• Design end-to-end AI solution architectures for client engagements, from problem discovery through production deployment. • Build and implement retrieval-augmented generation (RAG) pipelines, agentic workflows, and multi-agent systems using frameworks such as LangChain and LangGraph. • Architect data pipelines and integration patterns that connect AI capabilities to existing client systems and data sources. • Work with tool-layer integration standards, including Model Context Protocol (MCP), to connect agents with enterprise systems. • Develop reusable components, skills, templates, and accelerators that can scale across multiple engagements. • Collaborate with project leads, consultants, and subject matter experts to translate business requirements into technical specifications and solution designs. • Support internal product development across MGT’s AI tool suite. • Present technical architectures and solution recommendations to internal leadership and client stakeholders. • Participate in discovery sessions and workshops to identify high-impact AI use cases within client organizations.

Role Description The Principal IT Architect (Business Solutions & Applications) will define and drive enterprise application architecture strategy, ensuring the organization’s technology solutions align with corporate strategy, enhance operational efficiencies, and support long-term healthcare business goals. As a senior technical leader, you will shape enterprise-wide design principles, provide architectural thought leadership across critical software portfolios, and establish solution design governance centered around a Minimum Viable Architecture (MVA) framework. This role will be heavily focused on EMR and clinical systems, partnering closely with executive and clinical leadership to influence strategic investments, guide complex buy-build-customize analyses, and mentor senior architects across the healthcare enterprise. - Defines and drives enterprise architecture strategy and multi-year technology roadmaps aligned with organizational objectives. - Serves as a trusted advisor to executive leadership on enterprise technology direction, investment priorities, and technology risk considerations. - Leads governance of architectural decisions, standards, and frameworks across the organization. - Evaluates emerging technologies and assesses their potential impact on enterprise systems and technology strategy. - Provides architectural leadership for enterprise-scale transformation initiatives, ensuring alignment with architecture principles and enterprise standards. - Mentors and guides architects and engineering leaders to strengthen enterprise architecture maturity and capability. Qualifications - Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field; or the equivalent required. - Master's Degree in Computer Science, Information Technology, Engineering, or related field; or the equivalent preferred. - More than 10 years of experience in IT architecture, systems design, or related engineering disciplines required. - 15+ years of experience in IT or Cybersecurity preferred. - 7+ years of experience in application architecture in a clinical setting preferred. Requirements - Deep expertise across multiple architecture domains, including enterprise, cloud, infrastructure, application, and network architecture. - Ability to design and communicate enterprise-scale architecture solutions with measurable business impact. - Strong executive communication skills with the ability to influence strategic technology and investment decisions. - Experience leading digital transformation and large-scale technology modernization initiatives. - Demonstrated thought leadership, mentoring, and cross-functional collaboration skills. Licenses and Certifications - Relevant certifications such as TOGAF, AWS Solutions Architect, Azure Solutions Architect, or comparable credentials preferred.

• Configure SAML 2.0 and OIDC SSO integrations end-to-end, leading technical coordination with third-party vendors. • Set up SCIM 2.0 provisioning and implement group-based Role-Based Access Control (RBAC) within Okta. • Create and synchronize target groups utilizing the internal IAM portal. • Deploy Okta application configurations (including SAML/OIDC apps, group patterns, and SCIM) via Terraform within a shared Infrastructure as Code (IaC) repository. • Manage ongoing daily access operations, including provisioning/deprovisioning lifecycles and URI/attribute modifications. • Author, present, and execute Change Advisory Board (CAB) tickets for all production-level modifications.

Role Description We're seeking an experienced Enterprise Data Architect Solutions Leader to join our growing team of AI and data professionals. In this pivotal role, you'll design and implement scalable, high-performance data architectures that power cutting-edge AI solutions while leading technical teams and driving enterprise transformation. Working at the intersection of enterprise data systems and generative AI technologies, you'll help us unlock the full potential of our data assets through modern lakehouse platforms and intelligent automation. - Lead data strategy initiatives including current state assessments, enterprise architecture design, and governance frameworks - Design and implement cloud-native data lakehouse platforms (Databricks, Snowflake, BigQuery) with medallion architectures - Build real-time and batch data pipelines using modern ETL/ELT, streaming, and orchestration technologies - Architect and develop generative AI solutions including RAG pipelines, multi-agent systems, and autonomous monitoring - Create advanced analytics and BI solutions with modern self-service platforms (Tableau, Power BI) - Lead technical teams, mentor data professionals, and drive innovation lab initiatives - Conduct client discovery sessions and translate complex technical concepts for executive audiences - Implement MLOps, feature stores, and AI/ML pipeline development with performance optimization - Establish data governance standards, quality monitoring, and observability engineering practices Qualifications - Bachelor's degree in Computer Science, Data Engineering, or related field (Master's preferred); or equivalent industry experience - 10+ years of experience in data architecture and engineering, with 5+ years in enterprise-scale systems and 3+ years in AI/ML platforms - Hands-on expertise with Databricks, Delta Lake, Unity Catalog, and modern data lakehouse architectures - Proficiency in TypeScript, Python, SQL, and cloud serverless architectures (AWS, GCP, Azure) - Experience building RAG pipelines, vector databases, LLM operations, and multi-model AI systems - Strong leadership skills with proven ability to lead technical teams and influence enterprise stakeholders - Hands-on problem solver with a "get it done" mindset—ready to architect solutions and write production code - Excellent communication skills with ability to present to C-level executives and translate business requirements - Proven consulting experience with enterprise clients, demonstrating strong business acumen and partnership building Requirements - Production experience with frameworks like LangGraph, agentic workflows, and autonomous AI monitoring systems - Full-stack development experience including single-page applications for data engineering solutions - Advanced cloud certifications (AWS/Azure/GCP Professional, Databricks) or methodology certifications (TOGAF, CDMP) - Experience with streaming architectures (Kafka, Spark), real-time analytics, and cost optimization (FinOps) - Published thought leadership, conference speaking, or contributions to open-source AI/data projects Benefits - Leadership: Play a key role in shaping the future of a company at the forefront of AI innovation, contributing to groundbreaking products, transformative solutions, and industry success stories. - Competitive Pay: Earn a competitive salary with opportunities for growth and recognition. - Comprehensive Benefits: Access health, dental, and vision insurance, Paid Time Off and parental leave, offering flexibility to support your well-being. - Remote-First Culture: Thrive in a flexible environment with additional opportunities for in-person meetups to foster connection and collaboration. - Professional Growth: Build your skills and creativity while working on innovative projects that redefine what’s possible with AI.