• AI Agent Development: Build, test, and deploy AI agents and LLM-powered automation workflows. • Work hands-on with Python to analyze data, experiment with new natural language model architectures, perform prompt engineering on LLMs, benchmark and monitor model accuracy, deploy models into production for real-time inferencing to support various use cases. • Develop and maintain prompt engineering strategies for AI-powered pipelines, optimizing for reliability, accuracy, and performance. • Integrate AI outputs with Salesforce and other enterprise systems by structuring and routing model responses into the correct records, objects, and workflows. • Build PDF and document extraction pipelines using LLM models to parse clinical and operational documents and feed structured data downstream. • Support the monitoring and error handling of AI-powered workflows, troubleshooting failures and improving pipeline resilience. • Track and report on AI agent performance metrics and operational ROI, supporting data-driven decision-making for future investments.

Job Description: About Streamline Healthcare Solutions Here at Streamline, we strive on building lasting and trusting relationships with our clients, and our employees set the bar. Streamline’s mission is to build innovative technology solutions that empower people who improve behavioral health and quality of life of those in need. We are a high growth technology company that delivers web-based software for healthcare organizations to provide and coordinate all service delivery processes. Streamline has been offering software in the behavioral health marketplace since 2003. Streamline has built and maintains systems for some of the nation’s premier behavioral health organizations using the latest web-based technology. Streamline offers competitive compensation and benefits packages as well as a challenging, yet flexible, work environment that is conducive to collaboration and productivity. A career with Streamline Healthcare Solutions provides opportunities for growth and continued learning in a workplace where individual contribution is valued and recognized. Join us, and advance your career today with a company that is on the cutting edge of the behavioral healthcare technology industry. Summary of the Lead AI Software Engineer This senior-level role focuses on designing and delivering AI/ML solutions for the healthcare industry—spanning LLM-powered applications, retrieval-augmented generation (RAG), and predictive models. You will co-design AI solutions with the AI Architect and own product-level design and end-to-end implementation (data pipelines, training/fine-tuning, evaluation & guardrails, deployment, and monitoring) within enterprise standards. The role is Azure-first and requires hands-on experience with OpenAI or Anthropic models, Microsoft Copilot, GitHub Copilot, and strong competence with SQL Server (SSMS) and Visual Studio. A commitment to HIPAA-compliant handling of PHI, Responsible AI, and measurable clinical and business outcomes is essential. Healthcare domain experience—either clinical or revenue cycle management—is required. This position is remote and based in the United States. The salary range is $150,000 - $200,000, DOE. Employment visa sponsorship is not available for this role. Responsibilities of the Lead AI Software Engineer - Co-design AI solutions with the AI Architect and own product-level solutioning and delivery within enterprise AI architecture, standards, and governance. - Lead end-to-end implementation for your product/squad: - RAG over EHR/claims/clinical text using embeddings and vector search. - Model development and training/fine-tuning (LLMs and classical ML), evaluation frameworks, and guardrails (hallucination reduction, safety, PII/PHI handling). - Production deployment with containerization/orchestration, and GPU-aware inference where applicable. - Establish and operate MLOps: experiment tracking and model registry, CI/CD for ML, canary/A/B testing, and monitoring for latency, accuracy, drift, bias, and cost. - Own reliability, security, and cost for your product’s AI services: define SLOs, participate in on-call/incident response, manage token/GPU budgets, and optimize prompts, embeddings, caching, and indexing. - Build and maintain data pipelines (e.g., Spark/Databricks or equivalent) and ensure robust SQL Server performance and data quality; collaborate with DBAs and data engineers using SSMS. - Ensure HIPAA compliance and Responsible AI practices across development and operations; partner with security and compliance to meet policy requirements. - Collaborate with product management, domain experts, and compliance to translate requirements into safe, reliable, high-impact AI services. - Conduct reviews emphasizing code quality, experiment rigor, reproducibility, and evaluation discipline; mentor engineers and data scientists. - Participate in architecture reviews; propose improvements and contribute reusable components (RAG templates, evaluation harnesses) back to the shared AI platform. - Leverage Microsoft Copilot and GitHub Copilot to improve developer productivity, code quality, and documentation, aligning with organizational governance. Education and Experience Requirements for the Lead AI Software Engineer - Bachelor’s degree in Computer Science, Information Technology, Computer Information Systems, Health Informatics, or a related field. - Healthcare domain experience: either clinical (e.g., care delivery, clinical documentation, quality) or revenue cycle management (e.g., coding, claims, denials, prior auth). - 10+ years in software engineering; 5+ years building and shipping ML/AI solutions; 2+ years leading AI/ML initiatives or teams. - Azure AI Foundry (Azure AI Studio) knowledge for developing, evaluating, and operationalizing LLM solutions; familiarity with Azure AI resources and deployment patterns. - Proficiency with SQL Server Management Studio (SSMS) for SQL development, performance tuning, and troubleshooting; strong T-SQL fundamentals. - Proficiency with Visual Studio and experience integrating AI services into .NET/C# applications or services where needed. - Hands-on experience using OpenAI or Anthropic models (e.g., GPT-4.x/4o, Claude 3.x), including prompt engineering, function/tool calling, and evaluation. - Experience with Microsoft Copilot and GitHub Copilot in professional workflows (coding assistance, test generation, documentation) with awareness of usage policies and data boundaries. - Strong Python and ML ecosystem: PyTorch/TensorFlow, transformers/Hugging Face, embeddings, LLM orchestration (e.g., LangChain or LlamaIndex), and vector databases (e.g., FAISS, Azure AI Search, Pinecone). - MLOps: MLflow/W&B (or equivalent), Docker, Kubernetes, CI/CD for ML, model registries, monitoring (drift, performance, bias), A/B testing, and rollback strategies. - Cloud AI on Azure (preferred): Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure ML, Azure Key Vault, with solid understanding of IAM, secrets, and encryption. - Demonstrated security, privacy, and compliance competence: HIPAA, PHI/PII handling and de-identification (e.g., Presidio), Responsible AI practices. - Excellent communication and cross-functional collaboration, including with clinical stakeholders and compliance teams. Preferred Education and Experience Requirements for the Lead AI Software Engineer - Experience with FHIR and HL7 data standards; clinical NLP (entity extraction, summarization, coding/RCM use cases); and/or medical imaging (DICOM). - Databricks (Delta Lake, Spark), Airflow (or similar orchestration), and Azure-native data services (e.g., Data Factory, Synapse). - GPU/CUDA experience; inference optimization (quantization, distillation); prompt/token budgeting and caching strategies for LLM workloads. - Governance & ethics: model cards, datasheets for datasets, bias/fairness evaluations, and red-teaming. - Familiarity with .NET microservices and API design to integrate AI services into enterprise systems. Streamline Healthcare Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law.

Job Description: About Streamline Healthcare Solutions Here at Streamline, we strive on building lasting and trusting relationships with our clients, and our employees set the bar. Streamline’s mission is to build innovative technology solutions that empower people who improve behavioral health and quality of life of those in need. We are a high growth technology company that delivers web-based software for healthcare organizations to provide and coordinate all service delivery processes. Streamline has been offering software in the behavioral health marketplace since 2003. Streamline has built and maintains systems for some of the nation’s premier behavioral health organizations using the latest web-based technology. Streamline offers competitive compensation and benefits packages as well as a challenging, yet flexible, work environment that is conducive to collaboration and productivity. A career with Streamline Healthcare Solutions provides opportunities for growth and continued learning in a workplace where individual contribution is valued and recognized. Join us, and advance your career today with a company that is on the cutting edge of the behavioral healthcare technology industry. Summary of the AI Architect The AI Architect owns the enterprise AI architecture, standards, and governance for healthcare-grade solutions—establishing reference patterns, platforms, and guardrails that product teams use to safely and efficiently deliver LLM applications, RAG systems, and ML services. This role partners with Security/Compliance, Data/Platform, and Product leaders to ensure HIPAA-aligned handling of PHI/PII, Responsible AI practices, and measurable clinical and business outcomes. The ideal candidate brings deep Azure experience (including Azure AI Foundry / Azure AI Studio), broad knowledge of OpenAI or Anthropic models, and proven enterprise architecture leadership. This position is remote and based in the United States. The salary range is $150,000 - $200,000, DOE. Employment visa sponsorship is not available for this role. Responsibilities of the AI Architect Enterprise Architecture & Standards - Define and maintain reference architectures for LLM applications, RAG patterns, classical ML, and AI-enabled services across the organization. - Establish solution blueprints for embeddings/vector search, prompt orchestration, guardrails/safety layers, evaluation frameworks, lineage, and observability. - Publish SLO/SLA templates, token/GPU budget rules, multi-tenancy/isolation approaches, and cost governance playbooks. Platform & Tooling - Own platform and tooling selection for Azure AI (Azure AI Foundry/Studio, Azure OpenAI, Azure AI Search, Azure ML), Databricks (Delta Lake, MLflow), and orchestration (Airflow or Azure Data Factory). - Define standard patterns for vector databases (e.g., Azure AI Search, Pinecone, FAISS), feature store usage, and data ingestion/streaming. - Provide reference implementations and reusable accelerators (RAG starter kit, evaluation harness, prompt library, safety policies). Security, Compliance & Responsible AI - Embed PHI/PII safeguards and HIPAA-aligned controls into SDLC and CI/CD gates; standardize data boundaries, de-identification/anonymization (e.g., Presidio), Key Vault, encryption, RBAC, and auditability. - Define and operationalize Responsible AI requirements (bias/fairness evaluations, model cards, data sheets, red-teaming) as release criteria. - Partner with Security/Compliance on risk assessments, release approvals, and policy updates; review high-risk use cases Solution Governance & Reviews - Lead the AI Architecture Review process; manage deviations from standards with an exception register and migration plans. - Advise squads on prompt design, tool/function calling, grounding/RAG strategies, evaluation design (hallucination, safety, utility), and observability (latency, accuracy, drift, cost). Collaboration & Enablement - Collaborate with Lead AI Software Engineers, data scientists, and platform teams to land architectures in production. - Mentor teams in Azure AI Foundry, OpenAI/Anthropic model usage, Microsoft Copilot, and GitHub Copilot—including governance and data leakage prevention. - Run communities of practice, internal training, and publish architecture decision records (ADRs) and technical standards. Education and Experience Requirements for the AI Architect - Bachelor’s degree in Computer Science, Information Technology, Computer Information Systems, Health Informatics, or a related field. - 10+ years in software/solution architecture with 5+ years in AI/ML systems and 2+ years leading enterprise AI architecture or platform initiatives. - Enterprise cloud architecture (Azure): Azure AI Foundry (Azure AI Studio), Azure OpenAI, Azure AI Search, Azure ML, Azure Key Vault, networking/IAM, encryption, logging/monitoring. - Hands-on architectural experience with OpenAI or Anthropic models (e.g., GPT‑4.x/4o, Claude 3.x): prompt & tool calling patterns, grounding/RAG, evaluation methodologies. - Demonstrated Responsible AI leadership: guardrails, safety filters, bias/fairness evaluations, model cards/datasheets, and red-teaming processes. - Security & privacy familiarity: PHI/PII protections and HIPAA-aligned design patterns; ability to translate policy into technical controls and CI/CD checks. - Data platform fluency: Databricks (Delta Lake, MLflow), Spark, orchestration (Airflow or Azure Data Factory/Synapse), and data governance (e.g., Purview). - MLOps standards: model registry, CI/CD for ML, environment isolation, canary/A/B testing, drift/performance/cost monitoring, rollback strategies. - Strong understanding of SQL Server data modeling and performance; able to guide teams using SSMS and review T‑SQL patterns for AI data workloads. - Familiarity with Visual Studio and .NET integration patterns to ensure AI services fit the enterprise application ecosystem. - Experience enabling secure, governed use of Microsoft Copilot and GitHub Copilot in engineering workflows. - Excellent communication and influence skills; proven success leading architecture reviews and driving cross-functional decisions. Preferred Education and Experience Requirements for the AI Architect - Healthcare domain knowledge (clinical or revenue cycle management): FHIR/HL7, EHR/claims data integration, and clinical NLP (entity extraction, summarization, coding/RCM use cases). - Inference optimization: GPU/CUDA, quantization/distillation, caching strategies, prompt/token budgeting, multi-tenant cost control. - Security/compliance certifications (e.g., HCISPP, CISSP) or demonstrable leadership in healthcare-grade architectures. - Track record of creating reusable accelerators/libraries/platform capabilities adopted across multiple teams. - Governance & ethics: model cards, datasheets for datasets, bias/fairness evaluations, and red-teaming. - Familiarity with .NET microservices and API design to integrate AI services into enterprise systems. Streamline Healthcare Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law.

At Prime Therapeutics (Prime), we are a different kind of PBM, with a purpose beyond profits and a unique ability to connect care for those we serve. Looking for a purpose-driven career? Come build the future of pharmacy with us. Job Posting Title AI Enablement PrincipalJob Description The AI Enablement Principal leads enterprise-wide readiness, adoption, and workforce capability building for AI across the organization. This role serves as a subject matter expert in AI training, organizational readiness, and change enablement, ensuring employees and leaders have the skills, mindset, and support to successfully adopt AI-powered tools, processes, and ways of working. The AI Enablement Principal is a strategic influencer who partners with senior leaders, the AI COE, HR, IT, Compliance, Security, and business functions to drive AI literacy, accelerate adoption, and embed AI into daily operations. The role is responsible for building scalable enablement programs, developing repeatable adoption frameworks, and guiding cultural transformation to position AI as a key strategic enabler across the enterprise. Responsibilities - Lead the design and implementation of enterprise-wide AI readiness and adoption strategies aligned to organizational goals and responsible AI standards - Collaborate with the AI COE, HR, IT, Compliance, Security, and OEI/PMO to align enablement, governance, communication, and change efforts - Design and deliver a comprehensive AI training and enablement framework, including role based learning paths, onboarding, skill assessments, and reinforcement programs - Develop and maintain scalable learning materials, toolkits, communication assets, and self service resources to support AI adoption - Partner with business leaders to identify workforce capability needs while leveraging feedback loops and data-driven insights to continuously refine AI training, adoption strategies, and team-level AI-enabled workflows - Establish repeatable models for AI rollout, including use case intake, assessment, prioritization, and adoption readiness - Advise senior leaders on AI adoption readiness, training strategies, and organizational implications of AI deployment - Other duties as assigned Minimum Qualifications - Bachelor’s degree in human resources, business, technology, or related field; or equivalent combination of education and experience; High school diploma from an accredited school or GED required - 7 years of experience in human resources, change management or technology adoption including 2 years leading AI driven initiatives in technology-related training, digital adoption, or transformation readiness initiatives Must be eligible to work in the United States without the need for work visa or residency sponsorship Additional Qualifications - Strong understanding of AI concepts, user enablement, digital workflows, and change management best practices - Excellent facilitation and presentation skills with the ability to translate complex technical concepts into accessible learning experiences - Demonstrated ability to influence senior leaders and collaborate across matrixed teams - Ability to plan, prioritize, and lead multiple complex initiatives in a fast-paced environment - Strong data literacy with the ability to measure adoption effectiveness and continuously improve program design Preferred Qualifications - Strong understanding of AI concepts, user enablement, digital workflows, and change management best practices - Excellent facilitation and presentation skills with the ability to translate complex technical concepts into accessible learning experiences - Demonstrated ability to influence senior leaders and collaborate across matrixed teams - Ability to plan, prioritize, and lead multiple complex initiatives in a fast-paced environment - Strong data literacy with the ability to measure adoption effectiveness and continuously improve program design Every employee must understand, comply with and attest to the security responsibilities and security controls unique to their job, and comply with all applicable legal, regulatory, and contractual requirements and internal policies and procedures Every employee must be able to perform the essential functions of the job and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions, absent undue hardship. In addition, Prime retains the right to change or assign other duties to this job Potential pay for this position ranges from $124,000.00 - $211,000.00 based on experience and skills. To review our Benefits, Incentives and Additional Compensation, visit our Benefits Page and click on the "Benefits at a glance" button for more detail (https://www.primetherapeutics.com/benefits). Prime Therapeutics LLC is proud to be an equal opportunity and affirmative action employer. We encourage diverse candidates to apply, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex (including pregnancy), national origin, disability, age, veteran status, or any other legally protected class under federal, state, or local law.   We welcome people of different backgrounds, experiences, abilities, and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. Prime Therapeutics LLC is a Tobacco-Free Workplace employer. Positions will be posted for a minimum of five consecutive workdays.