AI Architect

Hi,

India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence.

Location: Open for PAN India

Exp: 5-15 years

Job Skills:

• Solution Architecture: The candidate must have a strong understanding of designing, integrating, and managing complex AI and enterprise infrastructure solutions.
• LangChain: Proficiency in LangChain is essential. The candidate should be capable of developing and implementing AI and GenAI solutions using the framework.
• REST APIs: The candidate should have a solid understanding of REST APIs, including their design, development, integration, and management.
• Python: Knowledge of Python, a popular language for AI and ML, is beneficial.
• TensorFlow: Experience with TensorFlow, an open-source platform for machine learning, is a plus.
• Cloud Platforms: Familiarity with cloud platforms like AWS, Google Cloud, or Azure is advantageous.
• Data Analysis: Skills in data analysis can help in understanding and interpreting AI/ML data.
• Machine Learning Algorithms: Understanding various machine learning algorithms is beneficial.
• Deep Learning: Knowledge of deep learning methodologies can be a plus.
• Natural Language Processing: Experience with NLP can be beneficial for certain AI/ML projects.
• SQL: Knowledge of SQL for database management can be a plus.
• Project Management: Skills in project management can help in overseeing AI/ML projects from inception to completion.

Job Responsibilities:

• Define and communicate the strategy for large-scale AI, GenAI, and Agentic AI implementations, ensuring alignment across delivery teams.
• Lead the development and deployment of AI/ML and GenAI solutions using LangChain and related frameworks.
• Design and automate CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tools.
• Collaborate with business stakeholders to define scope, features, standards, and best practices.
• Evaluate architectural alternatives and provide guidance on trade-offs, risks, and benefits.
• Define technology capabilities required for scalable data science and data platform initiatives.
• Provide technical leadership and strategic direction for AI, GenAI, and Agentic AI solutions.
• Mentor team members, guide technical decisions, and ensure solutions deliver measurable business value.
• Promote AI governance, best practices, standards, and data management principles.
• Assess data architecture and integration approaches to identify optimization opportunities.
• Lead the design and deployment of cost-effective multi-cloud AI solutions across engagements and programs.

anamika.gupt@edgeindia.com