Gen AI Technical Architect Best Infosystems Ltd

About Best Infosystems Ltd

Job Description

Gen AI Technical Architect_Full-Time_Hyderabad (Work from office)

Job Title: Gen AI Technical Architect
Job Type: Full-Time
Location: Hyderabad (Work from office)
Experience: 12-16 Years
Primary Skills: Gen Ai, Azure Open Ai, Python and which are mentions in cheat sheet

Job Description:
Gen AI Technical Architect:
*Generative AI Architect will play a pivotal role in designing, developing, and implementing advanced generative AI solutions that drive significant business impact for our clients.
*This role offers the exciting opportunity to work at the forefront of AI innovation, leveraging the power of AI.

Role Overview:

*The Generative AI Architect will be responsible for the end-to-end architecture, design, and deployment of scalable and robust generative AI systems.
*This includes conceptualizing solutions, selecting appropriate models and frameworks, overseeing development, and ensuring the successful integration of generative AI capabilities into existing and new platforms.
*You will work closely with business stakeholders to translate complex requirements into high-performance AI solutions.

Key Responsibilities:

*Architect and Design Generative AI Solutions: Lead the architectural design of generative AI systems, including model selection (LLMs), RAG and fine-tuning approaches.
*Azure AI Expertise: Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services.
*Python Development: Write clean, efficient, and maintainable Python code for data processing, automation, and API integrations.
*Model Optimization and Performance: Optimize generative AI models for performance, scalability, and cost-efficiency.
*Data Strategy: Design data architectures and pipelines to ingest, process, and prepare data for generative AI model training and inference, utilizing Azure data services.
*Integration and Deployment: Oversee the integration of generative AI models into existing enterprise systems and applications. Implement robust MLOps practices, CI/CD pipelines (e.g., Azure DevOps, GitHub, Jenkins), and containerization (Docker, Kubernetes) for seamless deployment.
*Technical Leadership & Mentorship: Provide technical leadership and guidance to development teams, fostering best practices in AI model development, deployment, and maintenance.
*Research and Innovation: Stay abreast of the latest advancements in generative AI technologies, research methodologies, and industry trends. Drive proof-of-concepts (PoCs) and pilot implementations for new AI capabilities.
*Collaboration and Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, software engineers, and business analysts, to ensure AI solutions align with business goals and deliver tangible value. Articulate complex technical concepts to non-technical stakeholders.

Required Skills and Qualifications:
*Minimum of 12-16 years of experience in IT, with at least 3+ years specifically focused on Gen AI architecture and development.

Technical Proficiency:
*Deep expertise in Azure Cloud Platform and its AI services
*Strong proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex).
*Solid understanding of large language models (LLMs), transformer architectures, diffusion models, and other generative AI techniques.
*Hands-on experience with prompt engineering, RAG pipelines, and vector databases (e.g., Pinecone, Weaviate, Chroma).
*Experience with MLOps, CI/CD, and deployment tools (Azure DevOps, GitHub, Kubernetes).
*Familiarity with RESTful API design and development.
*Architectural Principles: Strong understanding of cloud architecture, microservices architecture, and design patterns.
*Problem-Solving: Excellent analytical and problem-solving skills with the ability to think critically and creatively.
*Communication: Exceptional communication and interpersonal skills, with the ability to convey complex technical concepts clearly to both technical and non-technical audiences.
*Team Player: Ability to work collaboratively in a fast-paced, agile environment and lead projects with multiple stakeholders.

Desirable:
*Relevant Azure AI certifications
*Experience with other cloud platforms (AWS).
*Experience with fine-tuning LLMs for specific use cases.
*Contributions to open-source AI projects or publications in AI/ML.