AI Solutions Architect

4 days ago

Mangalore, Karnataka, India beBeeArtificial Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Drive innovation in artificial intelligence and machine learning by joining our team as an AI Solutions Architect.

We are seeking a seasoned professional to design, develop, and implement end-to-end generative AI solutions using AWS services.

This role requires a strong background in cloud computing, machine learning infrastructure, and large language models. The ideal candidate will have experience with generative AI, foundation models, and proven track record of building and deploying production-scale AI/ML applications on AWS.

The successful candidate will lead AI transformation initiatives, build next-generation intelligent applications, and design scalable, cost-effective AI pipelines and workflows.

Key Responsibilities:

  • Solution Architecture & Design: Design end-to-end generative AI solutions using AWS services, including Amazon Bedrock and SageMaker AI.
  • Design and architect scalable, cost-effective AI pipelines and workflows.
  • Implement responsible AI practices and governance frameworks.
  • Create technical documentation and best practices for AI implementations.
  • Development & Implementation: Build production-ready applications using Amazon Bedrock and SageMaker AI, and develop custom AI agents using Strands Agents SDK and related frameworks.
  • Implement RAG systems with vector databases and knowledge management.
  • Create automated workflows for model deployment and monitoring.
  • Integrate AI capabilities into existing enterprise applications.
  • Model Management & Optimization: Evaluate and select appropriate foundation models for specific use cases, implement model versioning, A/B testing, and performance monitoring, optimize model inference costs and latency, and handle model updates and migration strategies.
  • Ensure compliance with data privacy and security requirements.

Requirements:

  • Minimum 3+ years of hands-on experience with AWS cloud services and machine learning infrastructure.
  • 2+ years of specific experience with generative AI, large language models (LLMs), and foundation models.
  • Proven track record of building and deploying production-scale AI/ML applications on AWS.
  • Certifications: AWS Certified AI Practitioner (when available).
  • Experience leading AI transformation initiatives.
  • Ability to communicate complex AI concepts to non-technical stakeholders.
  • Cross-functional collaboration with product, engineering, and business teams.
  • Mentoring junior engineers and data scientists.

Preferred Experience & Skills:

  • Industry-Specific Knowledge: Experience with industry-specific AI applications (healthcare, finance, retail, etc.).
  • Understanding of compliance requirements (GDPR, HIPAA, SOX, etc.).
  • Knowledge of AI ethics and bias mitigation strategies.
  • Advanced Technical Skills: MLOps, Real-time AI, Multimodal AI, Edge AI, Custom Training.

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