Experience:

• 10 - 20 Years
• 13+ years of experience in software engineering
• 3+ years in AI with strong architecture ownership

Qualification:

• Bachelor of Engineering

Responsibilities:

• Define and own AI reference architectures for generative AI, agentic systems, and AI augmented applications
• Architect scalable solutions using LLMs, multi agent systems, orchestration frameworks, and AI pipelines
• Design AI platforms supporting model serving, prompt management, RAG, and workflow orchestration
• Establish architectural standards for performance, scalability, reliability, and cost efficiency
• Build reusable AI components for LLM integration, vector search, embeddings, and inference services
• Enable secure and scalable deployment using Kubernetes, serverless platforms, and CI/CD pipelines
• Integrate AI capabilities into enterprise systems using APIs, SDKs, and event driven architectures
• Collaborate with QE teams to embed AI into test automation, test data generation, and intelligent validation
• Define architectural guardrails for model lifecycle, versioning, monitoring, and rollback
• Ensure adherence to non functional requirements including performance, observability, and fault tolerance
• Leverage observability tools to monitor model performance and drift
• Review designs and implementations for architectural compliance and code quality
• Mentor engineers and architects on AI engineering best practices
• Partner with product and engineering teams to identify AI opportunities and shape roadmaps
• Support client workshops, RFPs, and solution presentations
• Mentor engineers on AI/ML/Gen AI best practices and emerging technologies
• Translate complex AI concepts into business-friendly narratives

Nice to have:

• Experience with multi agent orchestration and autonomous workflows
• Knowledge of model observability and monitoring tooling
• Exposure to QE platforms, test automation frameworks, or AI assisted testing
• Domain experience in regulated industries such as BFSI, Healthcare, Telecom
• Cloud and AI certifications

More skills:

multi agent systems, orchestration frameworks, AI pipelines, model serving, prompt management, workflow orchestration, serverless platforms, CI/CD pipelines, APIs, SDKs, event driven architectures, vector search, inference services, observability tools, model lifecycle, versioning, monitoring, rollback, AWS Bedrock, Vertex AI, LangGraph, CrewAI, AutoGen, Google ADK, OpenSearch, Pinecone, FAISS, Weaviate, GitHub Actions, Azure DevOps, Jenkins, OpenTelemetry, Prometheus, Grafana

Other:

• Service Line: Infosys Quality Engineering
• Job ID/Reference Code: INFSYS-EXTERNAL-245302
• Preferred Skills: Architecture, Python, CD/CI, Artificial Intelligence, Generative AI model framework (langchain), Agent Engineering, Model Deployment (Kubernetes), LLMOps