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AI Architect Agentic & Generative AI

AI Architect Agentic & Generative AI

Select Minds LLCDallas, TX, US
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Job Description

Job Description

Benefits :

  • Oppurtunity for Advancement
  • Long Term
  • Competitive salary

AI Architect Agentic & Generative AI

Work Type : Full-Time, Onsite

Location : Dallas, Texas

Interview Mode : In-Person

Work Auth : Must be authorized to work in the U.S.

Domain : Enterprise AI / Agentic AI / AWS Bedrock

As AI Architect Agentic & Generative AI, you will be responsible for defining, building, and scaling enterprise-grade agentic AI architecture on AWS. This role focuses on establishing frameworks, patterns, and guardrails that enable safe, reliable, and cost-efficient AI solutions, leveraging Amazon Bedrock (Agents, Knowledge Bases, Guardrails, Flows) and Claude models.

You will collaborate with cross-functional teams in product, engineering, data, and security to deliver next-generation AI capabilities including retrieval-augmented generation (RAG), multi-agent orchestration, and governed AI operations driving measurable business impact through intelligent automation and decision-making systems.

Responsibilities

  • Define and evolve the enterprise agentic AI architecture, establishing reusable frameworks and standards for RAG, tool / function calling, and multi-agent orchestration.
  • Design and implement AI solutions using Amazon Bedrock and integrate with core AWS services (Lambda, Step Functions, EventBridge, ECS / EKS, S3, Aurora, OpenSearch, DynamoDB).
  • Drive adoption of agentic AI patterns planning, memory, and human-in-the-loop ensuring alignment with enterprise security and compliance frameworks.
  • Guide model selection and optimization (Claude family and Bedrock models), including prompt schema design, adapters, and fine-tuning strategies.
  • Implement advanced RAG pipelines with optimized chunking, reranking, grounding, and hybrid / vector retrieval using OpenSearch and pgvector.
  • Apply Guardrails and data-governance controls (IAM / ABAC, KMS, private networking) to ensure privacy, PII protection, and compliant operations.
  • Establish observability and reliability frameworks including evaluation pipelines, tracing, cost metrics, fallbacks, and A / B testing.
  • Collaborate with platform and DevOps teams to enable governed AWS landing zones, CI / CD automation, and environment management for AI workloads.
  • Publish architecture blueprints, starter kits, and best-practice guides for AI engineers and developers.
  • Mentor engineering teams and contribute to hiring, training, and AI community enablement initiatives.
  • Research and assess emerging AWS and open-source agentic tools, proposing pragmatic adoption strategies.

    • Required Skills & Experience

  • 8+ years designing and implementing large-scale distributed or cloud systems (including 4+ years on AWS).
  • 2+ years building AI / ML or generative AI solutions in production environments.
  • Hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails) and Claude models.
  • Deep understanding of RAG design, hybrid / vector search (OpenSearch, pgvector), grounding, and citation techniques.
  • Proficiency in Python (preferred) or similar modern programming languages.
  • Solid grasp of AWS orchestration services (Lambda, Step Functions, EventBridge) and CI / CD practices.
  • Applied knowledge of AI governance, security, and observability (IAM, KMS, Guardrails, evaluation, tracing).
  • Excellent communication and architectural documentation skills.

    • Preferred Qualifications

  • Expertise in Agentic AI systems, including multi-agent workflows, tool / function calling, and memory architectures.
  • Experience with LangChain, LangGraph, or similar orchestration frameworks.
  • Advanced prompt design, RAG optimization, and model customization experience.
  • AWS Certifications Solutions Architect (Professional) or Machine Learning Specialty.
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