[All remote jobs](https://jobicy.com/jobs.md)[![Qventus logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/01/0ad7e933ffa7b62281cc4b26710abfab.jpeg)](https://jobicy.com/company/qventus.md)[Qventus](https://jobicy.com/company/qventus.md)

# Forward Deployed AI Solutions Architect

AI Summary Qventus is seeking a senior AI Solutions Architect to lead a five-person forward-deployed team serving healthcare clients. The role combines client discovery, solution architecture, hands-on LLM and agent implementation, integrations, and ongoing conversational AI optimization. The architect will work closely with client executives, operational teams, IT stakeholders, engineers, and data scientists to deliver measurable operational improvements. Success requires strong coding ability, prompt and agentic-system design expertise, healthcare empathy, and the independence to troubleshoot complex systems in a changing environment. The position is remote within the United States and includes approximately 15–20% travel to client sites.[Apply for this job](#job-application)[View company](https://jobicy.com/company/qventus.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 220k–245k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceDirectorPublished13 Nov 2026Apply before13 Dec 2026Listing views45Application actions1Application toolkit

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Opportunity details

## About this role.

On this journey for over 12 years, [Qventus](https://jobicy.com/company/qventus.md) is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.

Our success in rapid scale across the globe is backed by some of the world’s leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. #LI-MB1

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.

Our success in rapid scale across the globe is backed by some of the world’s leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.

About the Role

We’re looking for an experienced forward-deployed Forward Deployed AI Solutions Architect to join our AI Platform Partnership team. In this role, you will lead a five-person team forward-deployed to a client site. In this role, you’ll apply problem solving ability, creativity, and technical skills to drive AI-powered operational transformations at health systems. You’ll partner cross-functionally with Qventus R&D leadership as well as embed with client operational, executive, and IT teams to shape solutions that deliver measurable value.

This is a high-impact role that will influence our AI Operational Assistant platform, strengthen customer outcomes, and shape our company’s growth trajectory.

Key Responsibilities

* Develop a deep understanding of client context and Qventus capabilities to identify high-leverage opportunities for rapid impact with bespoke AI Operational Assistant workflows
* Responsible for the design, execution, and optimization of bespoke AI Operational Assistant use cases at the client
* Technical Implementation

* Leverage LLM-based AI (GPT, Claude, Gemini, LLaMA, etc.) to build advanced conversational systems.
* Use agentic frameworks and tools
* Apply conversation modeling techniques like state machines, decision trees, and graph-based flows.
* Collaborate with backend teams to integrate bots with APIs, CRMs, and enterprise systems.
* Enhance bot functionality with custom scripts, API calls, and external system integrations.

* Optimization, Testing & Maintenance

* Continuously tune and improve AI agents using real user data.
* Monitor and resolve agent breakdowns, mismatches, and fallback issues.
* Develop and run unit, regression, and A/B tests to ensure conversational performance.
* Implement real-time monitoring, analytics, and logging to drive performance insights.

* Collaboration & Documentation

* Shape client use cases in partnership with the AI Solution Consultant
* Collaborate closely with Qventus architects, engineers, and data scientists, as well as client end-users and IT teams to define and refine product requirements
* Work closely with software engineers and data scientists to refine LLM integration and behavior.
* Document conversation logic, prompt structures, and decision workflows for scalability and maintainability.

* Mentor and support cross-functional teammates across forward-deployed client team

What We’re Looking For

* 5+ years of experience and proven track record in product management or solution architect roles
* Strong communicator with the ability to influence and collaborate across all levels
* Hands-on experience with with agentic design and prompt engineering + architecture
* Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar
* A go-to expert on emerging LLM technologies
* High customer empathy and passion for real-world impact and solving meaningful problems
* Self-starter, confident in troubleshooting complex systems issues independently
* Ability to work with a high level of autonomy and responsibility in a rapidly changing environment with dynamic objectives and iteration with users
* Demonstrated ability to collaborate effectively in teams of technical and non-technical individuals, and comfortable working in a rapidly changing environment with dynamic objectives and iteration with users.
* Ability to travel as needed to client sites (expected 15 – 20%)

Bonus Points For

* Experience with voice-enabled conversational AI systems.
* Knowledge of vector databases, embeddings, and RAG (Retrieval Augmented Generation).
* Experience applying knowledge graphs in AI agent workflows.
* Prior experience building AI agents / automated workflows in healthcare or other regulated industries
* Background in healthcare operations, medicine, and/or healthcare finance

Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards.

Salary Range

$220,000—$245,000 USD

Qventus values diversity in its workforce and proudly upholds the principles of [Equal Opportunity Employment](https://www.ada.gov/resources/disability-rights-guide/#:~:text=The%20ADA%20prohibits%20discrimination%20on%20the%20basis). We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, “protected characteristics”). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers.

Qventus participates in the [E-Verify](https://www.e-verify.gov/) program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with [Americans with Disabilities Act (ADA)](https://www.ada.gov/resources/disability-rights-guide/). In compliance with the [California Consumer Privacy Act (CCPA)](https://www.oag.ca.gov/privacy/ccpa), Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice.

*Benefits and perks are subject to plan documents and may change at the company’s discretion.

*Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

Show more

[Apply now >](https://jobicy.com/jobs/162075-forward-deployed-ai-solutions-architect.md)

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![Upload CV](data:image/svg+xml;base64,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)

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## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a highly senior, client-facing technical leadership role that requires both deep LLM systems expertise and ownership of business outcomes in healthcare environments. The architect must lead a deployed team, build and optimize production workflows, and independently resolve ambiguous technical and operational problems.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive$232,500US market range (per year)$190k–$270k0$297k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a base salary range of $220,000–$245,000 USD. The annual cadence is inferred from the range magnitude, the seniority of the role, and standard US full-time professional compensation conventions. The midpoint is $232,500 per year, which is broadly competitive for a senior, client-facing AI solutions architecture role in the US healthcare technology market.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[LLM application development](https://jobicy.com/jobs?search_keywords=LLM%20application%20development.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[Agentic AI design](https://jobicy.com/jobs?search_keywords=Agentic%20AI%20design.md)[Conversational AI](https://jobicy.com/jobs?search_keywords=Conversational%20AI.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[API integration](https://jobicy.com/jobs?search_keywords=API%20integration.md)[Solution architecture](https://jobicy.com/jobs?search_keywords=Solution%20architecture.md)[Healthcare operations](https://jobicy.com/jobs?search_keywords=Healthcare%20operations.md)[RAG systems](https://jobicy.com/jobs?search_keywords=RAG%20systems.md)[Vector databases](https://jobicy.com/jobs?search_keywords=Vector%20databases.md)[AI workflow optimization](https://jobicy.com/jobs?search_keywords=AI%20workflow%20optimization.md)[A/B testing](https://jobicy.com/jobs?search_keywords=AB%20testing.md)[Technical leadership](https://jobicy.com/jobs?search_keywords=Technical%20leadership.md)[Client stakeholder management](https://jobicy.com/jobs?search_keywords=Client%20stakeholder%20management.md)

Sample interview questionsHow would you identify and prioritize an AI Operational Assistant use case for a new health-system client?I would begin with structured discovery across operational leaders, end users, IT, and data stakeholders to map pain points, workflows, data availability, and measurable outcomes. I would prioritize opportunities with high operational impact, clear ownership, feasible integrations, manageable risk, and a short path to validation. I would then define success metrics, a pilot scope, failure modes, and an iteration plan before implementation.

Describe how you would design a reliable LLM-based agent that must interact with enterprise systems.

I would separate conversation orchestration, tool execution, business rules, and observability into clear components. The agent would use structured tool contracts, authentication controls, validation layers, deterministic workflows for critical actions, and safe fallbacks when confidence is low. I would also implement logging, tracing, test suites, and human escalation paths so performance and failures can be monitored and improved.

What techniques would you use to reduce hallucinations and unsafe behavior in a healthcare-oriented AI workflow?

I would ground responses in approved sources through retrieval, limit the model to narrowly defined tasks, validate tool inputs and outputs, and use explicit guardrails for prohibited actions. High-risk decisions should require deterministic checks or human review rather than relying solely on model output. Continuous evaluation with realistic edge cases, audit logs, and feedback from clinical or operational experts is essential.

How would you evaluate whether a conversational AI workflow is improving after a prompt or architecture change?

I would establish baseline metrics such as task completion, escalation rate, fallback rate, response quality, latency, user satisfaction, and operational impact. I would run offline regression tests before release, then use controlled A/B testing or phased rollout where appropriate. Results should be segmented by user type and scenario, with qualitative review of failure cases informing the next iteration.

How do you lead effectively when embedded with a client while coordinating internal engineering and data science teams?

I create a shared operating model with clear goals, owners, decision rights, milestones, and communication rhythms. I translate client needs into precise technical requirements while setting realistic expectations about scope, risks, and tradeoffs. Regular demonstrations, documented decisions, and transparent reporting help maintain alignment and allow both client and internal teams to move quickly.

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