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A highly skilled and motivated AI Architect for designing, developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. The AI Architect bridges the gap between business objectives and technology, ensuring that AI systems align with the organization's strategic goals.
Job Responsibility:
Define and design AI architecture, frameworks, and strategies to meet organizational needs
Evaluate and select AI tools, platforms, and frameworks to develop innovative solutions
Supervise or contribute to the development, training, and optimization of Large as well as small language models
Ensure seamless integration of AI solutions with existing business processes while ensuring that the solution complies with Arrow’s internal policies and guidelines
Design AI solutions that are scalable, secure, and maintainable over time
Stay updated on the latest advancements in AI and machine learning to propose innovative solutions
Strong understanding & knowledge about Microsoft Azure cloud and deploying PaaS & SaaS applications on Azure
Strong architecture background especially in AI Solutions and Cloud technologies
Collaborate with external vendors and partners to leverage their expertise and solutions
Define project scope, goals, and deliverables that align with business objectives
Develop detailed project plans, timelines, and milestones for AI development and deployment initiatives for the inhouse GenAI platform
Collaborate with business units for ROI determination and identify KPI’s for measuring ROI for each project
Manage day-to-day project activities to ensure successful execution and timely delivery
Anticipate potential risks and challenges in AI projects (e.g., data limitations, algorithm performance issues, regulatory concerns)
Proactively implement risk mitigation strategies and contingency plans
Ensure that AI projects comply with data privacy regulations, industry standards, and ethical guidelines
Promote responsible use of AI technologies across all projects
Act as the primary liaison between AI research teams, data scientists, engineers, product managers, and business stakeholders
Facilitate regular meetings and communications between business units and IT to discuss AI project progress, challenges, and opportunities
Plan and coordinate work between onsite and offshore AI teams
Foster collaboration among team members and remove obstacles to productivity
Requirements:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Minimum of 5 years of experience in AI projects, data science, or a related field
Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision)
Proficiency in programming languages like Python, .Net
Strong understanding of cloud technologies (Azure & GCP), APIs, and microservices
Proven experience in managing technical projects, preferably in AI, machine learning, or data-driven technologies
Knowledge of big data processing tools (e.g., Hadoop, Apache Spark)
Hands on experience with tools and platforms used in AI development (e.g., Azure AI Foundry, Ollama, DataBricks etc.)
Experience in architecting AI Solutions using on premise and Cloud technologies
Experience with agile methodologies and tools (e.g., Jira, Trello) for managing technical projects
Demonstrated ability to manage multiple projects simultaneously and prioritize effectively
Strong problem-solving, analytical, and communication skills
Knowledge of AI ethics and regulatory compliance frameworks
Proficiency with data engineering and cloud architecture principles