Lead Generative AI Architect and Engineer

Alcon Laboratories India Pvt Ltd

Bengaluru, Chennai District

On-site

INR 6,000,000 - 9,000,000

Full time

5 days ago
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Relocation assistance

Job summary

Alcon Laboratories India Pvt Ltd is seeking a Principal I, Advance IT Analysis who will act as Gen AI Architect/Lead AI Engineer. You will lead the design, development, and deployment of enterprise-scale AI solutions, mentor teams, and ensure production-ready delivery across Generative AI and automation platforms.

The role requires hands-on contributions from architecture through prototyping, with a focus on scalable, secure solutions and effective collaboration with business stakeholders.

Qualifications

  • 7-10+ years in software engineering with 3+ years leading AI/GenAI initiatives.
  • Experience delivering enterprise-scale AI in regulated environments.
  • Strong communication and stakeholder management skills.

Responsibilities

  • Act as technical lead and architect for enterprise AI initiatives with hands-on contribution.
  • Define delivery approaches using no-code/low-code and pro-code platforms on AWS/Azure.
  • Design scalable, secure architectures for Generative AI, Agentic AI, and automation.
  • Establish engineering standards, patterns, testing, security, and deployment practices.
  • Lead architecture reviews and technology selection decisions.
  • Translate business requirements into end-to-end AI solutions.
  • Mentor teams and drive innovation across AI initiatives.

Skills

Gen AI Architecture
AI Leadership
Distributed Teams Leadership
Stakeholder Management
Cloud Platforms (Azure/AWS)

Tools

Azure Copilot Studio
Power Platform
Azure OpenAI
AWS Bedrock
AKS / Kubernetes

Job description

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

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
  • 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
  • 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 LangChain, 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
Additional Information
  • 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.

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