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.
- Strong 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.