NEWPosted 3 hours ago

Job ID: JOB_ID_7243

Role Summary:

Gen AI with deep expertise in Amazon Bedrock (including AgentCore) and strong capability in data engineering and AI data pipelines. This role will design and lead enterprise-grade Gen AI solutions, ensuring robust architecture across AI, data, security, scalability, and operations.

Key Responsibilities:

Gen AI & Architecture:

  • Design end-to-end Gen AI architectures using Amazon Bedrock and AgentCore.
  • Architect multi-agent workflows using Bedrock Agents, tools, guardrails, and orchestration patterns.
  • Design enterprise-grade architectures covering security, IAM, networking, observability, scalability, and cost optimization.
  • Lead architecture decisions for RAG systems, knowledge bases, embeddings, and evaluation pipelines.
  • Provide technical leadership across solution design, code reviews, and architectural governance.

Data Engineering & AI Pipelines:

  • Design and guide implementation of data pipelines supporting Gen AI systems.
  • Architect data ingestion flows using S3, Glue, Lambda, EventBridge, Step Functions.
  • Design vector data architectures using OpenSearch, DynamoDB, or similar services.
  • Ensure best practices for: Data modeling, Data quality, Metadata management, Versioning of datasets, Governance and access control.
  • Guide teams on ETL/ELT patterns and integration with AI workflows.

AWS Platform & Integration:

  • Architect integrations using Lambda, API Gateway, VPC, IAM, S3, DynamoDB, OpenSearch, CloudWatch.
  • Design event-driven and microservices-based architectures.
  • Conduct architecture reviews, technical workshops, and stakeholder design sessions.
  • Act as technical advisor to senior client stakeholders.

Required Skills & Experience:

  • 8+ years of experience in cloud architecture (strong AWS focus).
  • Hands-on experience with Amazon Bedrock, including: Bedrock Agents, Bedrock AgentCore, Knowledge Bases, Guardrails, Tool orchestration.
  • Strong understanding of Gen AI design patterns: RAG, Agent orchestration, Prompt engineering, Evaluation and monitoring.
  • Solid experience with data engineering concepts, including: Data pipelines, ETL/ELT design, Data lake architectures, Schema design, Data governance.
  • Strong AWS service experience across: Lambda, API Gateway, S3, DynamoDB, OpenSearch, Glue, Step Functions, EventBridge, VPC, IAM, CloudWatch, CloudTrail.

Preferred Qualifications:

  • AWS Solutions Architect Professional or relevant AWS certifications.
  • Experience with Python for full stack applications.
  • Experience with OpenSearch vector search or similar technologies.
  • Exposure to MLOps concepts (monitoring, evaluation, lifecycle management).

Special Requirements

H1B (I-94 MUST be fetched); DayOne Onsite; MUST: AWS, Amazon Bedrock (including AgentCore).

Compensation & Location

Salary: $100 – $140 per year

Location: San Antonio, TX

Recruiter / Company – Contact Information

Recruiter / Employer: USAA

Email: ve@innovcentric.com

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