Asks for

The ad says“Proficiency in programming languages like Python, .Net”
The ad says“Experience with agile methodologies and tools (e.g., Jira, Trello) for managing technical projects.”
The ad says“Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).”
The ad says“Knowledge of AI ethics and regulatory compliance frameworks.”
The ad says“Knowledge of big data processing tools (e.g., Hadoop, Apache Spark).”
The ad says“Strong understanding of cloud technologies (Azure & GCP), APIs, and microservices.”
The ad says“Strong understanding of cloud technologies (Azure & GCP), APIs, and microservices.”
The ad says“Hands on experience with tools and platforms used in AI development (e.g., Azure AI Foundry, Ollama, DataBricks etc.).”
The ad says“Proficiency with data engineering and cloud architecture principles.”
The ad says“Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).”
The ad says“Proficiency with data engineering and cloud architecture principles.”
The ad says“Hands on experience with tools and platforms used in AI development (e.g., Azure AI Foundry, Ollama, DataBricks etc.).”
The ad says“Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).”
The ad says“Strong understanding of cloud technologies (Azure & GCP), APIs, and microservices.”
The ad says“Knowledge of big data processing tools (e.g., Hadoop, Apache Spark).”
The ad says“Experience with agile methodologies and tools (e.g., Jira, Trello) for managing technical projects.”
The ad says“Supervise or contribute to the development, training, and optimization of Large as well as small language models.”
The ad says“Strong understanding of cloud technologies (Azure & GCP), APIs, and microservices.”
The ad says“Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).”
The ad says“Hands on experience with tools and platforms used in AI development (e.g., Azure AI Foundry, Ollama, DataBricks etc.).”
The ad says“Strong understanding & knowledge about Microsoft Azure cloud and deploying PaaS & SaaS applications on Azure”
The ad says“Proficiency in programming languages like Python, .Net”
The ad says“Knowledge of AI ethics and regulatory compliance frameworks.”
The ad says“Strong understanding & knowledge about Microsoft Azure cloud and deploying PaaS & SaaS applications on Azure”
The ad says“Supervise or contribute to the development, training, and optimization of Large as well as small language models.”
The ad says“Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).”
The ad says“Experience with agile methodologies and tools (e.g., Jira, Trello) for managing technical projects.”

Position:

AI Architect

Job Description:

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.

What we're looking for:

Education: Bachelor’s or Master’s 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, .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.

What you'll 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 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.

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 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.

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.

About Arrow:

Arrow Electronics, Inc. (NYSE: ARW), an award-winning Fortune 148 and one of Fortune Magazine’s Most Admired Companies. Arrow guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2025 sales of USD $30.9 billion, Arrow develops technology solutions that improve business and daily life. Our broad portfolio that spans the entire technology landscape helps customers create, make and manage forward-thinking products that make the benefits of technology accessible to as many people as possible. Learn more at www.arrow.com.

Our strategic direction of guiding innovation forward is expressed as Five Years Out, a way of thinking about the tangible future to bridge the gap between what's possible and the practical technologies to make it happen. Learn more at https://www.fiveyearsout.com/.

Location:

IN-KA-Bangalore, India (SKAV Seethalakshmi) GESC

Time Type:

Full time

Job Category:

Information Technology