AI & Data Solution Architect

We are seeking an experienced AI & Data Solution Architect to lead the design, development, and implementation of enterprise-scale artificial intelligence, machine learning, data analytics, and cloud-based data solutions. This role will serve as a strategic technical leader responsible for translating business requirements into scalable AI and data architectures that drive innovation, operational efficiency, and business growth.

The ideal candidate will possess deep expertise in AI technologies, machine learning frameworks, cloud platforms, data engineering, data governance, and enterprise architecture. The AI & Data Solution Architect will collaborate with business stakeholders, engineering teams, data scientists, and executive leadership to deliver secure, scalable, and high-performing solutions that support organizational objectives.

Design and architect end-to-end AI, machine learning, advanced analytics, and enterprise data solutions aligned with business goals and technology strategies. Lead the development of scalable data architectures, data pipelines, data lakes, data warehouses, and AI platforms capable of supporting large-scale business operations and advanced analytical workloads.

Partner with business leaders and technical teams to gather requirements, define solution roadmaps, and establish architectural standards. Evaluate emerging AI technologies, machine learning tools, and data platforms to identify opportunities for innovation and competitive advantage. Develop technical architectures for predictive analytics, generative AI, natural language processing, computer vision, recommendation systems, and intelligent automation solutions.

Provide architectural leadership for cloud environments including AWS, Azure, and Google Cloud Platform. Ensure data security, governance, privacy, compliance, and regulatory requirements are incorporated into all solution designs. Guide development teams through implementation while ensuring adherence to architectural best practices and enterprise standards.

Support data governance initiatives, master data management, metadata management, and data quality programs. Create architecture documentation, technical specifications, solution diagrams, and executive presentations. Mentor engineers, data scientists, and technical teams while promoting innovation and continuous improvement.

Bachelor's degree in Computer Science, Information Technology, Data Science, Software Engineering, Artificial Intelligence, or a related field. Minimum of 7 years of experience in solution architecture, data architecture, cloud architecture, AI engineering, machine learning, or enterprise technology environments, including at least 3 years of experience designing AI and data solutions.

Strong expertise in machine learning, artificial intelligence, data engineering, cloud computing, and enterprise architecture principles. Experience designing and implementing large-scale data platforms, analytics environments, and AI-powered applications. Proficiency with cloud technologies, data integration frameworks, API architecture, microservices, and distributed systems.

Hands-on experience with Python, SQL, Spark, Databricks, Snowflake, TensorFlow, PyTorch, Azure AI Services, AWS AI Services, or similar technologies. Strong understanding of data governance, cybersecurity principles, and regulatory compliance requirements. Excellent analytical, communication, leadership, and stakeholder management skills.

Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, or a related field. Professional certifications in AWS, Microsoft Azure, Google Cloud, Databricks, Snowflake, or enterprise architecture frameworks. Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, AI governance frameworks, and enterprise AI deployment strategies.

Experience leading enterprise digital transformation initiatives and managing complex technology modernization programs. Familiarity with healthcare, financial services, manufacturing, retail, or government industry environments is highly desirable.