Role Description BlackStone eIT is seeking an experienced and visionary AI Team Lead to oversee and guide our artificial intelligence initiatives. As the AI Team Lead, you will be responsible for leading a team of AI engineers and data scientists to develop innovative AI solutions that drive business growth and enhance user experiences. You will collaborate with cross-functional stakeholders to design and implement cutting-edge AI technologies and ensure successful project delivery. - Lead, mentor, and manage a team of AI engineers and data scientists. - Design and develop scalable AI models and algorithms tailored to business needs. - Collaborate with product managers, software developers, and business stakeholders to define AI project requirements. - Ensure rigorous testing, validation, and deployment of AI solutions. - Stay current with the latest advancements in AI, machine learning, and data science technologies. - Establish best practices and standards for AI development within the team. - Identify opportunities for AI integration to improve products and services. Qualifications - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. - At least 8 years of experience in AI, machine learning, or data science roles. - Proven leadership experience managing technical teams. - Strong proficiency in programming languages such as Python, R, or Java. - Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. - Solid understanding of data processing, feature engineering, and statistical modeling. - Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployment. - Excellent problem-solving, analytical, and communication skills. - Ability to translate complex AI concepts into actionable business solutions. Benefits - Paid Time Off - Performance Bonus - Training & Development

• Design, build, test, and maintain modern software applications across backend and frontend systems. • Develop scalable backend services, APIs, and integrations that support high-performance applications. • Build modern frontend experiences using frameworks such as React, NextJS, or similar technologies. • Write clean, maintainable, and well-tested code following modern engineering practices. • Work across multiple programming languages and ecosystems depending on project needs. • Participate actively in architecture discussions, code reviews, and technical design sessions. • Utilize modern development tools and AI-assisted engineering workflows to improve productivity and code quality. • Integrate AI-enabled capabilities into applications when appropriate, such as LLM-powered features or automation workflows. • Experiment with emerging technologies such as LangChain, Model Context Protocol (MCP), or similar frameworks. • Collaborate with teammates to evaluate where AI technologies can improve product capabilities or engineering processes. • Apply pragmatic engineering judgment when adopting new tools and technologies. • Partner closely with Product Managers and Product Owners to refine backlogs and clarify requirements. • Break down complex work into well-scoped, estimable user stories and technical tasks. • Provide reliable estimates and contribute to sprint and release planning. • Participate in sprint planning, stand-ups, and retrospectives. • Contribute to a culture of transparency, collaboration, and continuous improvement. • Support delivery of high-quality software within Agile development environments. • Work directly with client stakeholders as part of delivery teams. • Participate in technical discussions, demos, and solution walkthroughs. • Communicate clearly about tradeoffs, risks, and implementation approaches. • Contribute to building strong client relationships through high-quality engineering work.

• Design, build, test, and maintain modern software applications across backend and frontend systems. • Develop scalable backend services, APIs, and integrations that support high-performance applications. • Build modern frontend experiences using frameworks such as React, NextJS, or similar technologies. • Write clean, maintainable, and well-tested code following modern engineering practices. • Work across multiple programming languages and ecosystems depending on project needs. • Participate actively in architecture discussions, code reviews, and technical design sessions. • Leverage modern development tooling, including AI-assisted coding and engineering workflows, to improve productivity and quality. • Integrate AI-enabled capabilities into development workflows when appropriate, such as adoption of agent tools or automated documentation. • Experiment with emerging technologies to improve the software development lifecycle. • Help teams evaluate where AI capabilities can enhance software systems or development workflows. • Partner closely with Product Managers and Product Owners to refine backlogs and clarify requirements. • Break down complex work into well-scoped, estimable user stories and technical tasks. • Provide reliable estimates and contribute to sprint and release planning. • Inspect and adapt through retrospectives, continuously improving team delivery and engineering practices. • Serve as a technical leader on delivery teams, helping guide architecture and implementation decisions. • Collaborate closely with Product Managers and Designers to translate requirements into technical solutions. • Help estimate work, identify risks, and contribute to delivery planning and execution. • Support technical discovery and feasibility assessments during early phases of engagements. • Work directly with client stakeholders to understand technical requirements and constraints. • Participate in technical discussions, demos, and solution walkthroughs. • Communicate clearly about tradeoffs, risks, and implementation approaches. • Promote engineering standards around quality, testing, security, and performance. • Leverage modern tooling, automation, and AI-assisted development to improve productivity and quality. • Contribute to internal engineering patterns, documentation, and shared components. • Stay current with modern full-stack and cloud-native best practices.

• Provide clinical expertise and oversight to agent development and deployment • Understand our client’s clinical workflows to ensure our agents bring tangible value to patients and our clients • Ensure each deployment is clinically appropriate and safe • Educate and inform clients on AI-first approaches to clinical care delivery