AI Architect
AI Architect
EMAGine- Posted a day ago
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Job Description
Summary: The role of the AI Architect is to enhance the Enterprise Architecture function by focusing on the definition and implementation of AI strategies within a complex enterprise environment.
Main Responsibilities:
Main Responsibilities:
- Collaborate with business and technical stakeholders to define AI strategy and architecture.
- Design and oversee the integration roadmap for AI solutions.
- Ensure governance frameworks are adhered to when implementing AI solutions.
- Manage data and cloud platform integration in AI projects.
- Contribute to large transformation programs, particularly in the energy sector.
- Expertise in Enterprise Architecture.
- Strong focus and experience in AI/GenAI solutions at scale.
- Knowledge of data and cloud integration frameworks.
- Experience in managing integration across multiple technology streams.
- Proven track record in large transformation programs, preferably in the energy sector.
- Familiarity with governance frameworks for AI implementation.
- Experience with stakeholder engagement at the enterprise level.
- Location: Bangalore
- Team Structure: Engage with both business and tech teams.
- Project Context: Focus on complex enterprise environments and large transformation.
More Info
Key Skills
About Company
Skills:
Ewm, identity and networking security, enterprise API and integration architecture, RDNG, Microsoft Azure architecture, CI CD deployment patterns, Azure OpenAI, Azure AI Foundry, IBM ALM suite, GitHub Copilot, operational architecture practices, compliance with the EU AI Act, Responsible AI, Microsoft Copilot Studio, ETM
Skills:
snowflake , operational support , AWS, Ml, Application Architecture, Gcp, MLops, automation solutions, Databricks, Azure, LLMOps tooling, GenAI, agentic AI, GenAI LLMs, Google Gemini, vector databases, cloud data integration, responsible AI governance, AI data analytics, Security, Mistral, orchestration frameworks, Anthropic, RAG AI agents, enterprise AI platforms, OpenAI
Skills:
data engineering , Technical Leadership, api design, Pandas, Numpy, Azure, postgresql, Microservices, Automated Testing, Enterprise Architecture, FastAPI, Distributed Systems, python, evaluation frameworks, langchain, llm integration, event-driven architecture, pgvector, cloud-native architecture, langgraph, observability, ci/cd, etl pipelines, Mentoring, prompt engineering, rag architectures
Skills:
Enterprise Architecture
Skills:
Devops, MLops, Data Governance, Prototyping, Data Integration, Cloud Services, Software Engineering, responsible AI, Security, LLMOps, orchestration frameworks, AI solution architecture, AI models