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Prodigy Solutions Jobs (NOW HIRING)

Principal AI Engineer

Norristown, PA · On-site +1

$180K - $200K/yr

AI/ML Solution Architecture & Implementation * Architect and evolve Prodigy's multi-modal retrieval pipeline, combining unstructured clinical document ingestion with structured EHR/FHIR data to ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

Software Engineer III

Annapolis, MD · On-site

$57 - $76.50/hr

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

Software Tool Engineer II

Laurel, MD · On-site

$96K - $132K/yr

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

Software Engineer II/III

Linthicum, MD · On-site +1

$56.75 - $76.25/hr

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

$66 - $85.75/hr

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

Software Engineer II

Linthicum, MD · On-site

$96K - $131K/yr

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

... solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the ...

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Prodigy Solutions information

See salary details

$49.5K

$94.2K

$151K

How much do prodigy solutions jobs pay per year?

As of Jul 7, 2026, the average yearly pay for prodigy solutions in the United States is $94,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $115,000.00 per year, depending on experience, location, and employer.

What does a typical workday look like for someone at Prodigy Solutions?

A typical workday at Prodigy Solutions involves collaborating with team members to analyze client requirements, designing tailored solutions, and monitoring project progress. You may engage in meetings with clients to gather feedback, coordinate with technical specialists to troubleshoot issues, and prepare updates or presentations. The environment emphasizes innovation, adaptability, and effective communication, offering both independent and collaborative tasks. This variety ensures you stay challenged and allows for ongoing professional development within a supportive team structure.

What is a Prodigy Solutions job?

A Prodigy Solutions job typically refers to a position within Prodigy Solutions, a company specializing in technology and communication solutions for correctional facilities. These jobs can include roles in customer support, software development, sales, and technical support. Employees may work with secure communication systems, payment processing, or inmate services to ensure efficient operations within correctional institutions. Job responsibilities vary based on the position, but most involve providing technology-driven solutions to enhance facility management and security.

What are the key skills and qualifications needed to thrive in the Prodigy Solutions position, and why are they important?

To thrive at Prodigy Solutions, candidates should possess strong problem-solving skills, project management expertise, and a background in technology or business solutions, often supported by a relevant degree or certifications. Familiarity with CRM systems, project management software, and IT infrastructure is typically required depending on the specific focus of the role. Excellent communication, teamwork, and client relationship skills help team members deliver outstanding results and foster trust with stakeholders. These abilities enable professionals to effectively address complex client needs and drive successful implementation of solutions.

More about Prodigy Solutions jobs
What are the most commonly searched types of Prodigy Solutions jobs? The most popular types of Prodigy Solutions jobs are:
What states have the most Prodigy Solutions jobs? States with the most job openings for Prodigy Solutions jobs include:
What job categories do people searching Prodigy Solutions jobs look for? The top searched job categories for Prodigy Solutions jobs are:
Infographic showing various Prodigy Solutions job openings in the United States as of July 2026, with employment types broken down into 15% Locum Tenens, 9% Internship, 28% As Needed, 1% Full Time, 22% Temporary, and 25% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $94,173 per year, or $45.3 per hour.
Principal AI Engineer

Principal AI Engineer

MRO Corporation

Norristown, PA • On-site, Remote

$180K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


MRO Corp rating

7.5

Company rating: 7.5 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

165th of 437 rated business services


Job description

Overview
As a Principal AI Engineer at MRO, you will own the technical vision and implementation of AI capabilities that power our healthcare software products. You will design and build production AI systems - RAG pipelines, LLM integrations, human-in-the-loop workflows, and model quality frameworks - while setting the engineering standards other teams build against.
This is a hands-on technical leadership role. You will work closely with architecture, product, data engineering, and engineering teams to translate complex healthcare workflows into scalable, accurate, and compliant AI solutions. You bring deep AI/ML engineering experience, know how HIPAA applies to the systems you build, and have owned AI product quality end-to-end - not just contributed to it.
Responsibilities
Prodigy Product AI Vision & Technical Ownership
  • Own the end-to-end technical vision for MRO Prodigy's AI layer - a production system that uses RAG, generative AI, and structured data reasoning to automate answers to Healthcare Registry questionnaires.
  • Define the AI roadmap for Prodigy, balancing near-term customer commitments against foundational capability investments that scale the product to enterprise maturity.
  • Evaluate and make build/buy/integrate decisions for AI capabilities - foundation model selection, embedding strategies, retrieval architectures, and orchestration frameworks - and own the consequences of those decisions.
  • Serve as the technical authority on all AI design decisions for Prodigy; produce architecture decision records, set standards, and ensure the architecture is defensible, auditable, and extensible.

AI/ML Solution Architecture & Implementation
  • Architect and evolve Prodigy's multi-modal retrieval pipeline, combining unstructured clinical document ingestion with structured EHR/FHIR data to surface accurate, citation-backed answers to registry questionnaire items.
  • Design and refine the answer generation layer - prompt engineering, context construction, grounding strategies, and output formatting - ensuring generated answers are clinically accurate and audit-ready.
  • Own the question routing and data source classification logic that maps registry questions to the right retrieval path, structured data field, or generation strategy.
  • Build and maintain the answer validation and confidence scoring framework, defining the statistics and quality thresholds that govern when answers are auto-accepted versus routed for human review.

Human-in-the-Loop & Model Improvement
  • Stay hands-on and close to the work: run direct ideation and feedback loops with Prodigy's end users (abstractors, registry, and quality teams) and with production analytics and monitoring systems - turning real usage signals into prioritized improvements that demonstrably move value, not just model metrics.
  • Evolve the feedback loop architecture that captures human corrections and routes them into continuous model improvement - ensuring Prodigy gets measurably better with every customer interaction.
  • Define the evals framework for Prodigy: how accuracy is measured, how regression is detected, and what signals trigger retraining or prompt revision.
  • Establish guardrails for hallucination detection and factual grounding specific to clinical registry use cases, where answer accuracy has direct downstream compliance implications.

Cloud & Data Architecture
  • Architect AI infrastructure across GCP (Vertex AI, BigQuery, Dataflow) and AWS (Bedrock), ensuring the pipeline is scalable, cost-efficient, and operationally observable.
  • Collaborate with data engineering to maintain high-quality, well-governed clinical and FHIR data inputs; define feature engineering and chunking strategies that optimize retrieval precision.
  • Define MLOps standards for Prodigy: model versioning, deployment gates, rollback procedures, drift monitoring, and audit trail requirements consistent with HIPAA compliance.

Technical Leadership & Enablement
  • Act as the AI technical mentor for the Prodigy squad and adjacent engineering teams - guiding developers on RAG patterns, LLM integration, responsible AI practices, and clinical data handling.
  • Collaborate with Security and Compliance to ensure Prodigy's AI layer meets HIPAA requirements, including PHI handling in prompts, data residency, and model audit logging.
  • Foster AI literacy across the broader engineering organization, helping teams understand when and how to apply AI safely in a regulated healthcare context.
  • Partner with Product Management to translate registry workflow complexity and customer feedback into technically sound AI capability improvements.

Qualifications
Education & Background
  • Bachelor's in Computer Science, AI/ML, or related field; Master's or PhD preferred - or equivalent depth proven through shipped AI systems.
  • Strong ML / data science / statistics theory foundation with the ability to read research, assess applicability, and execute.

LLM Engineering & RAG
  • Hands-on LLM integration: prompt engineering, grounding, citation, hallucination mitigation, and output validation at clinical accuracy standards.
  • Experience with LangChain, LlamaIndex, or equivalent orchestration frameworks.
  • Built confidence scoring and auto-acceptance thresholds that govern when answers route to human review.
  • Designed human-in-the-loop feedback systems that capture corrections and feed them back into model improvement.
  • Production experience building RAG pipelines - document ingestion, chunking, embedding model selection, vector store management, and retrieval evaluation.

AI/ML Engineering & MLOps
  • Full ML lifecycle ownership in production: versioning, deployment gates, drift monitoring, rollback, and audit trails.
  • Strong Python and software engineering fundamentals - CI/CD, testing, code review.
  • Hands-on with vector databases (pgvector, Pinecone, Weaviate, or equivalent) and hybrid search.
  • Built evals frameworks that measure accuracy, precision, recall, and F1 to inform product decisioning

Cloud & Data Architecture
  • Solid AWS and GCP experience: Bedrock, SageMaker, Vertex AI, BigQuery, Dataflow.
  • Azure familiarity a plus.
  • Experience building pipelines over mixed unstructured and structured data sources.
  • FHIR/HL7 and clinical document format familiarity strongly preferred.

Healthcare & Compliance
  • Clinical NLP or healthcare AI experience - medical terminology, document structure, and regulated accuracy standards are not new territory.
  • Prefer direct experience with clinical documentation and abstraction workflows
  • Knows how HIPAA applies to AI systems specifically: PHI in prompts and embeddings, data residency, audit logging, de-identification.
  • Familiar with AI governance in practice: bias detection, explainability, responsible AI in compliance-sensitive contexts.

Technical Leadership
  • Has owned AI technical vision before - not just contributed to it.
  • Can write an ADR, set an engineering standard, and make it stick across teams.
  • Communicates tradeoffs clearly to both engineers and non-technical stakeholders.
  • Track record of mentoring engineers and raising AI maturity on a team.

Total Compensation
Base pay is one element of the total compensation package. Eligible employees may also receive an annual cash bonus and have access to a comprehensive benefits offering, including medical, dental, vision, life insurance, and a 401(k) plan.
Salary Range
It is not typical for an individual to be hired at or near the top of the range. Individual pay may be influenced by factors such as skills, qualifications, experience, licensure, certifications, geographic location, and internal equity.
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Pay Range
USD $180,000.00 - USD $200,000.00 /Yr.

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