via Career pages·Today
AI Engineering Architect
Infosys
Full-timeOn-site
Location:Bangalore, IndiaType:Full-timePosted:Today
AI Architecture & Engineering
- 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
Platform Engineering & Integration
- 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
Engineering Governance & Quality
- 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
Core Platforms, Frameworks & Tooling
- LLM and foundation model platforms (e.g., AWS Bedrock, Azure OpenAI, Vertex AI)
- Agentic AI and orchestration frameworks (LangChain, LangGraph, CrewAI, AutoGen, Google ADK or equivalent)
- Vector databases and search technologies (OpenSearch, Pinecone, FAISS, Weaviate)
- Model lifecycle and deployment tooling (Kubernetes, containers, serverless runtimes)
- CI/CD and MLOps tooling for AI pipelines (GitHub Actions, Azure DevOps, Jenkins)
- Observability and monitoring tooling for AI systems (OpenTelemetry, Prometheus, Grafana)
Client Orientation & Leadership
- Partner with product and engineering teams to identify AI opportunities and shape roadmaps
- Support client workshops, RFPs, and solution presentations
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