Gen AI Architect

Job Description:

A highly skilled and motivatedAI 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 organizations strategic goals.

What were looking for:

Education: Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or a related field. Advanced degree preferred.

Experience: Minimum of 5 years of experience in AI projects data science or a related field.

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 or .Net

Strong understanding of cloud technologies (Azure & GCP) APIs and microservices.

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.).

Proven experience in managing technical projects preferably in AI machine learning or data-driven technologies.

Experience in architecting AI Solutions using on premise and Cloud technologies.

Demonstrated ability to manage multiple projects simultaneously and prioritize effectively.

Experience with agile methodologies and tools (e.g. Jira Trello) for managing technical projects.

Knowledge of AI ethics and regulatory compliance frameworks.

Strong problem-solving analytical and communication skills.

Proficiency with data engineering and cloud architecture principles.

What youll be doing:

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 Arrows 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.

Project Planning and Execution

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 KPIs 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.

Team Collaboration and Coordination

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.