Data Architect - Gen AI

eInfochips (An Arrow Company); Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

eInfochips (An Arrow Company) seeks a highly skilled AI Architect to design, develop, and implement AI solutions using GenAI, ML, NLP, and CV. You will bridge business goals with technology, ensuring AI systems align with strategic objectives and compliance standards.

The role requires 5+ years of AI experience, strong cloud expertise (Azure/GCP), and hands-on leadership in scalable, secure AI deployments across on-prem and cloud environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Advanced degree preferred.

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 customer 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.

Skills

GenAI technologies

Machine Learning

NLP

Computer Vision

Python

.NET

Azure & GCP

APIs & microservices

Big data

Jira / Trello

Data engineering

Cloud architecture

AI ethics

Education

Bachelor or Master in CS/AI/Data Science

Advanced degree preferred

Tools

Azure AI Foundry

Ollama

DataBricks

Hadoop

Apache Spark

Jira

Trello

Job description

Looking for immediate joiners or candidates with a notice period of up to 30 days.

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 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 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 customer 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.