Ai architect

We are currently hiring for AI Architect in Bangalore Location.
Experience: 5+ yrs into AI/ML
Role: AI Architect
Work Location: Bangalore (Manyata Tech park)
Notice period: upto 90 Days
Shifts: 2.00pm to 11.00pm IST
Salary: Case to Case Basis
Job Description:
Position Summary:
We are looking for a highly skilled AI Architect with extensive experience in the Microsoft Azure ecosystem to lead the design, development, and implementation of AI-driven solutions for internal use and potential partner or customer applications. This role involves architecting scalable, secure, and high-performance AI solutions using Azure's advanced AI/ML tools, and contributing to the overall AI strategy of the organization. You will work closely with internal stakeholders across departments, lead innovation initiatives, and drive AI/ML projects from conceptualization to deployment.
Key Responsibilities:
Technical & Engineering Leadership
Serve as the technical authority for designing and architecting AI solutions within the Microsoft Azure ecosystem. Ensure that AI architectures across D ata Center, and Cloud environments meet enterprise security, performance, and scalability standards.
Lead the end-to-end architecture and development of internal AI projects , leveraging Azure AI services , including Azure Machine Learning , Cognitive Services , Azure Synapse , and Azure Kubernetes Service (AKS).
Ensure the integration of AI solutions into the company’s existing infrastructure to optimize business processes and improve overall operational efficiency.
Stay hands-on with the latest AI innovations and leverage platforms such as Azure Open AI , Azure Bot Service , and Custom Vision to implement practical and cutting-edge AI models.
Ensure AI solutions adhere to enterprise governance , compliance , and security standards , particularly in the Azure cloud environment.
AI Solution Development
Architect and develop AI-driven solutions for internal departments, including Sales, Finance, Procurement, Operations , etc., to automate processes, derive insights, and improve business decision-making.
Collaborate with internal stakeholders to understand their requirements and define AI use cases that align with business objectives , providing solutions that enhance efficiency and scalability.
Drive the integration of AI and machine learning models into the organization's digital products and platforms using Azure AI/ML tools.
Prototype and develop internal AI proof-of-concept (Po C) solutions to demonstrate business value and later scale them using Azure Machine Learning for production deployment.
Lead experimentation and deployment of Generative AI models (e.g., Azure GPT, BERT ), ensuring they meet business and technical needs.
Innovation & Continuous Improvement
Spearhead AI innovation initiatives internally to keep the organization at the cutting edge of AI technology, leveraging Azure AI services and Microsoft AI advancements.
Identify opportunities for internal process optimization using AI and automation , proposing solutions that reduce manual effort and streamline workflows across departments.
Champion a culture of continuous improvement by driving experimentation with new AI models and Azure AI tools to improve solution robustness, performance, and accuracy.
Collaboration & Cross-functional Leadership
Collaborate with project managers , developers , and business leaders to ensure that AI solutions are built with a clear understanding of both business needs and technical constraints.
Work alongside data scientists, software engineers, and Dev Ops teams to implement machine learning models and ensure seamless integration with Azure cloud infrastructure.
Provide mentorship and guidance to engineering teams and technical staff, fostering an environment of innovation and technical excellence.
Scalability & Deployment
Lead efforts to scale AI models from development to full deployment, ensuring they are robust, secure, and able to handle real-world workloads in Azure.
Optimize AI/ML solutions for both internal use cases and potential external deployment , ensuring they can be easily adapted for use by partners or customers when necessary.
Oversee the deployment of AI models into production environments using Azure Dev Ops and CI/CD pipelines , ensuring seamless updates and enhancements to AI systems.
Required Skills:
10+ years of experience in software engineering and AI architecture design , with at least 5 years of experience focused on AI/ML in the Microsoft Azure ecosystem (or AWS/Google Cloud).
Proficiency with Azure Machine Learning , Azure Cognitive Services , Azure Synapse , AKS , and other Azure-based AI tools or equivalent tools in AWS (Sage Maker, Lambda) and Google Cloud (Vertex AI, AI Platform).
Strong expertise in machine learning frameworks such as Py Torch , Tensor Flow , and hands-on experience with Generative AI models (e.g., GPT, BERT, DALL-E ).
Advanced knowledge of Azure Dev Ops and Git Hub Actions or AWS Code Pipeline, or Google Cloud Build for CI/CD automation, ensuring smooth deployments of AI solutions.
Proven track record of building and deploying AI models in large-scale production environments within Azure, AWS, or Google Cloud.
Experience with data engineering , data preprocessing , and feature engineering , ensuring AI models have access to clean and structured data.
Strong knowledge of AI governance , ethical AI practices , and bias mitigation techniques in production environments.
Proficiency in programming languages such as Python , Java , or Go for AI/ML development and system integration.
Excellent communication skills to collaborate effectively with internal teams and external partners.
Desired Skills:
Certifications in AI/ML or Azure (e.g., Microsoft Certified: Azure AI Engineer Associate , AWS Certified Machine Learning, Google Professional Machine Learning Engineer).
Experience in Azure AI governance , monitoring AI performance , and managing AI model lifecycles.
Experience with AI-based automation for internal processes like sales optimization , procurement , and operations.
Knowledge of Responsible AI frameworks and Azure's Responsible AI tools or equivalent in AWS or Google Cloud.
What We Offer:
Opportunity to lead the AI strategy and drive innovative AI/ML solutions for internal business optimization and external customer solutions.
Work with cutting-edge AI tools in the Microsoft Azure ecosystem , and continuously innovate with the latest AI models.
Collaborative work environment with opportunities to mentor technical teams and drive cross-functional initiatives.
Competitive compensation and benefits, including opportunities for growth and learning within a leading organization.
Black Box is a leading technology solutions provider. Our mission is to accelerate our customers’ business by valuing relationships with our team members, clients and stakeholders. By continuously growing our knowledge, we remain relevant in the market and are in a superior position to help customers design, deploy and manage their IT infrastructure. Through our values, such as innovation, ownership, transparency, respect and open-mindedness, we deliver high-value products and services through our global presence and 2,500+ team members in 24 countries and growing. Black Box is a wholly-owned subsidiary of AGC Networks.
Black Box is an equal opportunity employer. Black Box does not discriminate against individuals on the basis of race, color, marital status, sex, sexual orientation, gender identity, religion, national origin, age, disability, veteran status, genetic information, or any other protected status, and endorses those policies and practices which seek to recruit, hire, train and promote the most qualified persons into available jobs.
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