Generative AI Architect

Naukri E Hire Campaign; Dadri, Pune District, Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Naukai E Hire Campaign is seeking a Generative AI Solution Architect to lead GenAI initiatives in our India team. You will design architectures, oversee model deployment, and guide cross-functional groups across NLP, vector databases, and LLM workflows.

The role requires 15+ years in IT and 2+ years in GenAI, with hands-on Python (Flask/FastAPI), cloud tech, and secure API management. You will mentor engineers, develop PoCs, respond to RFPs, and translate business needs into scalable,

Qualifications

• 15+ years of hands-on experience in IT
• 2+ years in Generative AI
• Experience building GenAI solutions with NLP, transformers, and vector databases
• Strong architectural and leadership abilities
• Experience with microservices, serverless, and containerization
• Cloud platforms and security practices (OAuth, IAM)
• Proven ability to translate business requirements into scalable AI solutions

Responsibilities

• Lead solution design of generative AI projects
• Provide technical guidance and code reviews
• Develop PoCs and participate in RFP/RFI responses
• Deliver architecture decisions and stakeholder communication
• Oversee deployment of AI models to production
• Collaborate with cross-functional teams to translate requirements into tech solutions
• Experiment with new GenAI techniques to enhance products
• Mentor team and drive continuous learning

Skills

AI/ML frameworks

Langchain

Langgraph

Agentic frameworks

OAuth & API security

Docker

Kubernetes

Python

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Flask

FastAPI

SQL

Python

Azure AI Search

Vector databases

Job description

Job Title: Generative AI Solution Architect

Job Description:

We are seeking a highly skilled and innovative Generative AI Solution Architect to join our dynamic team. The ideal candidate will have overall 15+ years of hands-on experience in IT Industry and 2+ years of the field of Generative AI, with a proven track record of developing and implementing cutting-edge AI solutions. This role requires a creative thinker who can leverage new technologies and ideas to drive innovation.

Key Responsibilities:

• Lead the Solutioning architecture and Design of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM and vector databases to drive innovation and business impact.
• Technical Guidance & Leadership: Provide mentorship, conduct code reviews, and collaborate with cross-functional teams.
• Proposal, Estimation & Demos: Lead proposal creation, develop PoCs, and participate in RFP/RFI responses.
• Presentation & Communication: Deliver presentations, document architecture decisions, and engage with stakeholders.
• Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Innovate and experiment with new Gen AI technologies to enhance our product offerings.
• Oversee the design and optimization of gen-AI algorithms, models, and frameworks, ensuring robustness, efficiency, and accuracy
• Experiment with cutting-edge techniques and stay abreast of advancements in the field of generative AI.
• Communicate effectively with clients and internal teams to ensure project alignment and success.
• Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization.
• Take ownership of tasks and projects, ensuring timely and high-quality delivery.
• Maintain a positive attitude and contribute to a collaborative team environment.
• Lead technical discussions and guide development teams in implementing solutions using Python, Flask,FastAPI, SQL, and JavaScript.
• Ensure adherence to architectural best practices and standards.
• Work on deploying AI models into production environments and ensure scalability and reliability.
• Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies.
• Cultivate a collaborative and inclusive work environment, promoting knowledge sharing and cross-team collaboration to achieve AI excellence

Required Skills and Qualifications:

• Strong hands-on experience with AI/ML frameworks and tools (e.g., Langchain, Langgraph).
• Must have experience working with any agentic framework.
• Deep understanding of security, authentication (OAuth, SSO, IAM), and API management.
• Experience with microservices, serverless computing, containerization (Docker, Kubernetes).
• Experience with Azure AI Search or vector databases.
• Knowledge of Retrieval-Augmented Generation (RAG) concepts and processes.
• Proven ability to think creatively and implement innovative solutions.
• Excellent communication skills, both verbal and written.
• Ability to work effectively with clients and internal teams.
• Strong problem-solving skills and attention to detail.
• Positive attitude and a proactive approach to work.
• Good knowledge of cloud platforms and related technologies (e.g., AWS, Azure, Google Cloud).
• Extensive experience in developing and deploying Python applications.
• Strong understanding of object-oriented programming (OOP) concepts.
• Ability to write modular and maintainable code using Python.

Preferred Qualifications:

• Minimum of a Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience with natural language processing (NLP) and computer vision technologies.
• It would be an added advantage if the candidate holds certifications in cloud technologies and Generative AI.

Behavioural Skills:

• Exceptional leadership and communication skills, with the ability to inspire and influence teams.
• Strong analytical and problem-solving abilities, coupled with a strategic mindset for AI implementation.
• Demonstrated thought leadership in AI, evidenced by publications, patents, or industry recognition.