Artificial Intelligence Architect

Sdna Global; Bengaluru, Mumbai, Gurugram District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Sdna Global seeks a senior AI/data consulting professional to shape data products, define enterprise data models, and develop AI-ready data foundations. The role requires experience with knowledge graphs, prompt engineering, and RAG, plus hands-on cloud and data platform skills.

You will collaborate with senior stakeholders across functions to define roadmaps, assess AI platforms, and realize business value through structured problem-solving and program management.

Qualifications

• Min. 5 yrs overall, incl. AI & data projects.
• High-value consulting or relevant industry/functional experience.
• Engages senior stakeholders.
• Structured problem-solving; program management.
• Strong communication.
• Bachelor's degree (relevant discipline); MBA preferred.

Responsibilities

• Experience defining data products, enterprise data models, and AI-ready data foundations.
• Exposure to knowledge graphs, knowledge layers, prompt engineering, and Retrieval-Augmented Generation (RAG).
• Experience developing AI capability roadmaps, AI platform assessments, and value realization plans.
• Strong consulting, problem-solving, stakeholder communication, and presentation skills with experience working in cross-functional teams.

Skills

Stakeholder engagement

Communication

Problem solving

Program management

AI/data strategy

Education

Bachelor's degree in relevant discipline

MBA preferred

Tools

AWS/Azure/Google Cloud

Databricks

Snowflake

Foundation models (OpenAI/Anthropic)

Job description

Role & responsibilities

• Min. 5 yrs overall, incl. AI & data projects
• High-value consulting or relevant industry/functional experience
• Engages senior stakeholders
• Structured problem-solving; program management
• Strong communication
• Qualifications & Certifications
• Bachelor's degree (relevant discipline); MBA preferred

Preferred candidate profile

Experience defining data products, enterprise data models, and AI-ready data foundations.

Exposure to knowledge graphs, knowledge layers, prompt engineering, and Retrieval-Augmented Generation (RAG).

Experience developing AI capability roadmaps, AI platform assessments, and value realization plans.

Strong consulting, problem-solving, stakeholder communication, and presentation skills with experience working in cross-functional teams.

Tech fluency

Hands-on depth in at least one platform (AWS, Azure, Google Cloud), data platforms (Databricks, Snowflake), or foundation models (e.g., Anthropic, OpenAI), plus conversant across the categories. Can weigh trade-offs (fit, cost, risk) within an engagement.

Industry Lens

Working knowledge of one priority industry's processes and value drivers; applies it to use-case and roadmap work..