---
title: 'Applied AI Solutions Architect at Midstream Health'
canonical: 'https://feeny.ai/job/applied-ai-solutions-architect-midstream-health-san-francisco-32etbt1vhf4r'
type: 'job'
last_seen: '2026-09-11'
---

# Applied AI Solutions Architect at Midstream Health

- **Company:** Midstream Health
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-05
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/midstream/9544e5e1-fdc1-43d6-930b-4dfb3bcb6836

## Job description

Midstream is an AI-native financial operating system for health systems, founded by experienced entrepreneurs and backed by top-tier investors. We give finance, supply chain, and managed care teams real-time visibility into where margin is at risk, with a precise action plan for capturing it before it's gone. Purpose-built for healthcare's complexity, Midstream transforms structured, unstructured, and external data into instant, contract-aware insights that drive smarter decisions. Our AI agents unify spend and revenue operations across the full back-office, learning and adapting with every interaction and delivering always-on intelligence that no point solution or one-off engagement can match. We're compressing months to minutes and turning post-period hindsight into in-the-moment foresight. The tempo of healthcare finance is changing, and Midstream is leading it.

Opportunity This role sits at the intersection of Sales, Product, Engineering, and Partner Success, serving as the technical bridge between prospective customers and Midstream’s AI-native platform. You will lead technical discovery, solution architecture, architecture discussions, and technical validation—helping customers understand how Midstream integrates into complex healthcare environments and how our platform delivers measurable operational and financial outcomes. As a trusted technical advisor, you will guide executive stakeholders, enterprise architects, security teams, and technical leaders throughout the customer journey—from initial discovery and solution design through implementation planning and deployment. You’ll help customers evaluate technical approaches, navigate enterprise architecture decisions, and build confidence that Midstream can integrate securely and scale within their existing technology ecosystem. This is a high-impact, customer-facing role. Beyond supporting strategic customer engagements, you will help establish the technical foundation that enables Midstream to scale by developing repeatable architecture patterns, demonstration environments, implementation frameworks, and technical assets that elevate the entire commercial organization while shaping the evolution of our product.

## How you'll make an impact

Lead technical discovery Partner with prospective customers to understand their technical landscape, business objectives, integration requirements, AI governance considerations, and long-term technology strategy. Design enterprise solutions Develop solution architectures, AI implementation strategies, and phased deployment approaches that demonstrate how Midstream integrates within complex healthcare environments while delivering measurable business value Own technical validation Lead technical discovery sessions, architecture reviews, executive workshops, product demonstrations, security discussions, and technical evaluations throughout the enterprise buying process Serve as a Trusted Technical Advisor Guide enterprise customers through their AI adoption journey, helping executives, architects, security teams, and operational leaders evaluate technical tradeoffs, implementation approaches, and long-term architecture decisions. Develop AI Evaluation Frameworks Help customers define evaluation criteria, success metrics, governance models, and implementation approaches that enable safe and successful deployment of AI within healthcare environments Build and maintain scalable technical assets Continuously improve demonstration environments, technical documentation, reference architectures, integration patterns, implementation playbooks, and reusable technical frameworks that enable Midstream to scale. Shape the product Partner closely with Product and Engineering to identify recurring implementation patterns, customer needs, and integration opportunities that inform product strategy and future platform capabilities. Build the Technical GTM Foundation Create repeatable demonstrations, technical messaging, architecture patterns, and implementation methodologies that reduce technical risk, accelerate enterprise sales cycles, and enable every commercial team member to succeed

## Who you are

Passionate About Applied AI You are energized by helping organizations responsibly adopt AI. You stay current on modern AI architectures, LLM capabilities, agentic workflows, and emerging enterprise AI patterns, and enjoy translating these innovations into practical business outcomes. A trusted technical advisor You build credibility quickly with executives, enterprise architects, security teams, and technical stakeholders. Experienced in enterprise software You've worked as a Solutions Architect, Solutions Consultant, Applied AI Architect Sales Engineer, or similar customer-facing technical role supporting complex enterprise software. A systems thinker You understand APIs, cloud architecture, enterprise integrations, identity management, data engineering, and AI workflows, and can translate technical concepts into business outcomes. An exceptional communicator You are equally comfortable leading executive strategy conversations, whiteboarding architecture with engineering teams, facilitating technical workshops, and presenting live demonstrations. A builder You enjoy creating reusable demonstrations, implementation patterns, documentation, and technical assets that make the entire organization more effective—not just yourself. Customer obsessed You view every customer conversation as an opportunity to reduce risk, build trust, and improve the product. Cross-functional team member You thrive at the intersection of Sales, Product, Engineering, and Customer Success, balancing competing priorities while aligning diverse stakeholders around a common technical vision

## Preferred Experience

- Experience supporting enterprise AI, machine learning, analytics, or cloud platform deployments.
- Familiarity with modern LLMs, AI agents, evaluation frameworks, retrieval-augmented generation (RAG), or enterprise AI architecture.
- Experience designing secure cloud-native architectures and integrating enterprise applications through APIs.
- Python experience or the ability to prototype technical workflows.
- Healthcare interoperability, ERP, finance, supply chain, payer, or enterprise healthcare systems experience is strongly preferred.

## About Midstream Health

## Company Overview
- **One-liner**: Midstream Health provides an AI-powered financial action platform that gives health systems real-time visibility into margin risks and enables proactive optimization of revenue and cost.
- **Entity Type**: Private (venture-backed, stage not publicly disclosed)
- **Headquarters**: San Francisco, CA, USA (primary office)
- **Founded**: 2009 (per Built In profile; other sources indicate a more recent inception – conflicting reports)
- **Founders**: Venkat Mocherla (CEO) and Sumit Kadakia (President)

## Core Business
- **Primary industry**: Healthcare Financial Technology (HealthTech / FinTech for health systems)
- **Target customers**: Health systems, hospitals, and managed care organizations (B2B, enterprise)
- **Mission / Purpose Statement**: “Restoring financial clarity to healthcare by surfacing what matters, when it matters.”

## Products & Services
- **AI-Powered Financial Action Platform**: A SaaS platform that ingests fragmented contract, pricing, rebate, and payer data to surface margin opportunities (e.g., missed rebates, underpayments, pricing variances). Features include 24/7 AI agents, natural-language query, real-time scenario planning, and verified traceability back to source data. Designed for supply chain, pharmacy, managed care, and finance teams.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metrics**:  
  - Over **$80B in net patient revenue** managed through the platform (as of late 2025)  
  - **1,461+** opportunities surfaced (likely metric)  
  - **90 days** to realise value? (incomplete data)  
  - **Funding**: Not publicly available. Notable advisors include Mo Kaushal (Advisor to General Catalyst), suggesting VC backing.
- **Notable Investors / Partners**: Advisors include Mo Kaushal (General Catalyst), Vance Moore (ex-President Mercy), Mitch Morris (ex-Vice Chairman Deloitte), Nancy McCutchen (ex-SVP Optum), Debby Meredith (ex-VP Engineering Netscape), and Andy Murphy (Partner Chartis). Customer reference: CommonSpirit Health (CIO Daniel Barchi).
- **Growth Signals**: Emphasis on “measurable margin impact in days”; platform deployment is fast (“no multi-year implementation”); hiring across engineering, product, and partnerships (7 open roles as of July 2025).

## Competitive Advantages
- **Purpose-built for healthcare**: Integrates with existing health system workflows; fills critical data gaps with proprietary datasets.
- **Speed to value**: AI agents surface opportunities that can be acted on in days, not months.
- **Closed-loop execution**: Not just analytics – every opportunity is traced to source data, enabling leaders to act immediately.
- **Domain‑trained AI**: Continuously learns from contract, pricing, and rebate data to become smarter over time.
- **Strong advisory network** with deep healthcare and technology expertise.

## Strategic Focus
- **Proactive vs. reactive**: Shift health system finance from post-period hindsight to real-time foresight.
- **Data completeness**: Build proprietary datasets to complement fragmented health system data.
- **Agentic optimization**: Expand AI agent coverage across supply chain, pharmacy, and managed care.
- **Scaled impact**: Target larger health systems and multi-hospital networks (e.g., CommonSpirit Health).

## Why Work Here
- **Culture**: Small, tight-knit team with values of transparency, collaboration, ownership mindset, and speed. “We build with, not for, each other.”
- **Work model**: Hybrid office in San Francisco (employees split time between remote and on-site). Some roles listed as remote.
- **Perks**: Competitive pay & equity, full medical/dental/vision, flexible PTO & family leave, commuter benefits, pet-friendly office, daily team lunches, professional development stipends, weekly social events.
- **Engineering culture**: “We ship early and often” – emphasis on fast iteration and ownership of outcomes. Team includes operators, engineers, and health system experts.

## Sources
1. [midstream.health](https://www.midstream.health/) – Company landing page  
2. [midstream.health/careers](https://www.midstream.health/careers) – Careers page with perks and job openings  
3. [midstream.health/about](https://www.midstream.health/about) – About page with leadership, advisors, and values  
4. [builtin.com/company/midstream-health](https://builtin.com/company/midstream-health) – Company profile including founded year, office location, and job listings  
5. [jobs.ashbyhq.com/midstream](https://jobs.ashbyhq.com/midstream) – Active job postings

## Other roles at Midstream Health

- [GTM Operations](https://feeny.ai/job/gtm-operations-midstream-health-united-states-ccg2j5d8v74g) — United States
- [Partnership Engagement](https://feeny.ai/job/partnership-engagement-midstream-health-united-states-kxe9cqcerzee) — United States
- [Product Lead](https://feeny.ai/job/product-lead-midstream-health-san-francisco-wj7rm4tg0b99) — San Francisco, CA
- [Software Engineer, Product](https://feeny.ai/job/software-engineer-product-midstream-health-san-francisco-94aqgd3mksw7) — San Francisco, CA