Reveille Technologies
Reveille Technologies

AI Architect (inperson interview)

Chicago, IL, US • Posted 9 hours ago • Updated 9 hours ago
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • API
  • Artificial Intelligence
  • Autogen
  • Cloud Computing
  • Cost Management
  • Decision Support
  • Enterprise Integration
  • Evaluation
  • Generative Artificial Intelligence (AI)
  • Good Clinical Practice
  • Google Cloud Platform
  • Legal
  • Lifecycle Management
  • MRM
  • Microservices
  • Prompt Engineering
  • Python
  • Microsoft Azure
  • Regulatory Compliance
  • Optimization
  • Orchestration
  • Thought Leadership
  • Scalability
  • Reasoning
  • Testing
  • Risk Management
  • Roadmaps
  • Workflow
  • Semantics
  • Use Cases
  • Vector Databases
  • LoRA
  • QLoRA
  • RAG
  • embeddings
  • vector
  • LangGraph
  • CrewAI
  • Semantic Kernel

Summary

Skills: Core AI & GenAI, Architecture & Design, LLM‑driven workflows, agentic frameworks, API, Cloud Platforms

 

Job Description

 

Business & Stakeholder Leadership

  • Translate business problems into agent‑driven solution blueprints.
  • Partner with senior stakeholders to identify high‑impact use cases (automation, decision support, quality, operations).
  • Provide executive‑level guidance on agentic AI adoption, maturity models, and roadmaps.
  • Support client conversations, RFPs, solution pitches, and thought leadership.

Architecture & Design

  • Define reference architectures for agentic AI systems (single‑agent, multi‑agent, hierarchical, tool‑using agents).
  • Design LLM‑driven workflows integrating reasoning, planning, memory, tools, and human‑in‑the‑loop controls.
  • Architect RAG‑based and tool‑augmented agents using enterprise data sources, APIs, and workflows.
  • Ensure scalability, resilience, observability, and cost optimization of agent platforms.

Governance, Risk & Guardrails

  • Establish AI guardrails covering safety, bias, explainability, auditability, and regulatory compliance.
  • Define agent lifecycle management (design, testing, deployment, monitoring, retirement).
  • Partner with Risk, Legal, Security, and QE teams to ensure model risk management (MRM) and enterprise readiness.
  • Drive standards for agent testing, validation, and certification (functional, non‑functional, and ethical).

Core AI & GenAI

  • Deep expertise in LLMs, prompt engineering, and reasoning frameworks.
  • Hands‑on experience with agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, custom agent orchestration).
  • Strong understanding of RAG, embeddings, vector databases, and knowledge grounding.
  • Experience with fine‑tuning techniques (LoRA / QLoRA) and evaluation strategies.

Architecture & Engineering

  • Strong background in distributed systems, APIs, microservices, and cloud‑native architectures.
  • Proficiency in Python and familiarity with enterprise integration patterns.
  • Experience with cloud platforms (Azure, AWS, Google Cloud Platform) and secure enterprise deployments.
  • Knowledge of observability, monitoring, and cost management for AI systems.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10121364
  • Position Id: 9131921
  • Posted 9 hours ago
Contact the job poster
KR

Kamesh Rajendran

Recruiter @ Reveille Technologies

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