--- title: 'AI Engineer (REMOTE) at EnableComp' canonical: 'https://feeny.ai/job/ai-engineer-remote-enablecomp-franklin-xv8sppe2n3xz' type: 'job' last_seen: '2026-10-16' --- # AI Engineer (REMOTE) at EnableComp - **Company:** EnableComp - **Location:** Franklin, TN - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-13 - **Last confirmed live:** 2026-10-16 - **Apply:** https://jobs.lever.co/enablecomp/631c6307-1cbe-4158-82cf-7388a2cf4327 ## Job description EnableComp provides Specialty Revenue Cycle Management solutions for healthcare organizations, leveraging over 24 years of industry-leading expertise and its unified E360 RCM™ intelligent automation platform to improve financial sustainability for hospitals, health systems, and ambulatory surgery centers (ASCs) nationwide. Powered by proprietary algorithms, iterative intelligence from 10M+ processed claims, and expert human-in-the-loop integration, EnableComp provides solutions across the revenue lifecycle for Veterans Administration, Workers’ Compensation, Motor Vehicle Accidents, and Out-of-State Medicaid claims as well as denials for all payer classes. By partnering with clients to supercharge the reimbursement process, EnableComp removes the burden of payment from patients and provider organizations while enabling accelerated cash, higher and more accurate yield, clean AR management, reduced denials, and data-rich performance management. EnableComp is a multi-year recipient the Top Workplaces award and was recognized as Black Book's #1 Specialty Revenue Cycle Management Solution provider in 2024 and is among the top one percent of companies to make the Inc. 5000 list of the fastest-growing private companies in the United States for the last eleven years. Position Summary We are seeking a forward-thinking and deeply technical AI Security Architect to lead our efforts in securely harnessing the power of Artificial Intelligence. As the AI Security Architect, you will be responsible for designing, implementing, and managing the security posture for all AI and Machine Learning initiatives across the organization. This is a pivotal role designed for an expert who is passionate about building secure AI frameworks from the ground up. You will be the go-to authority for all matters related to AI security, working across departments to embed security into our AI strategy and operations. ## Key Responsibilities - Work with domain experts to capture specialized knowledge and represent it in structured, usable form. - Analyze source material and datasets for quality, consistency, and coverage, and resolve issues with the appropriate stakeholders. - Perform exploratory and statistical analysis to inform data, modeling, and evaluation decisions. - Create and curate training and evaluation datasets, using both automated and human validation. - Design reinforcement learning environments, reward functions, and verifiers. - Train and fine-tune language models using supervised and reinforcement learning methods such as PPO, DPO, and GRPO. - Establish baselines, run ablations, and diagnose training issues such as reward hacking, instability, and data leakage. - Follow the research literature and bring promising techniques into practice. - Manage experiments rigorously, including versioned configurations, reproducible runs, experiment tracking, and compute budgeting. - Design and extend evaluation frameworks, metrics, and benchmarks. - Compare models and approaches through structured experiments and A/B testing. - Document results, failures, and next steps in clear technical write-ups. - Present findings to engineers, domain experts, and business leaders in language each audience can act on. ## Requirements & Qualifications - Bachelor’s degree in computer science, machine learning, statistics, or a related field; MS or PhD preferred. Equivalent hands-on experience will be considered. - 3+ years of hands-on experience training or fine-tuning language models. - Demonstrated reinforcement learning experience, including designing an environment and reward function end to end and training a policy in it. - Working knowledge of policy optimization methods for language models, such as PPO, DPO, or GRPO, including their failure modes. - Strong Python and PyTorch skills, with fluency in the Hugging Face ecosystem and parameter-efficient fine-tuning techniques. - Experience building and evaluating LLM-based agents or multi-turn systems. - Experience designing evaluations for language models, including held-out sets and automated grading. - Ability to analyze complex, detailed documentation and translate it into precise, structured, testable form. - Clear technical writing, with the ability to explain an experiment and its results concisely. - Comfort working directly with domain experts who are not machine learning practitioners. - Experience working with healthcare data or in another highly regulated industry is highly preferred. - Experience training models to produce structured or schema-constrained output is highly preferred. - Experience with a broad range of reinforcement learning algorithms and advanced reward design is highly preferred. - Experience with knowledge representation approaches such as knowledge graphs or ontologies is highly preferred. - Experience generating and validating synthetic data for model training is highly preferred. - Publications or open-source contributions in reinforcement learning, language model fine-tuning, or model evaluation is highly preferred. - Experience handling sensitive data, including protected health information (PHI) under HIPAA is highly preferred. - Timely and regular attendance. - Equivalent combination of education and experience will be considered - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions. Special Considerations and Prerequisites - Practices and adheres to EnableComp’s Core Values, Vision and Mission. - This is a 100% hands-on individual contributor role. The AI Engineer owns experiments from design through code, training, and results. - Expect roughly half of the role to focus on reinforcement learning and model training, with the remainder split between knowledge engineering, data analysis, and evaluation. - Success requires sustained, close collaboration with domain experts and a genuine working understanding of the subject matter. - The underlying knowledge evolves over time. The AI Engineer must design data, training, and evaluation approaches that adapt to change without starting over. - All work must comply with HIPAA and EnableComp data policies, using de-identified or synthetic data wherever possible. EnableComp is an Equal Opportunity Employer M/F/D/V. All applicants will be considered for this position based upon experience and knowledge, without regard to race, color, religion, national origin, sexual orientation, ancestry, marital, disabled or veteran status. We are committed to creating and maintaining a workforce environment that is free from any form of discrimination or harassment. EnableComp recruits, develops and retains the industry's top talent.  As the employer of choice in the complex claims industry, EnableComp takes pride in our continuous commitment to building and maintaining a culture centered around fostering the professional growth and development of our people.  We believe that investing in our employees is the key to our success, and we are dedicated to providing them with the tools, resources, and support they need to thrive and grow their career here. At EnableComp, we are committed to living up to our core values each and every day, and we believe that this commitment is what sets us apart from other companies.  If you are looking for a company that values its employees and is dedicated to helping them achieve their full potential, then EnableComp is the place for you. Don’t just take our word for it!  Hear what our people are saying: “I love my job because everyone shares the same vision and is determined and dedicated. People care about you as a person and your professional growth. There is a genuine spirit of cooperation and shared goals all revolving around helping each other.” – Revenue Specialist “I enjoy working for EnableComp because of the Core Values we believe in. EnableComp stands true to these values from empowering employees to ecstatic clients. This company is family oriented an ## About EnableComp ## Company Overview - **One-liner**: EnableComp is a healthcare revenue cycle management company that helps hospitals and health systems recover revenue from the most complex claims and denials. - **Entity Type**: Private (venture-backed; owned via parent company Argos Health per some sources, though EnableComp acquired Argos Health in 2021 — conflicting reports) - **Headquarters**: Franklin, Tennessee, United States - **Founded**: 2000 - **Founders**: Not publicly available ## Core Business - **Primary industry**: Healthcare revenue cycle management (RCM), healthcare technology, healthcare services - **Target customers**: Hospitals, health systems, and other healthcare providers (B2B, enterprise) - **Mission**: To redefine revenue cycle management by cutting through complexity, maximizing revenue, delivering clarity, and enabling better care — using decades of expertise and AI-driven technology. ## Products & Services - **e360 RCM® Platform**: AI-driven revenue cycle management platform that combines adaptive intelligence, precision automation, third-party system integration, and expert oversight to solve complex claims at scale. - **Complex Claims Suite**: Maximizes reimbursement on the hardest claims, including Veterans Affairs (VA), Workers’ Compensation, Motor Vehicle Accidents (MVA), and Out-of-State Medicaid. - **Complex Denials Suite**: Recovers denied revenue and prevents future denials (DRG downgrades, ED downgrades, medical necessity denials, coordination of benefits denials). - **Complex Revenue Recovery Suite**: Captures at-risk revenue that others leave behind (AR resolution, zero balance review, DRG validation). ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Annual Revenue (LinkedIn estimate): $24.4M — though this appears conservative vs. the company’s own claims of $3B in annual cash collections. Treat revenue figures with caution. - **Team size**: EnableComp’s website says “over 1,000 employees”; LinkedIn lists 307 employees (+10.9% YoY). Conflicting reports likely reflect different measurement approaches. - **Funding**: At least 3 rounds (2017 Venture Round led by Primus Capital Partners, 2021 Corporate Round, 2022 Venture Round); amounts not publicly disclosed. - **Notable Investors/Partners**: Primus Capital Partners; other undisclosed investors. - **Acquisitions**: ANI Healthcare Solutions (2024), Argos Health (2021), Health Resources Optimization. - **Growth Signals**: Named Black Book’s #1 Specialty RCM provider for complex claims and revenue integrity in 2024 and 2025; named a 2025 Top Workplace by USA TODAY; serves 1,000+ hospitals and health systems across all 50 states; SOC 2 Type II and HITRUST e1-certified. ## Competitive Advantages - Deep specialization in the most complex, “hard-to-collect” claims (VA, workers’ comp, MVA, out-of-state Medicaid) that most RCM firms avoid. - Proprietary AI-driven e360 RCM platform and “Complex Revenue Intelligence™” (CRI) data set built on 25+ years of claims and denials experience. - Proven outcomes: average 20% annual cash uplift and $3B in annual cash collections. - National footprint with 50-state coverage. - Strong industry recognition (Black Book, Top Workplaces) and trust certifications (SOC 2 Type II, HITRUST e1). ## Strategic Focus - Expanding Complex Revenue Intelligence™ (CRI) across denial prevention and revenue recovery. - Deepening AI and automation capabilities within the e360 RCM platform. - Continuing M&A strategy to broaden capabilities (e.g., ANI Healthcare Solutions acquisition). ## Why Work Here - **Culture**: Recognized as a 2025 Top Workplace by USA TODAY; multi-year Top Workplaces honoree; LinkedIn reviews give 4.5/5 overall (166 reviews) with high marks for work-life balance (4.8), culture (4.6), compensation (4.4), and career development (4.6). - **Remote-friendly**: Many positions are remote-first across the United States, including roles like DRG Auditor, Principal Engineer, and AI Security Architect. - **People-focused**: Company describes its culture as “the heartbeat” of the organization, emphasizing professional growth and development. - **Careers**: Active hiring across clinical, engineering, sales, and client success roles. ## Sources 1. [enablecomp.com](https://enablecomp.com/) 2. [enablecomp.com/about-us](https://enablecomp.com/about-us/) 3. [jobs.lever.co](https://jobs.lever.co/enablecomp) 4. [linkedin.com](https://www.linkedin.com/company/enablecomp) 5. 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