AI Tech Lead

March 20

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Fulcrum Digital Inc

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Fulcrum Digital Inc. is a leading IT services and consultancy firm that specializes in AI-driven digital transformation. With over 25 years of experience, the company focuses on augmenting human capabilities through innovative technology solutions and tailored AI applications. They cater to various industries including financial services, insurance, eCommerce, and higher education, providing services such as digital acceleration, cloud engineering, and generative AI creative design.

Digital Transforation • Information Technology • Intelligent Automation • Robotic Process Automation • Intelligent Products & Services

1001 - 5000 employees

Founded 1999

🤖 Artificial Intelligence

🛍️ eCommerce

⚕️ Healthcare Insurance

📋 Description

• This is a remote position. • The AI Solution Architect is responsible for designing and overseeing the implementation of AI solutions that align with business objectives and technology strategies. • This role involves working closely with cross-functional teams, including data scientists, AI engineers, and business stakeholders, to ensure that AI technologies are integrated effectively and efficiently. • The AI Solution Architect will provide technical leadership, define architecture standards, and ensure that AI systems are scalable, secure, and maintainable. • Lead the design and architecture of AI solutions, ensuring alignment with business goals and technology strategies. • Develop end-to-end AI architectures that encompass data collection, model development, deployment, and integration with existing systems. • Collaborate with data scientists and engineers to define AI model requirements and ensure that they are incorporated into the overall architecture. • Provide technical guidance and mentorship to AI development teams, ensuring best practices in AI/ML model development, data engineering, and system integration. • Stay updated on the latest AI technologies, tools, and frameworks, and incorporate them into the architecture when appropriate. • Work closely with business stakeholders to understand their needs and translate them into AI-driven solutions. • Act as a liaison between business and technical teams, ensuring that AI solutions meet both functional and non-functional requirements. • Design AI architectures that are scalable, ensuring that AI solutions can handle large volumes of data and complex computations. • Ensure that AI solutions are designed with security in mind, incorporating best practices for data protection, privacy, and ethical AI usage. • Oversee the integration of AI solutions with existing systems, ensuring seamless interoperability and data flow. • Create detailed documentation for AI architectures, including design decisions, data flows, and system dependencies. • Evaluate the effectiveness of AI solutions post-deployment, identifying areas for improvement and optimization. • Drive innovation by exploring new AI use cases and potential applications within the organization.

🎯 Requirements

• Proven experience (7+ years) in software architecture and design, with at least 3 years focused on AI/ML solutions. • Strong background in AI/ML technologies, including experience with popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). • Experience in designing and deploying AI solutions in production environments, preferably in cloud-based infrastructures (e.g., AWS, Azure, Google Cloud). • Strong understanding of AI/ML lifecycle, including data preprocessing, model training, validation, deployment, and monitoring. • Proficiency in data engineering and architecture, with experience in ETL processes, data pipelines. • Solid knowledge of DevOps practices and tools, including CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and version control (e.g., Git). • Excellent problem-solving skills, with the ability to address complex technical challenges. • Strong communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders. • Experience in AI ethics and governance, with a strong understanding of bias detection, fairness, and transparency in AI systems. • Familiarity with natural language processing (NLP), computer vision, or reinforcement learning techniques. • Knowledge of Agile methodologies and experience working in Agile development environments.