NEWPosted 2 hours ago

Job ID: JOB_ID_4864

Role Summary:

The AI architect will define end-to-end agent frameworks, ensure alignment with available enterprise environment, guardrails, and partner closely with engineering, QE, security, and compliance teams.

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 finetuning 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, GCP) and secure enterprise deployments.
  • Knowledge of observability, monitoring, and cost management for AI systems.

Compensation & Location

Salary: $80 – $100 per year (Estimated)

Location: Chicago, IL

Recruiter / Company – Contact Information

Email: g@vbeyond.com

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