Senior AI Platform Engineer

Senior AI Platform Engineer

Summary of Position:

• We are looking for an experienced AI Platform Engineer to design, build, and operate a scalable Generative AI platform on AWS.
• This role focuses on enabling teams to rapidly build and deploy GenAI and agentic applications through robust, reusable platform capabilities.
• The ideal candidate is a hands-on engineer with strong AWS fundamentals, GenAI ecosystem knowledge, and a platform engineering mindset, capable of delivering quick PoCs and production-grade solutions.

Key Responsibilities:

• Design platform services for model access, orchestration, security, prompt lifecycle management, and multi-model routing.
• Build reusable capabilities for RAG pipelines, embeddings, and agentic workflows.
• Good Knowledge working with MCP, A2A and agentic Frameworks
• Implement scalable AWS infrastructure using Bedrock/agentcore services, compute (Lambda, ECS/EKS, EC2), storage (S3, DynamoDB), and networking (VPC, load balancers, private endpoints).
• Implement security and governance using IAM, Secrets Manager, Identity and secure API patterns.
• Support developers with integration, debugging, prompt tuning, and performance issues. Understanding cost optimization and multi-model strategies.
• Develop rapid PoCs for new GenAI tools, frameworks, and capabilities.
• Implement observability including tracing, latency, token usage, and cost monitoring.
• Collaborate with engineering, data, and product teams; maintain platform documentation and standards.
• Drive adoption of AI-assisted development tools to enhance solution design, coding efficiency, and delivery speed.

Key Requirements/Minimum Qualifications:

• 5-10 years experience with Bachelor’s/Master’s in Computer Science or related field.
• Strong experience with AWS core services and networking (VPC, DNS, ALB)
• Experience building GenAI systems using LLM APIs, RAG, or agent-based architectures.
• Strong programming skills in Python and API/microservices development. Familiarity with containers (Docker), Kubernetes, and CI/CD pipelines.
• Good understanding of distributed systems and scalable architecture design. Experience with AI orchestration frameworks and vector databases.

Work hours: 12 PM to 9 PM IST

Relocation assistance: Yes

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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.

Experience Level

Senior Level