Principal I, Advance IT Analysis (Gen AI Architect/Lead AI Engineer)
At a glance
Senior AI Engineering role at Alcon. Bangalore · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Shape enterprise AI architecture and stay involved in prototypes, implementation, code reviews and delivery
- Assess feasibility, then choose low-code platforms or AWS and Azure engineering for each solution
- Turn business needs into designs for generative AI, agent systems, RAG and intelligent automation
- Set engineering patterns for testing, security and deployment, and lead design reviews and technology choices
- Guide AI work from discovery through monitoring, while mentoring engineers and refining deployed solutions
What you bring
- A bachelor's or master's degree, plus at least seven years in software engineering
- At least three years designing and leading production AI or automation solutions
- Experience delivering enterprise AI in regulated settings and guiding distributed engineering teams
- Strong communication and stakeholder skills, with experience setting enterprise adoption plans for emerging AI
- Hands-on knowledge of the named cloud, AI, integration and delivery technologies
Who this fits
This suits a hands-on technical lead who can set architecture and mentor engineers while contributing to solution development. The role is based in Bangalore and works from 1 PM to 10 PM IST; relocation assistance is available.
From the employer
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
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