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Einfochips in India seeks an AI Architect to design and implement AI solutions across on-site locations in Ahmedabad, Pune, and Indore. The role emphasizes GenAI, ML, NLP, and computer vision to solve business challenges.
You will bridge business goals and technology, lead architecture design, and ensure secure, scalable deployments.
The ideal candidate has 10–15 years of experience, strong project leadership, and a track record in cloud-based AI platforms, with deep knowledge of Azure and GCP.
Role: AI Architect.
Location: Ahmedabad, Pune, Indore
Years of Experience: 10-15 years
Notice Period 0-45 Days (Preferred)
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.
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.
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 customers 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.
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.