Principal I, Advance IT Analysis (Gen AI Architect/Lead AI Engineer)

alcon; Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Benefits offered by this job

Relocation Assistance

Equal Opportunity Employer

Job summary

Alcon is seeking a highly skilled Gen AI Architect/Lead AI Engineer to lead the design, development, and deployment of enterprise-scale AI solutions across Generative AI, Agentic AI, and Intelligent Automation. This role combines technical leadership with hands-on engineering contributions to deliver scalable, secure, and production-ready AI platforms.

You will mentor teams, partner with business stakeholders, and drive architectural direction while ensuring quality and timely delivery in a

Qualifications

• Bachelor's or Master's degree in a relevant field.
• 7-10+ years of software engineering with 3+ years architecting and leading AI solutions.
• Experience delivering enterprise-scale AI in regulated environments.
• Strong stakeholder management and communication skills.

Responsibilities

• Act as technical lead and architect for enterprise AI initiatives while contributing to solution development.
• Define delivery approaches using No-Code/Low-Code platforms or Pro-Code solutions on AWS and Azure.
• Design scalable, secure architectures for Generative AI, Agentic AI, RAG, and intelligent automation.
• Establish engineering standards, architecture patterns, testing frameworks, and deployment practices.
• Lead architecture reviews, design discussions, and technology selections.
• Translate business requirements into end-to-end technical designs.
• Partner with stakeholders to evaluate AI opportunities, shape roadmaps, and define implementation strategies.
• Lead AI initiatives through discovery, design, development, deployment, monitoring, and optimization.
• Mentor engineers and foster engineering excellence.

Skills

GenAI Architecture

Leadership

Stakeholder Management

Distributed Teams

Education

Bachelor's or Master's in CS/EE

Tools

Azure

AWS

Copilot Studio

Power Platform

LangGraph

LangChain

Job description

Summary of Position:

We are seeking a highly skilled and hands-on Gen AI Architect/Lead AI Engineer to lead the design, development, and deployment of enterprise-scale AI solutions. This role combines technical leadership, solution architecture, and active engineering contributions across Generative AI, Agentic AI, Intelligent Automation, and Enterprise AI platforms.

This role requires a hands-on technical leader who is expected to actively contribute to architecture, prototyping, development, code reviews, and solution delivery while providing technical leadership across AI initiatives.

The ideal candidate will define architectural direction, mentor development teams, partner with business stakeholders, and deliver scalable, secure, and production-ready AI solutions.

Key Responsibilities:

Technical Leadership & Architecture

• Act as the technical lead and architect for enterprise AI initiatives while remaining actively involved in solution development.
• Conduct feasibility assessments and define the optimal delivery approach using No-Code/Low-Code platforms (Copilot Studio, Power Platform) or Pro-Code solutions built on AWS and Azure.
• Design scalable, secure, and maintainable architectures for Generative AI, Agentic AI, RAG, and intelligent automation solutions.
• Establish and govern engineering standards, architecture patterns, testing frameworks, security controls, and deployment practices.
• Lead architecture reviews, technical design discussions, and technology selection decisions.
• Translate business requirements into end-to-end technical solution designs.
• Partner with Business Technology Partners, Product Owners, and business stakeholders to evaluate AI opportunities, shape solution roadmaps, and define implementation strategies.
• Lead AI initiatives through the complete lifecycle, including discovery, solution design, development, evaluation, deployment, monitoring, and continuous optimization.
• Mentor engineers, foster engineering excellence, and promote continuous learning and innovation.

Key Requirements/Minimum Qualifications:

• Bachelor's or Master's Degree with 7-10+ years of software engineering experience, including 3+ years architecting and leading production-grade AI, GenAI, or intelligent automation solutions.
• Experience delivering enterprise-scale AI solutions in regulated environments.
• Strong stakeholder management and communication skills.
• Proven ability to lead distributed engineering teams and drive technical excellence.
• Experience evaluating emerging AI technologies and defining enterprise adoption strategies.

Required Technical Skills

Cloud & Platform Expertise

Microsoft Azure Ecosystem

• Microsoft Copilot Studio and
• Power Platform (Power Apps, Power Automate, etc.)
• Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Functions
• Azure Kubernetes Service (AKS).

AWS

• Amazon Bedrock
• OpenSearch
• Lambda
• ECS/EKS
• API Gateway
• S3
• CloudWatch
• Step Functions
• AWS IDP

Gen AI & Agentic AI

• Proven experience designing and implementing:
  • Generative AI and Agentic AI solutions
  • Retrieval-Augmented Generation (RAG) applications
  • Multi-Agent Systems and AI orchestration frameworks
  • Enterprise AI platforms and reusable AI capabilities
• Strong understanding of LLM evaluation, guardrails, testing, observability, and Responsible AI practices.

AI Frameworks & Technologies

• LangGraph, LangChain, Semantic Kernel
• Model Context Protocol (MCP)
• Agent orchestration and tool-calling frameworks
• Prompt engineering and AI workflow design
• Vector databases and semantic search technologies.

Integration & Engineering

• REST APIs and microservices architecture
• Event-driven architectures
• Enterprise application integration patterns
• Docker and Kubernetes
• CI/CD and DevOps practices

Work hours: 1 PM to 10 PM IST

Relocation assistance: Yes

Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason.