AI Solution Leader

Capgemini

India

Hybrid

INR 3,500,000 - 6,500,000

Full time

3 days ago
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Job summary

Capgemini is seeking an AI Solution Architect/Lead to define end-to-end AI architectures and lead scalable, enterprise-grade AI system design. You will drive data pipelines, model lifecycle management, and integration with ERP/CRM systems, while establishing MLOps practices and governance.

The role requires extensive experience in AI/GenAI projects, strong communication skills, and the ability to translate business needs into technical architecture.

Qualifications

  • 10+ years of experience in IT industry
  • 3+ years of hands-on experience with AI/GenAI projects
  • Proven ability to architect and defend solutions from an enterprise perspective

Responsibilities

  • Define AI Solution Architecture: Design end-to-end AI systems covering data pipelines, model lifecycle, APIs, and integration layers
  • Lead Scalable System Design: Architect cloud-native AI solutions using microservices, containers, and distributed computing
  • Enterprise Integration: Ensure seamless integration of AI solutions with existing enterprise systems (ERP, CRM, data platforms)
  • MLOps & Deployment Strategy: Establish CI/CD frameworks, model versioning, monitoring, and automated deployment pipelines
  • Data Architecture Alignment: Collaborate with data teams on data ingestion, storage, and processing optimized for AI workloads
  • Technology Selection & Standards: Define and standardize tools, frameworks, and platforms for consistency and scalability
  • Performance & Reliability Engineering: Ensure solutions meet SLAs for latency, throughput, availability, and cost efficiency
  • Security & Responsible AI: Embed security, privacy, governance, and ethical AI principles into architecture
  • Cross-functional Leadership: Guide data scientists, engineers, and architects toward shared architectural vision
  • Solution Evangelization: Translate business requirements into technical architectures and present to leadership

Skills

AI/ML architectures
Cloud architecture (AWS/Azure/GCP)
Systems design
Data pipelines
MLOps/DevOps/CI/CD
Communication & stakeholder mgmt
CI/CD frameworks

Tools

CI/CD frameworks

Job description

Job Description::
AI Solution Architect or AI Solution Lead
Required Experience
  • 10+ years of experience in IT industry
  • 3+ years of hands-on experience with AI/GenAI projects
  • Proven ability to architect and defend solutions from an enterprise perspective
Key Responsibilities
  • Define AI Solution Architecture: Design end-to-end AI systems covering data pipelines, model lifecycle, APIs, and integration layers
  • Lead Scalable System Design: Architect cloud-native AI solutions using microservices, containers, and distributed computing
  • Enterprise Integration: Ensure seamless integration of AI solutions with existing enterprise systems (ERP, CRM, data platforms)
  • MLOps & Deployment Strategy: Establish CI/CD frameworks, model versioning, monitoring, and automated deployment pipelines
  • Data Architecture Alignment: Collaborate with data teams on data ingestion, storage, and processing optimized for AI workloads
  • Technology Selection & Standards: Define and standardize tools, frameworks, and platforms for consistency and scalability
  • Performance & Reliability Engineering: Ensure solutions meet SLAs for latency, throughput, availability, and cost efficiency
  • Security & Responsible AI: Embed security, privacy, governance, and ethical AI principles into architecture
  • Cross-functional Leadership: Guide data scientists, engineers, and architects toward shared architectural vision
  • Solution Evangelization: Translate business requirements into technical architectures and present to leadership
Primary Skills
  • Expert-level understanding of AI/ML architectures and frameworks
  • Advanced cloud architecture knowledge (AWS, Azure, GCP)
  • Strong systems design and scalability expertise
  • Deep understanding of data pipelines and data engineering
  • Knowledge of MLOps, DevOps, and CI/CD best practices
  • Excellent communication and stakeholder management abilities
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