Ability to translate complex infrastructure and AI architecture concepts into explicit 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

📌 AI Infrastructure (Bengaluru)
🏢 Think People Solutions
📍 Bengaluru