AI Infrastructure

Ability to translate complex infrastructure and AI architecture concepts into clear business value narratives for executive and non-technical stakeholders

• Strong understanding of how infrastructure, cloud, data and AI investments drive growth, cost efficiency, risk reduction, and operational resilience
• Ability to articulate emerging trends, best practices, and strategic implications of AI infrastructure and hybrid cloud adoption across industries
• Infrastructure, Cloud and AI domain knowledge:
• Foundational understanding of enterprise infrastructure concepts, including compute, storage, networking, and hybrid / multi-cloud architectures
• Understanding of AI/ML lifecycle (training, fine-tuning, inference) and concepts such as tokens, RAG, LLMs, Vector Databases etc.
• Understanding of cost drivers in AI and infrastructure (e.g., compute, storage, token usage, cloud consumption models) and ability to support cost-benefit analysis and TCO evaluations
• Familiarity with AI/ML workloads, platforms, frameworks, ecosystems (e.g., PyTorch, TensorFlow, NVIDIA AI platforms) and their infrastructure implications
• Understanding of key compliance, security, and regulatory standards relevant to Infrastructure and AI environments (e.g., ISO 27001, NIST CSF)
• Architecture & Transformation Experience: Candidates are required to have at least one full project experience in either one or more of the following areas:
• AI or cloud infrastructure strategy, architecture, or large-scale transformation initiatives
• Design or assessment of AI/ML platforms, MLOps workflows, or AI-ready infrastructure environments
• Infrastructure modernization, cost optimization, or operating model transformation programs
• AI Economics and optimization
• Exposure to integrating compute, networking, and storage capabilities to support scalable AI or cloud workloads, with an emphasis on architectural decision-making rather than hands-on operations
• Experience supporting ecosystem-driven solutions and working with technology partners to shape solution options and recommendations
• Ability to support benchmarking, performance assessments, and business case development to inform infrastructure and AI investment decisions
• Experience defining target operating models (TOMs), roadmaps, governance frameworks, and process designs
• Exposure to security, governance, and compliance considerations across infrastructure and AI stacks
• Interest in contributing to internal knowledge development, POVs, or client thought leadership as part of broader practice growth
• Exposure to working with non-India Geographies (preferably the US) and / or interacting with Global stakeholders

Core Consulting Skills

• Clear and concise communication - conduct client interviews, participate in workshops/trainings and present recommendations
• Good client presence interact and build relationships with clients and other team members
• Analytical thinking - ability to perform detailed, quantitative analysis and research (primary and secondary). Synthesize and present insights and recommendations from data
• Logical structuring - structured approach to problem solving and ability to perform root cause analysis of client problems
• Deadline-oriented and quality focused - develop and own development of deliverables. Own and manage specific work-thread, develop plans for components of engagement, manage and mentor junior resources
• Collaboration - Be able to work both independently and as part of a team with professionals at all levels. Be able to prioritize tasks, manage change in scope, work on multiple assignments, and raise concerns/questions where appropriate
• Network - ability to chart one’s own career and build networks within the organization

Qualifications

• Bachelor’s degree in a relevant STEM Field (ex. Data Science, Computer Science, Engineering, Mathematics, Physics) from a premier school in India or abroad
• MBA, MS, M. Tech. from a premier school in India or abroad, with a background in Data Science, Computer Science, Engineering, Information Technology, etc.
• 4+ years (for Senior Consultants) of relevant experience in in roles involving technology strategy, enterprise architecture, digital transformation, or large-scale infrastructure and cloud initiatives