Jobs at Aledade

Develops scalable data models, Databricks pipelines, backend applications, ETL processes, and data ingestion systems. Partners with engineering, product, and business stakeholders on technical roadmaps; monitors and optimizes data systems for performance, reliability, and scalability. Provides technical leadership, mentors junior engineers, conducts code reviews, and builds secure solutions for sensitive healthcare data.

Own and extend Aledade’s AI enablement platform, including the MCP Gateway, connector integrations, plugin marketplace, model gateway, observability, telemetry, and cost attribution. Build secure authentication and authorization flows, CI/CD and distribution tooling, evaluation harnesses, model routing, and agent collaboration features. Mentor engineers, document platform practices, run enablement sessions, triage requests, and support on-call operations for gateway and marketplace availability.

Lead the roadmap and delivery of an AI data platform supporting internal teams and external healthcare products. Manage ML and LLM platform workstreams across data ingestion, training, deployment, monitoring, and workflow optimization. Partner with AI engineers, researchers, data scientists, clinical leaders, and business stakeholders to define requirements, develop user stories, validate model performance, and turn proofs of concept into scalable production capabilities.

Leads one or more healthcare markets, setting strategy, managing value-based care performance, and overseeing financial accountability. Builds relationships with payers, physician practices, health systems, government entities, and other stakeholders. Directs market operations, growth initiatives, ACO boards, and cross-functional collaboration with centralized support teams. Establishes savings and quality targets, drives OKRs, develops team members, and supports succession planning. The role requires extensive healthcare, value-based care, client leadership, and management experience with travel up to 50–75%.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Design, implement, and support Five9-based telephony and API integrations, lead contact center platform migrations and automation, manage SIP trunking and carrier connectivity, coordinate security and vendor assessments, monitor and troubleshoot telephony systems, and evaluate emerging AI and automation solutions to modernize contact center operations.

Build scalable full-stack applications integrating healthcare insights with browser-based and Windows EHR systems. Develop products using FHIR and HL7 interoperability standards, collaborate on technical roadmaps, and implement performant solutions. Mentor junior engineers, conduct code reviews, make technical decisions, and partner with engineering, product, and business stakeholders using Agile processes.

The Employee Relations Partner advises leaders on performance management, workplace conflicts, conduct issues, policy violations, and complex investigations. The role partners with People and Legal teams, manages case documentation and metrics, recommends corrective actions, supports employee relations training, identifies process improvements, and stays current on employment law. Strong judgment, confidentiality, communication, conflict management, and knowledge of U.S. employment regulations are required.

Design, implement, and scale web and data pipeline solutions focused on generative AI and LLMs. Improve AI/ML infrastructure for model development, training, deployment, and prompt engineering. Partner with product and stakeholders to prioritize applied AI use cases, ensure PHI security and regulatory compliance, mentor junior engineers, and contribute APIs and integrations to embed generative AI into healthcare applications.

Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

The Principal Engineer will architect and develop scalable AI-driven data platforms, mentoring engineers and aligning technical strategies with business goals.

Lead strategy and execution for risk stratification/risk adjustment go-to-market and partnerships with payers, practices, and vendors. Provide subject-matter expertise, direct junior team members, coordinate cross-functionally across product, analytics, technology, and care programs, and scale initiatives that improve diagnosis documentation and performance.