Overview

Function: Consulting

Responsibilities

• Design and implement AI/Gen AI applications, systems, and infrastructure across major clouds (Azure, AWS and GCP)
• Collaborate with data engineers & data scientists in designing data pipelines & AI/ML models.
• Collaborate with clients & stakeholders to translate business and functional requirements into robust, scalable, operable solutions.
• Participate in architectural decisions, contribute to the development of architectures for industry-wide use cases, and design architectures for AI/ML and Generative AI
• Set the standards for engineering best practices.
• Identify opportunities where generative AI can provide value and solve business problems.
• Responsible for creating POCs and POVs across horizontals and industry use cases.
• Write high-quality, efficient, testable code in Python and other languages.
• Stay up to date with the latest AI trends and evaluate state-of-the-art AI technologies/framework to drive innovation.
• Facilitate design and architecture workshops and mentor AI engineers in coding best practices and problem-solving.
• A minimum of 15 years of professional experience and around 5-8 years in building and deploying AI solutions on-premises or on cloud platforms.
• Manage end to end project delivery- scoping, solutioning, designing, developing, testing, deploying or maintaining.
• Ensuring the solutions meet the client requirements and expectations.
• Communicate effectively with the clients and internal stakeholders throughout the project.
• Identify new opportunities and generate proposals for potential clients.
• Present the solutions and showcase the value proposition to senior stakeholders.
• Be at the forefront of AI-driven innovation across multiple client sectors.
• Work with global clients to drive real business impact.
• Collaborate with a team of AI experts, analytics leaders, and industry specialists in a highly entrepreneurial environment.

Education

• The opportunity
• We are seeking an experienced AI Architect with over 15 years of professional experience. He needs to be passionate about D&A and technology. With a deep understanding of data processing, data structure, algorithms, and machine learning. AI Architect will develop and implement the company's AI capabilities and solutions.
• Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
• Experience in providing the MLOps, LLMOps and AgentOps Architecture design
• Experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS and/or Google Cloud.
• Experience in using and orchestration LLM models on cloud platforms i.e., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI
• Experience in writing SQL and data modelling.
• Experience in designing and implementation of AI solution using microservice based architecture.
• Understanding of machine learning, deep learning, NLP and GenAI.
• Strong programming skills in Python and/or pyspark.
• Proven experience in integrating authentication security measures within machine learning operations and applications.
• Proven experience in AI/ML solution deployment process on Kubernetes, Web Apps, Databricks or on similar platforms.
• Familiarity with MLOps/ LLMOps and Agent Ops concepts and tech stack. Experience in code versioning, MLFlow, batch prediction and real-time end point workflows.
• Familiarity with Azure DevOps / GitHub actions/ Jenkins / Terraform / AWS CFT etc.
• Experience with responsible AI concepts
• strong Background in Azure Based AI and Data technologies is a must.
• Knowledge of other Hyperscalars will be additional Advantage
• Excellent problem-solving skills and ability to connect AI capabilities to business value.
• Strong communication and presentation skills.

Benefits

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.