
Senior AI Engineering Leader
14 hours ago
Job Title: Chief AI/ML Solutions Architect
Job Summary:
As a highly skilled Chief AI/ML Solutions Architect, you will be responsible for designing and implementing scalable, secure, and high-performance architectures on AWS for AI/ML applications. You will lead full lifecycle development of AI/ML/GenAI solutions from PoC to production ensuring reliability and performance.
Key Responsibilities:
- Design and implement architecturally sound, cloud-based AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
- Lead technical teams in developing and deploying AI/ML/GenAI-driven applications with expertise in MLOps, DataOps, and DevOps on AWS.
- Collaborate with cross-functional teams to ensure best practices in cloud deployment, security, and scalability.
Requirements:
- 9-12 years of experience in AI/ML engineering with expertise in cloud architecture and security.
- Strong knowledge of AWS services and ability to design and implement scalable, secure, and high-performance architectures.
- Experience in leading technical teams and collaborating with cross-functional teams.
Skills & Qualifications:
- 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, OpenAI, Llama), ML Frameworks (TensorFlow, PyTorch, LangChain, Hugging Face), Vector DBs (OpenSearch, Pinecone, FAISS).
- Software Architecture & Scalability: Serverless & Microservices Architecture, API Design & GraphQL, Event-Driven Systems (SNS, SQS, EventBridge, Step Functions).
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