Xsolis Visa Sponsorship USA
Xsolis is an AI-driven healthcare technology company known for its clinical decision support platform. It sponsors H-1B, F-1 OPT, and TN visas, making it a viable target for international tech professionals, though sponsorship activity has been limited in recent history.
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Get Access To All JobsPosition Summary Details
We’re hiring a Agentic and Generative Data Scientist II to design and deploy AI systems end-to-end: from data preparation and evaluation to model fine-tuning, inference, and agentic workflows. You’ll partner closely with product and engineering to ship reliable, cost-effective, and scalable LLM-powered solutions on AWS.
Essential Duties & Responsibilities
The essential functions include, but are not limited to the following:
- End-to-end GenAI solutions: Scope problems, choose the right approach (prompt engineering, fine-tuning, agents), implement, evaluate, and deploy.
- Data & SQL: Write efficient SQL for analytics and data preparation; manage schemas and pipelines for model training and inference.
- Model training & fine-tuning: Run supervised fine-tuning (PEFT/LoRA/QLoRA), optimize prompts, and manage experiment tracking and evaluation.
- Agentic systems: Build agent workflows with tool use, memory, and safety/guardrails.
- Inference & deployment: Package services with Docker, optimize latency/cost (batching, caching, quantization), and deploy on AWS (ECS, EKS, SageMaker, Lambda with GPU acceleration).
- MLOps & Observability: Set up CI/CD for models/prompts, maintain offline/online evaluation pipelines, monitoring, and rollback strategies.
- Security & compliance: Implement data governance, PHI/PII protections, and guardrails against prompt injection and unsafe outputs.
- Cross-functional work: Collaborate with product managers and engineers to align GenAI capabilities with product goals; document clearly and communicate trade-offs.
- Production readiness: Lead conversations around scaling, monitoring, and maintaining GenAI systems in real-world environments.
Minimum Qualifications (Knowledge, Skills, and Abilities)
Education:
- Bachelor’s Degree or equivalent experience required; Master’s degree preferred.
Experience:
- 5+ years of Software/ML engineering experience, including 2+ years building and deploying GenAI/LLM systems.
- MS/PHD in Computer Science or equivalent experience.
- Strong SQL and Python skills with solid software engineering fundamentals.
- Experience with agent frameworks (LangGraph, AutoGen, CrewAI) and building tool-driven agents.
- Hands-on with deep learning (PyTorch or TensorFlow) and LLM fine-tuning (SFT/PEFT like LoRA/QLoRA).
- Production experience with Docker and deploying on AWS (ECS, EKS, SageMaker, Lambda, or GPU services).
- Experience creating Data and Model pipelines for model training and deployment at scale.
- Familiarity with prompt engineering, evaluation frameworks (LLM-as-judge, metrics), and offline test harnesses.
- Understanding of security & compliance for sensitive data (e.g., PHI/PII) and safe deployment of AI systems.
- Excellent problem-solving, communication, and documentation skills.
- Inference optimization: quantization (bitsandbytes, GPTQ/AWQ), batching, caching, or vLLM.
- Healthcare experience: familiarity with HIPAA, medical data handling, or working in health tech.
- Experiment tracking (MLflow, W&B), CI/CD for ML, and monitoring (Prometheus, Grafana).
- Familiarity with major LLM APIs and OSS models (OpenAI, Anthropic, Llama, Mistral).
Other: Tech Stack
- Languages: Python, SQL
- DL/LLM: PyTorch, Tensorflow, Hugging Face, PEFT/TRL, vLLM
- Data: Snowflake, Postgres
- Cloud: AWS (ECS, EKS, SageMaker, Lambda)
- MLOps: Docker, CI/CD, MLflow or W&B
Supervisory Responsibilities
This role does not have any direct reports and is a single contributor role.
Working Environment and Travel Requirements
Work is typically in a normal office administrative environment involving minimal exposure to physical risks. Position requires little to moderate physical activity. Mostly sedentary work exerting up to 10 pounds of force occasionally or a negligible amount of force to lift, carry, push, pull, or otherwise move objects. Work involves sitting most of the time, but may involve walking or standing for brief periods of time. No significant stooping is usually required.
About us
Xsolis is an AI-driven technology company with a human-centered approach, fostering collaboration between healthcare providers and payers through real-time transparency, objective data for increased accuracy and alignment of medical necessity decisions, and more efficient outcomes. Dragonfly®, its AI-driven proprietary platform, is the first and only solution to use real-time predictive analytics to continuously assign an objective medical necessity score and assess the anticipated level of care for every patient, enabling more efficiency across the healthcare system. Xsolis is headquartered in Franklin, Tennessee.
Our Values:
- Team First
- Client Passionate
- Always Curious
- Deliver Excellence
Xsolis has been ranked on the Inc. 5000 and Deloitte Technology Fast 500 lists in both 2022 and 2023 as a fastest-growing private company, and was named 2022 Best in Business among private companies by the Nashville Business Journal. Xsolis executives have been featured in Becker's Hospital Review, Becker's Payer Issues, Chief Healthcare Executive, CIO Review, Managed Healthcare Executive, Medical Economics, HIT Consultant, Healthcare IT Today, among other leading publications.
Where We’ll Go Together
Our company will become the new standard for utilization management. You’ll be a core part of realizing that goal and a valued contributor to the culture and climate we wish to create. Our wins are your wins, and we’re dedicated to making you feel your work matters (it truly does).
If any of this speaks to you, let’s get in touch.
Candidates must successfully pass a background check and drug screen prior to beginning employment with XSOLIS.
XSOLIS is an equal opportunity employer that is committed to hiring based upon merit, skills, experience, and qualifications. We recognize the importance of an inclusive and diverse workforce that celebrates all individuals from all walks of life. We encourage everyone to apply regardless of gender identity, race, veteran status, age, sexual orientation, or any other protected class.
All employees of XSOLIS fall under the same security role, which includes access to sensitive information, including proprietary data and PHI.
All official communications from our recruitment team come from emails ending in @xsolis.com or @echo.newtonsoftware.com. Job offers are only extended after a formal interview process, and any offer will come through official channels. You can verify postings on our official careers page: https://www.xsolis.com/about/careers.
Position Summary Details
We’re hiring a Agentic and Generative Data Scientist II to design and deploy AI systems end-to-end: from data preparation and evaluation to model fine-tuning, inference, and agentic workflows. You’ll partner closely with product and engineering to ship reliable, cost-effective, and scalable LLM-powered solutions on AWS.
Essential Duties & Responsibilities
The essential functions include, but are not limited to the following:
- End-to-end GenAI solutions: Scope problems, choose the right approach (prompt engineering, fine-tuning, agents), implement, evaluate, and deploy.
- Data & SQL: Write efficient SQL for analytics and data preparation; manage schemas and pipelines for model training and inference.
- Model training & fine-tuning: Run supervised fine-tuning (PEFT/LoRA/QLoRA), optimize prompts, and manage experiment tracking and evaluation.
- Agentic systems: Build agent workflows with tool use, memory, and safety/guardrails.
- Inference & deployment: Package services with Docker, optimize latency/cost (batching, caching, quantization), and deploy on AWS (ECS, EKS, SageMaker, Lambda with GPU acceleration).
- MLOps & Observability: Set up CI/CD for models/prompts, maintain offline/online evaluation pipelines, monitoring, and rollback strategies.
- Security & compliance: Implement data governance, PHI/PII protections, and guardrails against prompt injection and unsafe outputs.
- Cross-functional work: Collaborate with product managers and engineers to align GenAI capabilities with product goals; document clearly and communicate trade-offs.
- Production readiness: Lead conversations around scaling, monitoring, and maintaining GenAI systems in real-world environments.
Minimum Qualifications (Knowledge, Skills, and Abilities)
Education:
- Bachelor’s Degree or equivalent experience required; Master’s degree preferred.
Experience:
- 5+ years of Software/ML engineering experience, including 2+ years building and deploying GenAI/LLM systems.
- MS/PHD in Computer Science or equivalent experience.
- Strong SQL and Python skills with solid software engineering fundamentals.
- Experience with agent frameworks (LangGraph, AutoGen, CrewAI) and building tool-driven agents.
- Hands-on with deep learning (PyTorch or TensorFlow) and LLM fine-tuning (SFT/PEFT like LoRA/QLoRA).
- Production experience with Docker and deploying on AWS (ECS, EKS, SageMaker, Lambda, or GPU services).
- Experience creating Data and Model pipelines for model training and deployment at scale.
- Familiarity with prompt engineering, evaluation frameworks (LLM-as-judge, metrics), and offline test harnesses.
- Understanding of security & compliance for sensitive data (e.g., PHI/PII) and safe deployment of AI systems.
- Excellent problem-solving, communication, and documentation skills.
- Inference optimization: quantization (bitsandbytes, GPTQ/AWQ), batching, caching, or vLLM.
- Healthcare experience: familiarity with HIPAA, medical data handling, or working in health tech.
- Experiment tracking (MLflow, W&B), CI/CD for ML, and monitoring (Prometheus, Grafana).
- Familiarity with major LLM APIs and OSS models (OpenAI, Anthropic, Llama, Mistral).
Other: Tech Stack
- Languages: Python, SQL
- DL/LLM: PyTorch, Tensorflow, Hugging Face, PEFT/TRL, vLLM
- Data: Snowflake, Postgres
- Cloud: AWS (ECS, EKS, SageMaker, Lambda)
- MLOps: Docker, CI/CD, MLflow or W&B
Supervisory Responsibilities
This role does not have any direct reports and is a single contributor role.
Working Environment and Travel Requirements
Work is typically in a normal office administrative environment involving minimal exposure to physical risks. Position requires little to moderate physical activity. Mostly sedentary work exerting up to 10 pounds of force occasionally or a negligible amount of force to lift, carry, push, pull, or otherwise move objects. Work involves sitting most of the time, but may involve walking or standing for brief periods of time. No significant stooping is usually required.
About us
Xsolis is an AI-driven technology company with a human-centered approach, fostering collaboration between healthcare providers and payers through real-time transparency, objective data for increased accuracy and alignment of medical necessity decisions, and more efficient outcomes. Dragonfly®, its AI-driven proprietary platform, is the first and only solution to use real-time predictive analytics to continuously assign an objective medical necessity score and assess the anticipated level of care for every patient, enabling more efficiency across the healthcare system. Xsolis is headquartered in Franklin, Tennessee.
Our Values:
- Team First
- Client Passionate
- Always Curious
- Deliver Excellence
Xsolis has been ranked on the Inc. 5000 and Deloitte Technology Fast 500 lists in both 2022 and 2023 as a fastest-growing private company, and was named 2022 Best in Business among private companies by the Nashville Business Journal. Xsolis executives have been featured in Becker's Hospital Review, Becker's Payer Issues, Chief Healthcare Executive, CIO Review, Managed Healthcare Executive, Medical Economics, HIT Consultant, Healthcare IT Today, among other leading publications.
Where We’ll Go Together
Our company will become the new standard for utilization management. You’ll be a core part of realizing that goal and a valued contributor to the culture and climate we wish to create. Our wins are your wins, and we’re dedicated to making you feel your work matters (it truly does).
If any of this speaks to you, let’s get in touch.
Candidates must successfully pass a background check and drug screen prior to beginning employment with XSOLIS.
XSOLIS is an equal opportunity employer that is committed to hiring based upon merit, skills, experience, and qualifications. We recognize the importance of an inclusive and diverse workforce that celebrates all individuals from all walks of life. We encourage everyone to apply regardless of gender identity, race, veteran status, age, sexual orientation, or any other protected class.
All employees of XSOLIS fall under the same security role, which includes access to sensitive information, including proprietary data and PHI.
All official communications from our recruitment team come from emails ending in @xsolis.com or @echo.newtonsoftware.com. Job offers are only extended after a formal interview process, and any offer will come through official channels. You can verify postings on our official careers page: https://www.xsolis.com/about/careers.
Job Roles at Xsolis Companies
How to Get Visa Sponsorship in Xsolis Visa Sponsorship USA
Target technical and data-focused roles
Xsolis builds AI-powered healthcare software, so engineering, data science, and machine learning roles are your strongest bet for visa sponsorship. Positions requiring specialized technical skills in healthcare tech are where sponsorship is most likely to be considered.
Canadian and Mexican professionals should highlight TN eligibility
Xsolis sponsors TN visas, which is faster and less complex than H-1B for eligible nationalities. If you qualify, leading with your TN eligibility can make the sponsorship conversation significantly easier for a smaller technology company.
Research open roles through a verified sponsor filter
Because Xsolis has a focused sponsorship history, confirming real hiring intent before applying saves time. Migrate Mate surfaces verified sponsors so you can filter by actual sponsorship history and identify current openings at Xsolis directly.
Align your background with Xsolis's healthcare AI focus
Xsolis operates at the intersection of clinical data and artificial intelligence. Candidates with experience in healthcare informatics, NLP, or clinical coding systems stand out and are more likely to justify sponsorship investment at a specialized technology company.
Apply early in the hiring cycle ahead of H-1B lottery deadlines
H-1B petitions must be filed by April for an October start date. Targeting Xsolis roles in the fall or winter gives both you and the company enough runway to prepare documentation and file before USCIS registration opens in March.
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Get Access To All JobsFrequently Asked Questions
Does Xsolis sponsor H-1B visas?
Yes, Xsolis sponsors H-1B visas. The company has an active sponsorship history in the technology sector, though it sponsors selectively rather than at high volume. H-1B sponsorship at Xsolis is most common for technical roles requiring specialized skills in areas like artificial intelligence, software engineering, or healthcare data systems.
Which visa types does Xsolis sponsor?
Xsolis sponsors H-1B, F-1 OPT, F-1 CPT, and TN visas. This makes it accessible to a range of international candidates, including students completing U.S. degrees on OPT or CPT, as well as Canadian and Mexican professionals eligible for TN status. Green Card sponsorship has not been a consistent part of their history.
Which departments or roles at Xsolis are most likely to receive visa sponsorship?
Sponsorship at Xsolis is concentrated in technical and product-adjacent roles given the company's focus on AI-driven healthcare software. Software engineers, data scientists, machine learning specialists, and clinical informatics professionals are most likely to be considered for sponsorship. Business, sales, and administrative roles are less commonly sponsored.
How do I find open visa-sponsored jobs at Xsolis?
Migrate Mate is the most efficient way to find current openings at Xsolis that include visa sponsorship. The platform lets you filter by employer sponsorship history and visa type, so you can confirm Xsolis is actively hiring sponsored roles before investing time in an application. This is especially useful given Xsolis's selective sponsorship volume.
How do I time my application to Xsolis for H-1B sponsorship?
The H-1B process runs on a fixed annual calendar. USCIS opens registration in March, petitions are filed in April, and employment begins October 1. To be included, you need a job offer in hand before March registration. Applying to Xsolis between October and January gives you the best window to secure an offer and complete the process without rushing.
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