AI Architect
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Job Description
We are seeking 10+ years of experienced AI Architecture & Leadership Manager to lead the design, implementation, and governance of enterprise-scale AI and Generative AI solutions. The ideal candidate will possess deep expertise in AI architecture, cloud-native platforms, LLM ecosystems, Agentic AI, and enterprise application integration while leading multidisciplinary teams to deliver innovative business solutions.
Experience- 10+
Location- Bengaluru/Hyderabad/Mumbai/Pune
Key Responsibilities
AI Strategy & Leadership
- Define and execute the organization's AI and Generative AI roadmap aligned with business objectives.
- Lead AI transformation initiatives and drive enterprise-wide AI adoption.
- Partner with business leaders, product owners, and executive stakeholders to identify AI opportunities and create innovation strategies.
- Build and mentor high-performing AI engineering, architecture, and data science teams.
- Establish AI governance, responsible AI practices, and risk management frameworks.
Architecture & Solution Design
- Architect enterprise-scale AI/GenAI platforms and solutions.
- Define end-to-end architectures covering data ingestion, model orchestration, RAG pipelines, vector databases, AI agents, integrations, security, and monitoring.
- Drive architecture decisions for LLM-based applications utilizing Azure OpenAI, AWS Bedrock, and other foundation model ecosystems.
- Establish AI platform standards, reusable frameworks, and enterprise best practices.
- Design scalable multi-agent and Agentic AI systems.
Delivery & Program Management
- Oversee the delivery of complex AI programs from ideation to production deployment.
- Manage architecture reviews, technical governance, and solution quality.
- Ensure AI solutions meet scalability, performance, security, and compliance standards.
- Collaborate with engineering, DevOps, MLOps, and cloud teams to enable successful deployments.
- Drive continuous improvement and innovation across AI initiatives.
More Info
Key Skills
data ingestion
RAG pipelines
Azure OpenAI
cloud-native platforms
vector databases
model orchestration
AI architecture
LLM ecosystems
AWS Bedrock
Agentic AI
AI agents integrations
About Company
Skills:
Servicenow, Generative AI, AWS Bedrock, AI Agents, AI governance programs, Azure OpenAI, Responsible AI frameworks, enterprise integrations, AI Control Tower, Google Vertex AI, Microsoft Copilot, intelligent automation
Skills:
Machine Learning, Sql, Gcp, MLops, Azure, Python, AWS, Data lakes, LLM ecosystems, GenAI, Deep Learning frameworks, AI deployment frameworks, R, AI governance
Skills:
triton , Openshift, Kubernetes, GPTQ, SGLang, Multi-cloud provider-agnostic AI architectures, AMD ROCm, GGUF, RedHat OpenShift, Custom inference schedulers, Model quantization, AWQ, Intel OpenVINO, TensorRT-LLM, LLM serving architecture, NVIDIA Dynamo, GKE, GPU FinOps, AMD EPYC, AKS, vLLM, EKS, Intel Xeon, CPU cluster inference, Routing trade-offs
Skills:
System Design, Distributed Systems, Software Architecture, Apis, Databases, reusable engineering patterns, full-stack product engineering, AI tools for architecture analysis, non-functional requirements, architecture decision records, cloud-native design, modernization roadmaps, event-driven systems, service modeling, security principles, Technical Standards, CI CD, observability, performance reliability, service catalogs, diagrams, integration patterns
Skills:
snowflake , MLops, Gcp, Databricks, Azure, AWS, AI ML, LLMOps, Palantir, Data Engineering Pipelines, Technical Architecture Design, Hyperscaler Solutions, GenAI Architecture