Senior Technical Lead
About the role
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 Level8+ years in enterprise application development
Strong leadership in AI/Gen
AI 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 architecture Deep Microsoft Graph & M365 ecosystem expertise Azure Bot Framework & Teams extensibility Enterprise security, compliance, and governance Python architecture & API design Leadership, mentoring, and stakeholder communication
Expected Deliverables
Enterprise AI architecture & design standards Scalable, secure AI platforms Governance, audit, and compliance-ready solutions Technical leadership and delivery oversight
Skill Requirements
Lead AI Engineer Experience Level8+ years in enterprise application development
Strong leadership in AI/Gen
AI 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 architecture Deep Microsoft Graph & M365 ecosystem expertise Azure Bot Framework & Teams extensibility Enterprise security, compliance, and governance Python architecture & API design Leadership, mentoring, and stakeholder communication
Expected Deliverables
Enterprise AI architecture & design standards Scalable, secure AI platforms Governance, audit, and compliance-ready solutions Technical leadership and delivery oversight
Other Requirements
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About HCL Technologies
Noida
Headquarters