Start searching
Back to Jobs
Recently postedTechnology

AI Architect

Augusta Hitech Soft Solutions LLCUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
Stakeholder ManagementMicroservicesLLMPythonTerraformGenerative AIAzureKubernetesPrompt EngineeringCI/CDRAGSystem Design

Job description

AI Architecture & Solution Delivery
  • Architect and deliver end-to-end AI, Generative AI, and agentic AI solutions from concept through production
  • Apply hands-on expertise to build LLM-based systems, RAG pipelines, AI agents, and multi-agent orchestration solutions
  • Design AI platform capabilities including model selection, LLM routing, retrieval strategies, memory systems, and tool/function orchestration
  • Lead hands-on prototyping and proof-of-concepts to validate technologies and accelerate adoption
  • Ensure AI solutions are designed for performance, scalability, observability, privacy, and operational readiness
  • Define and drive architecture across multiple domains/business segments, ensuring alignment with enterprise strategy
  • Partner with business and technology leadership to shape AI roadmap, priorities, and execution strategy
  • Establish and promote architecture standards, reusable patterns, and best practices
  • Drive modernization initiatives to reduce technical debt and improve scalability, resilience, and performance
  • Implement and guide AI governance, security, responsible AI, and compliance practices
  • Ensure AI solutions are designed for performance, observability, privacy, and operational readiness
  • Collaborate across engineering, data, product, and business teams to deliver production-grade AI solutions
  • Mentor engineers and architects and effectively communicate AI concepts to technical and non-technical stakeholders
Leadership & Collaboration
  • Partner with business and technology leadership to define AI strategy, roadmap, and execution priorities.
  • Establish and promote architecture standards, reusable patterns, and best practices.
  • Mentor architects and engineers; build internal capability for AI solution delivery.
  • Communicate complex AI concepts effectively to both technical and non-technical stakeholders.
  • Leads adoption of AI-enabled tools within the team, ensuring effective integration into workflows. Coaches employees on appropriate usage, monitors impact on productivity and quality and identifies opportunities for process improvement.
  • Demonstrates a customer-first mindset by developing a broad and deep (where appropriate) understanding of Paradigm organization, products, operations, and customers. Prioritizes collaboration to meet customer needs and expectations and takes personal accountability for service quality.
Technology Strategy & Innovation
  • Continuously evaluate the evolving AI landscape (LLMs, agents, frameworks, tools).
  • Translate emerging technologies into practical enterprise use cases and capabilities.
  • Drive modernization initiatives to improve scalability, resilience, and performance.
QUALIFICATIONS:
  • 10+ years of experience in software engineering, architecture, and enterprise system design.
  • Proven experience delivering end-to-end AI/ML and Generative AI solutions in production environments.
  • Strong hands-on engineering capability with ability to operate across architecture, design, and implementation.
  • Deep expertise in LLMs, prompt engineering, RAG, embeddings, vector databases, and agent-based systems
  • Experience with agent frameworks and orchestration including multi-agent patterns and integrations
  • Strong programming experience in Python and building APIs, microservices, and distributed systems.
  • Experience designing and implementing solutions on cloud platforms (Azure preferred).
  • Experience with DevOps practices, including CI/CD, containerization, and scalable deployment of AI systems.
  • Familiarity with infrastructure-as-code (Terraform, Bicep) and Kubernetes-based deployments.
  • Strong understanding of data architecture and integration patterns supporting AI workloads.
  • Ability to evaluate emerging technologies and translate them into enterprise-scale capabilities
  • Solid knowledge of AI governance, risk, compliance, privacy, and responsible AI principles
  • Strong communication and stakeholder management skills.
  • Ability to influence decisions across engineering, data, and business teams.
  • Proven ability to mentor, guide, and elevate engineering and architecture teams.
  • Master’s or Bachelor’s degree in Computer Science, Engineering, Data Science, or a related STEM field.

Similar jobs

Apply