Director - Solution Architect (Gen AI)

14 - 24 years

25 - 35 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

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Job Description

Designation - Director

Role - Solution Architect (GEN AI)

Senior AI Solutions Architect (Gen AI & Agentic Solutions)

We're seeking a highly experienced AI professional to lead the design and development of cutting-edge AI solutions, focusing on Generative AI and Agentic Systems. The ideal candidate will have a strong technical background, excellent problem-solving skills, and experience in building and deploying AI solutions at scale. Should have a passion building innovative AI solutions and leading technical teams in the IT and BPM world.

Key Responsibilities:

- Design and architect AI solutions using Generative AI and Agentic Systems, ensuring scalability, reliability, and performance

- Lead cross-functional teams to develop and deploy AI-powered products and services

- Collaborate with stakeholders to identify business problems and develop AI-driven solutions

- Develop and maintain technical roadmaps for AI solutions, ensuring alignment with business objectives

- Develop frameworks, business cases to achieve high ROI as per business needs

- Evaluate and integrate new AI technologies and tools to stay ahead of the curve

- Ensure AI solutions meet ethical and regulatory standards

- Mentor junior team members and contribute to the growth of the AI community

Requirements:

- 10+ years of experience in building AI solutions, with a focus on Generative AI and Agentic Systems

- Strong expertise in AI frameworks and tools (e.g., TensorFlow, PyTorch, LangChain)

- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)

- Excellent programming skills (e.g., Python, Java, C++)

- Strong understanding of software development lifecycle and Agile methodologies

- Excellent problem-solving and communication skills

Good to have

- Ph.D. or Master's degree in Computer Science, AI, or related fields

- Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes)

- Knowledge of MLOps and CI/CD pipelines

- Experience with large language models and multimodal AI systems

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