high accuracy and efficiency. Establish
AI governance models
to ensure compliance with healthcare regulations and
HIPAA security standards . Continuously refine AI models using
feedback loops, reinforcement learning, and predictive analytics . Stakeholder Collaboration & Training Partner with
healthcare IT, finance, and RCM teams
to define AI-driven automation requirements. Provide
training and guidance
on managing and scaling AI-powered automation solutions post-implementation. Project Management & Reporting Oversee
project timelines, deliverables, and milestones
to ensure on-time delivery. Measure the
impact of AI-driven automation
and provide insights on cost savings and efficiency improvements. Continuously identify
new AI automation opportunities
within the revenue cycle ecosystem. Qualifications Education Bachelor’s or Master’s
in
Computer Science, AI, Data Engineering, Healthcare Administration, Business, or related field . Experience 5+ years
of experience in
Revenue Cycle Management (RCM)
with strong knowledge of
billing, claims processing, and payer workflows . 3+ years
of experience designing and implementing
AI-driven automation solutions
using
Agentic AI frameworks, LLMs, and machine learning models . Proven experience integrating AI-powered automation with
healthcare enterprise systems (e.g., Epic, Cerner, AthenaHealth, Meditech) . Strong
data engineering
experience, including data pipelines, ETL, and large-scale data integration. Experience in
integrating Agentic AI systems with UIPath workflows
and providing
recommendations
on whether this integration
aligns
with an organization's current processes and future goals. Technical Skills Proficiency in AI-driven automation frameworks , including
LangChain, OpenAI API, AutoGPT, BabyAGI, or equivalent . Expertise in
Python, SQL, and cloud-based AI/ML services (AWS, GCP, Azure AI) . Experience with LLMs (GPT-4, Claude, or domain-specific models)
for autonomous decision-making. Familiarity with
cloud-based AI model deployment, vector databases, and AI orchestration tools . Strong knowledge of
business intelligence tools, AI-driven RCM analytics, and financial modeling . Soft Skills Strong communication skills to translate
complex AI strategies
into business-friendly insights. Ability to
manage multiple projects and deadlines
while ensuring high-quality deliverables. Detail-oriented problem solver
with a
growth mindset
for AI-driven innovation. Equal Opportunity Statement: BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.
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Location:
Remote Job Type:
Contract / Consultant Duration:
6+ months About BigRio BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in cutting-edge AI-driven automation, data engineering, machine learning integrations, and custom software solutions. As a one-stop shop, we work with clients across industries, delivering cost-effective, high-impact digital transformation solutions. We are looking for an experienced Agentic AI Solutions Architect with expertise in healthcare automation, revenue cycle management (RCM), and data engineering. The ideal candidate will leverage AI-powered autonomous agents to streamline RCM workflows, claims processing, payment posting, and data-driven decision-making. This is an exciting opportunity to work on impactful projects that optimize healthcare operations through AI-driven solutions. Job Summary As an Agentic AI Solutions Architect – Healthcare at BigRio, you will design, develop, and deploy AI-powered automation solutions that enhance revenue cycle management (RCM) operations for healthcare providers. You will work closely with enterprise systems (including Epic EMR/EHR) to integrate intelligent automation agents that learn, adapt, and optimize complex workflows. This role requires a strong technical background in AI-driven automation, including autonomous agents, large language models (LLMs), and data engineering. You will collaborate with clients to assess existing processes, develop automation strategies, and implement AI-driven solutions to improve efficiency, compliance, and revenue cycle performance. Key Responsibilities Solution Architecture & Process Optimization Conduct a
comprehensive assessment
of client RCM processes to identify inefficiencies and automation opportunities. Architect AI-powered automation solutions
to enhance revenue cycle workflows, ensuring integration with
enterprise healthcare systems . Define
data strategies
that support intelligent automation, ensuring seamless data ingestion, validation, and transformation. Agentic AI Implementation & Data Engineering Design and implement
autonomous AI agents
capable of handling claims validation, coding, payment posting, and financial reconciliation. Develop
data pipelines and ETL workflows
that support AI-driven decision-making and automation. Ensure seamless
AI integration with EMR, PMS, and billing platforms , optimizing interoperability. You may be asked to lead the integration of
Agentic AI systems
with
UIPath RPA workflows
to enhance the capabilities of both platforms for intelligent automation in healthcare environments. AI Governance & Performance Monitoring Monitor, troubleshoot, and optimize AI-powered automation workflows
to maintain high accuracy and efficiency. Establish
AI governance models
to ensure compliance with healthcare regulations and
HIPAA security standards . Continuously refine AI models using
feedback loops, reinforcement learning, and predictive analytics . Stakeholder Collaboration & Training Partner with
healthcare IT, finance, and RCM teams
to define AI-driven automation requirements. Provide
training and guidance
on managing and scaling AI-powered automation solutions post-implementation. Project Management & Reporting Oversee
project timelines, deliverables, and milestones
to ensure on-time delivery. Measure the
impact of AI-driven automation
and provide insights on cost savings and efficiency improvements. Continuously identify
new AI automation opportunities
within the revenue cycle ecosystem. Qualifications Education Bachelor’s or Master’s
in
Computer Science, AI, Data Engineering, Healthcare Administration, Business, or related field . Experience 5+ years
of experience in
Revenue Cycle Management (RCM)
with strong knowledge of
billing, claims processing, and payer workflows . 3+ years
of experience designing and implementing
AI-driven automation solutions
using
Agentic AI frameworks, LLMs, and machine learning models . Proven experience integrating AI-powered automation with
healthcare enterprise systems (e.g., Epic, Cerner, AthenaHealth, Meditech) . Strong
data engineering
experience, including data pipelines, ETL, and large-scale data integration. Experience in
integrating Agentic AI systems with UIPath workflows
and providing
recommendations
on whether this integration
aligns
with an organization's current processes and future goals. Technical Skills Proficiency in AI-driven automation frameworks , including
LangChain, OpenAI API, AutoGPT, BabyAGI, or equivalent . Expertise in
Python, SQL, and cloud-based AI/ML services (AWS, GCP, Azure AI) . Experience with LLMs (GPT-4, Claude, or domain-specific models)
for autonomous decision-making. Familiarity with
cloud-based AI model deployment, vector databases, and AI orchestration tools . Strong knowledge of
business intelligence tools, AI-driven RCM analytics, and financial modeling . Soft Skills Strong communication skills to translate
complex AI strategies
into business-friendly insights. Ability to
manage multiple projects and deadlines
while ensuring high-quality deliverables. Detail-oriented problem solver
with a
growth mindset
for AI-driven innovation. Equal Opportunity Statement: BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.
#J-18808-Ljbffr