Job Description
Job Description
Benefits :
- Oppurtunity for Advancement
- Long Term
- Competitive salary
AI Architect Agentic & Generative AI
Dallas, Tx ( Onsite )
Interview : In-Person
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.