Overview

Position: AI Architect

Responsibilities

• 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.

Qualifications

• Skills:
• 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.).
• 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.