What are the responsibilities and job description for the Head - Work Next AI Transformation - GO/JC/2630/2026 position at Golden Opportunities?
Job Description
6–10 years of relevant experience in Client-Facing Technical roles (e.g., Solutions Architect, Pre-Sales Engineer, AI Consultant).
3 years hands-on with AI/ML, LLM applications, or automation platforms.
Experience in at least one enterprise vertical (e.g., BFSI, Manufacturing, Retail, Healthcare) is a plus.
Certifications in cloud/AI (Azure AI Engineer, AWS ML Specialty, GCP ML Engineer) preferred.
Own the end-to-end AI solution lifecycle including discovery, architecture design, demos, POCs, pilots, and deployment strategy.
Translate business requirements into LLM, RAG, NLP, and automation-based AI use cases with measurable outcomes.
Design reference architectures, integration frameworks, and scalable cloud deployments across enterprise environments.
Optimize prompt engineering, orchestration workflows, guardrails, and model evaluation frameworks.
Ensure compliance with security, privacy, Responsible AI, RBAC, and PII governance standards.
Drive cross-functional collaboration while enabling adoption through technical documentation, training, monitoring, and performance optimization.
Skills Required
RoleHead - Work Next AI Transformation
Industry TypeITES/BPO/KPO
Functional AreaITES/BPO/Customer Service
Required Education Bachelor
Employment TypeFull Time, Permanent
Key Skills
Job CodeGO/JC/2630/2026
Recruiter NameMaheshwari Balasubramanian
6–10 years of relevant experience in Client-Facing Technical roles (e.g., Solutions Architect, Pre-Sales Engineer, AI Consultant).
3 years hands-on with AI/ML, LLM applications, or automation platforms.
Experience in at least one enterprise vertical (e.g., BFSI, Manufacturing, Retail, Healthcare) is a plus.
Certifications in cloud/AI (Azure AI Engineer, AWS ML Specialty, GCP ML Engineer) preferred.
Own the end-to-end AI solution lifecycle including discovery, architecture design, demos, POCs, pilots, and deployment strategy.
Translate business requirements into LLM, RAG, NLP, and automation-based AI use cases with measurable outcomes.
Design reference architectures, integration frameworks, and scalable cloud deployments across enterprise environments.
Optimize prompt engineering, orchestration workflows, guardrails, and model evaluation frameworks.
Ensure compliance with security, privacy, Responsible AI, RBAC, and PII governance standards.
Drive cross-functional collaboration while enabling adoption through technical documentation, training, monitoring, and performance optimization.
Skills Required
RoleHead - Work Next AI Transformation
Industry TypeITES/BPO/KPO
Functional AreaITES/BPO/Customer Service
Required Education Bachelor
Employment TypeFull Time, Permanent
Key Skills
- AI AND DATA TRANSFORMATION
- VALUE ENGINEERING
Job CodeGO/JC/2630/2026
Recruiter NameMaheshwari Balasubramanian