AI Solutions Architect

7 hours ago

Gulbarga, Karnataka, India beBeeInnovator Full time ₹ 1,64,99,900 - ₹ 2,43,49,900

We are looking for a seasoned AI Solutions Architect to join our team. As an expert in AI, you will play a key role in designing and implementing cutting-edge AI solutions for our clients.

  • Technical Leadership & Architecture:
    • Develop and implement scalable, secure, and high-performance architectures on AWS for AI applications.
    • Architect multi-tenant, enterprise-grade AI solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
    • Lead full lifecycle development of AI/ML/GenAI solutions from PoC to production ensuring reliability and performance.
    • Define and implement best practices for MLOps, DataOps, and DevOps on AWS.
  • AI/ML & Generative AI Expertise:
    • Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan.
    • Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications.
    • Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines.
  • Cloud & Infrastructure Management:
    • Architect event-driven, serverless, and microservices architectures for AI/ML applications.
    • Ensure high availability, disaster recovery, and cost optimization in cloud deployments.
    • Implement IAM, VPC, security best practices, and compliance.
  • Team & Client Engagement:
    • Lead and mentor a team of ML engineers, Python developers, and Cloud Engineers.
    • Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML/GenAI-driven solutions.
    • Conduct technical workshops, training sessions, and knowledge-sharing initiatives.
  • Multi-Client & Business Strategy:
    • Manage multiple client engagements delivering AI/ML/GenAI solutions tailored to their business needs.
    • Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions.
    • Stay updated on cutting-edge AI advancements driving innovation in AI/ML offerings.

Key Skills & Technologies:

  • Cloud & DevOps:
    • AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS
    • MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK)
    • Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito
  • AI/ML & GenAI:
    • LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), OpenAI, Llama
    • ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face
    • Vector DBs: OpenSearch, Pinecone, FAISS
    • RAG Pipelines, Prompt Engineering, Fine-tuning
  • Software Architecture & Scalability:
    • Serverless & Microservices Architecture
    • API Design & GraphQL
    • Event-Driven Systems (SNS, SQS, EventBridge, Step Functions)
    • Performance Optimization & Auto Scali

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