• Build production-grade systems that operate in real-world clinical settings • Integrate intelligent systems directly into neonatal precision medicine

Role Description We are looking for a Senior Applied AI Engineer to help design, build, and scale the systems that power AI across the BrightPlan platform. This role will play an important part in shaping how AI systems evolve within BrightPlan’s product architecture. - Focus on developing reliable, scalable infrastructure and frameworks for LLM-powered applications. - Work closely with the CTO to help shape technical decisions around AI architecture, model usage, and system evolution. - Ideal for an engineer who enjoys owning complex technical problems and building the systems that make production AI reliable and scalable. - Opportunity to have significant technical impact in a real-world fintech environment. What You’ll Do - Design and implement scalable AI services and supporting infrastructure that enable AI-powered product capabilities across the platform. - Develop solutions for evaluating and improving LLM output quality. - Build frameworks and tooling that support AI feature development across the engineering team. - Develop and maintain systems that support model tuning, evaluation, and optimization. - Contribute directly to deployment and operational reliability of AI services in production environments. - Optimize AI services for latency, cost efficiency, and reliability. - Partner with the CTO to evaluate emerging AI capabilities and recommend technical approaches for model usage, architecture, and system design. - Provide technical guidance to engineers building AI-powered features and help establish effective development patterns and engineering best practices. - Contribute to technical architecture discussions related to AI systems and platform capabilities. What Success Looks Like - Contribute meaningfully to establishing reliable systems supporting AI-powered product features within your first 90 days. - Improve the performance, consistency, and reliability of AI-generated outputs. - Enable faster experimentation and iteration for AI product development. - Help establish development patterns and technical practices that enable other engineers to build AI-powered features more effectively. - Demonstrate strong technical leadership and ownership of AI system design and implementation. Qualifications - 5+ years of software engineering experience, including strong backend or systems development experience. - Strong Python development experience. - Experience designing and building backend services or distributed systems. - Experience integrating LLM APIs, generative AI services, or AI-enabled capabilities into production systems. - Experience evaluating or improving AI model performance in production environments. - Strong problem-solving and systems design skills. - Ability to collaborate effectively in a cross-functional team. Nice to Have - Experience with FastAPI or similar frameworks. - Experience with model fine-tuning, retrieval-augmented generation (RAG), prompt evaluation, or LLM evaluation methods. - Experience building internal tooling or infrastructure supporting AI applications. - Experience working with vector databases or AI data pipelines. - Experience working in fintech or B2B SaaS environments. Benefits - Build meaningful technology that helps people improve their financial lives. - Work on practical AI applications deployed in a live fintech product. - Collaborate in a remote-first environment with experienced product and engineering leaders. - Competitive compensation, benefits, and equity. Compensation - The estimated annual base salary range for this role is $160,000 to $195,000, depending on qualifications, experience, and location. - This role is also eligible for an annual performance bonus and equity participation. - Comprehensive benefits package.

• Build and run AI services in production on Azure: dependable, observable, and cost-aware. • Own the transcription pipeline that turns clinical conversations into usable structured data. • Deliver LLM-powered capabilities for documentation and data transformation, with safety controls appropriate for a clinical context. • Create a reusable “AI workflow layer” so product teams can plug in AI features without reinventing orchestration, permissions, and traceability. • Define platform interfaces (APIs/SDKs) that make adoption easy across the engineering org. • Lead while building: mentor engineers, review designs, and raise the quality bar (~30% leadership; ~70% hands-on).

Role Description A NiCE AI Transformation Strategist sits at the intersection of enterprise strategy and hands-on AI agent delivery. You will primarily engage at the VP and Director level — with CX, Operations, Technology, and Digital leaders — to define transformation priorities and drive execution, while maintaining the executive fluency to contribute credibly in C-suite conversations when required. This is not a narrowly specialized role. You are expected to move fluidly between strategic advisory and agent development, combining structured problem-solving, conversational design, and customer insight to drive transformation from the program office to the build environment. Core mandate: - Partner with VP and Director-level leaders across CX, Operations, and Technology to define and execute AI-first transformation programs. - Directly build the agentic experiences that make that transformation real, leveraging NiCE's full platform to automate service, augment the workforce, and deliver intelligent experiences at enterprise scale. How will you make an impact? - Strategic Advisory & Transformation Planning: - Engage primarily at the VP and Director level — across CX, Operations, Technology, and Digital functions — to define transformation priorities, align on approach, and drive program execution. - Build and maintain credibility with C-suite stakeholders when required, contributing to executive conversations with clarity and commercial rigor. - Define AI transformation roadmaps that connect agentic automation strategy to measurable business outcomes including cost efficiency, service quality, and operational scale. - Structure ambiguous business challenges into clear problem statements, workstreams, hypotheses, and recommendations that program owners can act on. - Facilitate alignment workshops, stakeholder interviews, and working sessions to gather input, challenge assumptions, and drive cross-functional agreement. - Develop business cases, transformation roadmaps, and senior-level materials that support high-stakes program decisions. - Contribute data-driven, strategic insights to customers and internal team decisions. - Contribute to NiCE's consulting IP, briefing materials, AI transformation playbooks, and vertical-specific accelerators. - Agent Development & Delivery: - Partner with Agent Product Managers and Agent Engineers to scope, build, and ship conversational AI agents that handle thousands of customer conversations a day. - Design, build, and iteratively refine conversational AI agents from inception through deployment, combining product strategy with deep customer insight. - Drive execution and delivery of multiple complex, high-visibility agent development projects with clear milestones, owners, dependencies, and success metrics. - Coordinate across technical and non-technical stakeholders through the full agent development lifecycle. - Translate strategic transformation goals into agent architecture decisions and conversational design choices. - Architect the shift from traditional interaction management to fully orchestrated, AI-agentic workflows spanning front and back office. - Change Enablement & Execution: - Design and execute change management programs focused on people, process, technology, and organizational structure at enterprise scale. - Lead cloud migration strategy from on-premises contact center environments to NiCE CXone, mapping routing logic, agent states, reporting, and terminology. - Identify risks, interdependencies, and barriers to execution and recommend actions to improve delivery and adoption. - Translate strategic goals into execution plans and ensure clear communication across all stakeholders while developing strong, lasting relationships. - AI strategy and agentic transformation: defining the enterprise vision for human-AI orchestration at scale. - Conversational AI agent development: scoping, designing, building, and iterating on AI agents across voice, digital, and async channels. - CX strategy and customer journey redesign from full automation of routine intent to complex end-to-end fulfillment. - Workforce augmentation: equipping employees with real-time AI intelligence to elevate performance and decision-making. - Cloud transformation and on-premises to CXone migration strategy and execution. - Operating model redesign, front and back office convergence, and workflow orchestration. - Interaction analytics and real-time intelligence deployment. - Compliance and financial crime transformation via NiCE Actimize for regulated industries. Qualifications - 5 to 10+ years in management consulting, transformation strategy, or enterprise technology advisory, with a proven track record of engaging and influencing at VP and Director level across CX, Operations, and Technology functions. - Demonstrated experience scoping, building, and shipping AI or conversational AI products, ideally in an agent development or product strategy capacity. - Demonstrable experience shaping AI or digital transformation programs at a senior program level, including building business cases that secure sponsorship and budget commitment. - Strong technical fluency: comfortable partnering with engineers and PMs on product architecture, conversational design, and agent development tradeoffs. - Deep familiarity with contact center ecosystems: ACD routing, IVR/IVA, workforce management, quality management, and omnichannel architecture. - Demonstrated experience leading cloud migration or digital transformation programs in a CCaaS, UCaaS, or enterprise SaaS context. - Outstanding verbal and written communication skills with the ability to convey complex technical information to non-technical stakeholders and drive projects forward with clarity. - Strong analytical and structured problem-solving skills to identify risks, develop mitigation strategies, and handle unexpected challenges across customer relationships and products. - Proficiency in change management frameworks (Prosci, ADKAR, or equivalent) and the ability to operationalize them at enterprise scale. - Comfortable balancing strategic thinking with hands-on execution support in fast-moving, high-expectation environment. Requirements - Degree in Computer Science, Engineering, Mathematics, or a related technical field; MBA or comparable experience at the intersection of technology and operations is a strong plus. - Experience at a leading strategy or transformation consulting firm, or equivalent in-house enterprise transformation experience. - Hands-on experience with NiCE CXone, NiCE Actimize, or comparable enterprise CCaaS/WEM platforms. - Working knowledge of agentic AI architectures, large language model deployment, conversational AI, NLU, and real-time guidance technologies. - Certification in change management (Prosci CCP), project management (PMP / PRINCE2), or cloud architecture. - Prior experience as a practitioner inside a contact center, CX operations, or digital transformation function, not solely in an advisory capacity. Benefits - Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! - As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. - If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!