We are looking for a Technical Architect who is passionate about healthcare interoperability architecture and regulated API enablement. The ideal candidate will have strong experience in HL7 FHIR R4, SMART on FHIR, Da Vinci Implementation Guides, X12 integration patterns, OAuth 2.0 security, and external platform integration, with a focus on translating CMS-0057 requirements into scalable, secure, production-ready API capabilities. Perficient is always looking for the best and brightest talent and we need you! We're a quickly-growing, global digital consulting leader, and we're transforming the world's largest enterprises and biggest brands. You'll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues. Perficient is the global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world’s most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what’s possible - while building a career filled with growth, balance, and purpose.

Role Description We are seeking a Solutions Architect with deep hands-on expertise across software engineering, data platforms, AI and ML, and cloud architecture. This role blends technical leadership, presales strategy, and hands-on solution design, partnering closely with Sales, Product, and Delivery teams to shape high value customer opportunities and modernize enterprise data and AI ecosystems. - Design end-to-end software solutions including application architecture, integration patterns, and cloud native design for client projects and in-house R&D initiatives. - Architect and deliver modern data platforms using Microsoft Fabric, Databricks, Snowflake, or hybrid combinations, including data warehouses, semantic models, and enterprise data architectures aligned to analytics and AI use cases. - Develop cloud architectures across Azure, AWS, and GCP balancing innovation, scalability, and cost efficiency. - Provide hands-on technical leadership across development, data engineering, AI and ML, and analytics workloads. - Architect and implement AI/ML solutions using popular LLM ecosystems including building/fine-tuning models, developing AI-powered applications, and integrating generative AI into enterprise workflows. - Lead the technical evaluation phase during sales cycles partnering with Sales and Presales to shape deal strategy, define solution scope, and build compelling technical narratives. Qualifications - 5+ years designing cloud-native software solutions and architectures on Azure, AWS, or GCP. - 6+ years working with Big Data technologies such as Apache Spark, Hadoop, Cassandra, and distributed compute frameworks. - Hands-on experience designing data platforms using Databricks, Microsoft Fabric, and Snowflake (emphasis on Fabric and Databricks), including data modeling, data warehousing, and enterprise data architecture. - Deep knowledge of the SDLC, engineering best practices, and modern development patterns. - Technical experience designing, developing, and integrating AI/ML solutions including large language models (OpenAI, Llama, custom models), vector search, prompt engineering, and building AI-powered applications. Requirements - 5+ years in client-facing presales, consulting, or solution architecture roles. - Strong ability to translate complex technical concepts into clear, compelling business value with executive presence across technical and business stakeholders. - Experience collaborating with Sales and Presales to shape opportunities, define architectures, and support deal strategy. - Strong storytelling, communication, and whiteboarding skills. Benefits - Technical experience with Power Platform (Power Apps, Power Automate, governance) and Power BI (data modeling, DAX, semantic models). - Coding experience in Python, Spark, or Scala. What You Bring - A blend of software engineering depth, data platform expertise, and hands-on AI and ML capability. - A consultative mindset with the ability to influence strategy, architecture, and customer outcomes. - Comfort operating across presales, architecture, hands-on development, and customer advocacy. - Passion for modern data, AI, and cloud technologies.

• Design and implement AI-driven solutions across enterprise systems (CRM, ERP, iPaaS) • Define architecture for integrating AI/ML capabilities into backend workflows • Lead system integration using APIs, event-driven architectures, and automation pipelines • Collaborate with business and technical teams to align AI solutions with organizational goals • Ensure scalability, security, and governance of AI systems in production environments • Communicate architectural decisions clearly to stakeholders and leadership • Drive end-to-end delivery aligned with enterprise technology standards

About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. As part of our talent pool, you’ll have access to exclusive SDR opportunities matched to your background and preferences. Job Type: Full-time Location: Remote Job Summary We’re hiring a Senior AI Automation & Systems Architect to lead the design, implementation, and optimization of scalable automation systems and product infrastructure. This role sits at the intersection of automation engineering, product development, and client communication, making it ideal for someone who can both build complex systems and clearly explain them to non-technical stakeholders. You will own the technical backbone of operations developing workflows, integrating platforms, and ensuring all systems are scalable, reliable, and well-documented. Key Responsibilities - Product & Documentation - Audit, optimize, and scale existing client-facing automation systems - Build advanced automation workflows using tools like GoHighLevel, n8n, Make, or Zapier - Develop and maintain clear technical documentation (SOPs, guides, internal knowledge base) - Integrate multiple tools and platforms via APIs and webhooks - Client Solutions - Design end-to-end AI and automation systems tailored to client business needs - Build workflows for lead generation, nurturing, content creation, and sales pipelines - Architect integrations across CRM, email, calendars, payment systems, and project management tools - Maintain and troubleshoot live systems to ensure performance and scalability - Communication & Support - Translate technical concepts into clear, actionable insights for non-technical stakeholders - Advise clients and internal teams on best implementation strategies - Create structured outlines for technical content (videos, documentation, articles) - Provide ongoing technical support across systems and workflows - Internal Infrastructure - Own and scale internal automation systems for onboarding, operations, and data management - Build and maintain CRM systems (primarily GoHighLevel) - Ensure all systems are reliable, efficient, and scalable