Job Description

Location: Chennai, Hyderabad, Bangalore, Noida

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Job Summary: As a Technical Architect, you will be responsible for designing and implementing robust, scalable, and high-performance AI and Generative AI solutions. You will work closely with cross-functional teams to ensure that our technical architecture aligns with business goals and industry best practices.

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Key Responsibilities:

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- Design and develop AI and Generative AI architecture solutions that meet business requirements.
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- Be hands-on in coding, prototyping, and testing solutions.
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- Collaborate with stakeholders to understand their needs and translate them into technical specifications.
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- Apply AI solutions across various industries and business functions
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- Help create solutions during RFP process
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- Develop versatile AI models that can be adapted for multiple use cases
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- Lead the technical design and development of AI/Gen AI-powered projects.
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- Integrate and enhance existing tools and systems to leverage AI/Gen AI capabilities
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- Develop and implement APIs for seamless integration with legacy and SaaS applications
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- Ensure compliance with industry standards and best practices during integration
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- Ensure the scalability, performance, and security of solutions.
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- Provide technical guidance and mentorship to development teams.
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- Conduct code reviews and ensure adherence to best practices and coding standards.
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- Stay updated with the latest industry trends and technologies.
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- Troubleshoot and resolve technical issues as they arise.
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- Document technical designs and processes.
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Qualifications:

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- Bachelor‘s or Master‘s degree in Computer Science, Engineering, or a related field.
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- Proven experience as a Technical Architect or similar role.
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- Strong knowledge of AI, Machine Learning, and Generative AI technologies.
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- Proficiency in one or more of following programming languages Java, C++, Python, R
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- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
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- Excellent problem-solving and analytical skills.
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- Strong communication and interpersonal skills.
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- Ability to work effectively in a collaborative team environment.
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- Solid domain understanding
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- Experience with microservices architecture.
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- Knowledge of DevOps practices and tools.
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Preferred Qualifications:

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- Certification in relevant technologies or frameworks.
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- Experience with Natural Language Processing (NLP) and Computer Vision.
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