Looking for an Architect with solid experience in AI and Data Engineering, preferably with hands-on experience in Generative AI (GenAI) with experience in any cloud platform (AWS, Azure, or GCP) will be considered.

Relevant experience in the following areas are Mandatory AI/GenAI experience, Data Engineering and as an Architect
Position: Solution Archietct- Data & AI(Full time)
Experience: 10+ Years
Location: Bangalore(Hybrid)
Notice Period: Immediate joiners and candidates currently serving their notice period.
Communication Skills: Excellent verbal and written communication skills are mandatory.

Key Skills to Succeed in This Role :
Mastery of Python and systems design, with a track record of architecting production systems that others build on.
Broad and deep data + cloud architecture across AWS and Azure: multi-store data design, distributed systems, streaming, security, and cost.

Driving Innovation, Empowering Insights
Hands-on Azure Databricks architecture experience in production: Unity Catalog, Delta Lake,



cluster policy design, job orchestration, and Terraform provisioning.
Supply chain and inventory operations domain depth: understanding of demand planning processes,

MRP logic, inventory parameters and how planning decisions translate into data requirements -

sufficient to engage credibly with supply chain stakeholders without hand-holding.
Robust opinions, loosely held, grounded in first principles - can derive the tradeoff rather than cite the trend, with deep skepticism of unnecessary abstraction.
Proven ability to build LLM/agentic systems from primitives and to evaluate them rigorously

(reproducibility, calibration, cost).
Influence without authority: sets standards, writes the specs and docs others follow, and elevates the whole team.
Experience translating technical work into client-facing strategy; pharma/regulated experience strongly valued.

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