Infosys Limited is seeking an AI Engineering Architect with extensive experience in AI architecture, platform engineering, and integration to lead scalable AI solutions and platforms.

Company: Infosys Limited

Role: AI Engineering Architect

Location: Bangalore

Experience:

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

Key Skills:

LLMs
multi agent systems
orchestration frameworks
AI pipelines
model serving
prompt management
RAG
workflow orchestration
Kubernetes
serverless platforms
CI/CD pipelines
APIs
SDKs
event driven architectures
Python
AI frameworks
cloud-native AI services
vector search
embeddings
inference services
GitHub Actions
Azure DevOps
Jenkins
OpenTelemetry
Prometheus
Grafana
AWS Bedrock
Azure OpenAI
Vertex AI
LangChain
LangGraph
CrewAI
AutoGen
Google ADK
OpenSearch
Pinecone
FAISS
Weaviate

Qualification:

Bachelor of Engineering

Role Focus:

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

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

AI Engineering Architect

Skills Required

Description