AI Architect

MResult Corp; Bengaluru; On-site; INR 2,800,000 - 5,600,000; Full time

Job summary

MResult Corp in Bengaluru is seeking a Senior AI/ML Engineer to design end-to-end AI systems, from data and models to deployment and operations, with a focus on production readiness and governance.

You will lead RFP responses, set engineering standards for your pod, hire and coach engineers, and build reusable accelerators for faster engagements across AWS/Azure/GCP and data platforms like Databricks or Snowflake.

Qualifications

• Experience designing and developing production-grade AI solutions.

Responsibilities

• Design end-to-end AI solutions for client engagements, from data and models to deployment, evaluation and operations.

Skills

Python

Generative AI

Agentic AI

LLM

Production-grade AI

AWS

Azure

GCP

LLMOps

Databricks

Snowflake

Regulated GenAI

Data Engineering

Data and Decisions

Agentic Systems

Tools

Databricks

Snowflake

Job description

Responsibilities:

• Design end-to-end solutions for client engagements, from data and models to deployment, evaluation and operations.
• Lead RFP responses and proposals: solution outline, team shape, estimates, risks and success measures.
• Act as the senior technical voice with client sponsors, IT, security and business stakeholders.
• Set engineering standards for your pod and review critical designs and code.
• Hire, coach and grow your Lead, Senior Engineers and AI Engineers.
• Build reusable assets (accelerators, reference architectures, evaluation harnesses) that make the next engagement faster.
• Re-plan calmly when client scope, platform or constraints change mid-engagement. Pod focus: Data and Decisions
• Lakehouse and warehouse platforms (Databricks, Snowflake or similar), including migrations between them.
• Data modelling, semantic layers and governance that reconcile to business definitions.
• Forecasting, supply chain planning and decision-support agents built on top of the data platform.

Pod focus: Agentic Systems

• Agent platforms and production agents across AWS, Azure and GCP, with cloud-agnostic core design.
• Tool design, permissions, human approval gates, tracing and evaluation for agents.
• IT and operations agents, LLMOps, observability and integration with enterprise systems.

Requirements:

• Primary Skillsets: Python, Generative AI, Agentic AI, LLM, experience designing and developing production-grade AI solutions, AWS/Azure/GCP, LLMOps, Data Engineering (Databricks/Snowflake), Regulated GenAI, Data and Decisions, and Agentic Systems.
• Preferred: Pharma or life sciences experience, especially in regulated (GxP) environments, and experience setting up a team or practice from scratch.