Noida, Uttar Pradesh
Job Summary
To be responsible for managing technology in complex projects ,providing technical guidance and ensuring successful delivery of solutions.
Key Responsibilities
Lead AI Engineer Experience Level 8+ years in enterprise application development Strong leadership in AI/GenAI programs Role Summary The Lead AI Engineer owns architecture, design decisions, governance, and technical leadership for AI initiatives. This role aligns AI solutions with enterprise security, compliance, and business outcomes while guiding teams and stakeholders. Key Responsibilities Define AI solution architecture using Azure OpenAI , Microsoft Graph , and Azure-native services.Lead design of enterprise copilots, AI agents, and automation assistants.Establish standards for prompt engineering, AI governance, and responsible AI.Oversee secure identity, access, and secret management using Azure AD & Key Vault .Ensure compliance with enterprise security, audit, and data protection policies.Review and approve technical designs, code, and deployment strategies.Guide teams on performance, scalability, and cost optimization.Collaborate with stakeholders, architects, and leadership on AI roadmaps.Support SOW creation, effort estimation, and cost considerations. Required Skills Expert-level Azure OpenAI and GenAI architectureDeep Microsoft Graph & M365 ecosystem expertiseAzure Bot Framework & Teams extensibilityEnterprise security, compliance, and governancePython architecture & API designLeadership, mentoring, and stakeholder communication Expected Deliverables Enterprise AI architecture & design standardsScalable, secure AI platformsGovernance, audit, and compliance-ready solutionsTechnical leadership and delivery oversight
Skill Requirements
Lead AI Engineer Experience Level 8+ years in enterprise application development Strong leadership in AI/GenAI programs Role Summary The Lead AI Engineer owns architecture, design decisions, governance, and technical leadership for AI initiatives. This role aligns AI solutions with enterprise security, compliance, and business outcomes while guiding teams and stakeholders. Key Responsibilities Define AI solution architecture using Azure OpenAI , Microsoft Graph , and Azure-native services.Lead design of enterprise copilots, AI agents, and automation assistants.Establish standards for prompt engineering, AI governance, and responsible AI.Oversee secure identity, access, and secret management using Azure AD & Key Vault .Ensure compliance with enterprise security, audit, and data protection policies.Review and approve technical designs, code, and deployment strategies.Guide teams on performance, scalability, and cost optimization.Collaborate with stakeholders, architects, and leadership on AI roadmaps.Support SOW creation, effort estimation, and cost considerations. Required Skills Expert-level Azure OpenAI and GenAI architectureDeep Microsoft Graph & M365 ecosystem expertiseAzure Bot Framework & Teams extensibilityEnterprise security, compliance, and governancePython architecture & API designLeadership, mentoring, and stakeholder communication Expected Deliverables Enterprise AI architecture & design standardsScalable, secure AI platformsGovernance, audit, and compliance-ready solutionsTechnical leadership and delivery oversight
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