Fullstack Gen Ai Gcp - Lead
Iris Software · Noida · onsite · Posted 58d ago
Undisclosed10–15 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Mandatory Skills:
Mandatory Competencies
Agentic AI Systems,Advanced GenAI Agentic Framework Concepts,Cloud Application Integration Deployment,LangChain,LangGraph,AI Search Index,AI Agents Tool Calling
Additional Skills:
Python,Terraform
Key Responsibilities
- Define and drive enterprise Generative AI strategy aligned with organizational objectives, innovation goals, and AI transformation initiatives.
- Establish AI engineering standards, governance frameworks, and best practices for enterprise AI solution delivery.
- Lead the design of enterprise-scale AI architecture using Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index platforms.
- Define enterprise standards for Retrieval-Augmented Generation (RAG), Graph RAG, Agentic AI systems, and intelligent automation architectures.
- Drive adoption of AI agents, tool-calling frameworks, and autonomous workflow solutions across business functions.
- Drive adoption of enterprise multi-agent architectures, Human-in-the-Loop (HITL) governance, and scalable AI engineering patterns supporting secure and reliable business automation.
- Establish governance standards for model customization, fine-tuning, prompt engineering, retrieval quality, and AI solution lifecycle management.
- Define enterprise standards for prompt engineering pipelines, vector databases, semantic search, Retrieval-Augmented Generation, Model Context Protocol (MCP), and AI agent orchestration frameworks.
- Define architecture patterns and engineering standards using LangChain, LangGraph, and related workflow orchestration frameworks.
- Establish enterprise AI engineering standards covering secure API design, authentication, authorization, asynchronous processing, scheduling, scalability, deployment, observability, and operational resilience.
- Establish cloud integration and deployment standards for scalable and secure AI-enabled applications.
- Establish enterprise integration standards supporting databases, enterprise APIs, messaging platforms, and cloud-native AI application deployment.
- Lead architecture reviews and ensure AI solutions meet scalability, reliability, maintainability, explainability, and business value objectives.
- Guide teams on GenAI architecture, agentic systems, AI governance, and enterprise AI adoption best practices.
- Identify AI-related risks, governance gaps, operational challenges, and architectural limitations while defining mitigation strategies.
- Collaborate with various teams and leadership stakeholders to align AI initiatives with organizational objectives.
- Drive continuous improvement initiatives focused on AI maturity, innovation, operational effectiveness, governance, and business value realization.
Behavioral Competencies
- Demonstrates leadership and accountability in driving AI engineering excellence across programs and initiatives.
- Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
- Promotes a culture of innovation, responsible AI adoption, quality, and continuous improvement.
- Applies strategic thinking to address AI risks, architectural challenges, governance requirements, and business priorities.
- Demonstrates strong decision-making while balancing innovation, scalability, reliability, governance, and business objectives.
- Communicates effectively regarding AI strategy, risks, dependencies, solution outcomes, and business value.
Mandatory Competencies
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Terraform
Data AI - GEN AI - Python
Cloud - GCP - Apigee API Management, API Gateway
Data AI - GEN AI - Cloud Application Integration Deployment
Data AI - GEN AI - Prompt Engineering / Vector Databases
Data AI - GEN AI - Workflow Agentic Frameworks (LangChain / LangGraph)
Data AI - GEN AI - Fine tuning Model Customization / AI Agents Tool Calling
Data AI - GEN AI - Retrieval Augmented Generation (RAG) / Graph RAG / Agentic AI Systems
Data AI - GEN AI - AI Search Index
Data AI - GEN AI - Pandas
Data AI - GEN AI - NumPy
Data AI - GEN AI - Advanced GenAI Agentic Framework Concepts
Beh - Communication and collaboration
Perks and Benefits for Irisians Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.
Sourced from naukri
Skills
AutomationBedrockApplication Deploymentai strategyAzure Aiapisapi designApigeeApigee Api ManagementAzure OpenAIai governanceAnalyticsbusiness automationAsynchronousAPI GatewayscloudArchitectureAi SolutionsMicrosoft AzureArtificial Intelligence
About Iris Software
Iris Software
IT Services & Consulting
4.3k+
employees
1991
35 years old
Edison, New Jersey
United States (USA)
About
IT company for best tech-solutions to enhance business operations
Industries
IT Services & Consulting
Employee ratings
1,895 reviews
3.8/ 5
Culture
3.7
Career growth
3.3
Work-life
3.8
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