Principal Digital Architect

SMX Services and Consulting, Inc.

• $130K — $180K *
Chicago, IL 60629In-Person
Information Technology
8 - 10 years of experience
Yesterday
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Job Overview by Ladders

Qualifications

  • 10+ years of overall IT experience
  • 5+ years of architecture experience
  • Bachelor's degree required
  • Strong consulting skills with active LinkedIn profile
  • Local to Chicago or Peoria, IL only

Responsibilities

  • Lead the design of scalable, enterprise-grade AI architectures
  • Influence cross-functional teams through technical leadership
  • Conduct thorough requirements analysis to translate business needs into technical solutions
  • Communicate effectively with both technical and business stakeholders
  • Optimize AI systems for performance, latency, security, and integration

Benefits

  • Opportunities for professional growth and development
  • Engage in cutting-edge AI technology and architecture
  • Collaborate with skilled professionals in a dynamic environment
  • Flexible working arrangements
  • Local community involvement and networking opportunities
Full Job Description
Role:Principal Digital Architect

Loc: Chicago or Peoria, IL (Local candidates only).

Candidate Requirements:
  • 10+ years of overall IT experience
  • Strong experience matching the required AI and Digital Architecture skill set listed below
  • Bachelor's degree required
  • Genuine consultants only with an active LinkedIn profile that aligns with the resume
  • Local to Chicago or Peoria, IL only


Required Skills
  • 5+ years of architecture experience
  • Strong architectural thinking with the ability to design scalable, enterprise-grade solutions and articulate trade-offs
  • Technical leadership with the ability to influence cross-functional teams
  • Excellent communication skills with both technical and business stakeholders
  • Expertise in requirements analysis and translating business needs into technical architecture
  • Strong foundation in platform and application architecture


AI & GenAI Expertise
  • Hands-on experience designing Retrieval-Augmented Generation (RAG) architectures, including:
  • Data ingestion pipelines
  • Document preprocessing and chunking
  • Embedding models and vectorization
  • Query-time retrieval, ranking, and context assembly
  • Experience with vector databases, similarity search, and embedding optimization
  • Experience with Agentic AI frameworks
  • Ability to architect end-to-end AI workflows, including prompt engineering, context management, model routing, and fallback strategies
  • Strong understanding of LLM lifecycle, including model selection, RAG vs. fine-tuning, evaluation, monitoring, and drift detection
  • Experience optimizing AI systems for performance, latency, cost, security, privacy, and enterprise integration


Preferred Skills
  • AI reference architecture and enterprise AI standards
  • Production implementation of AI solutions from PoC to enterprise scale
  • Strong programming skills in Python and Java
  • Enterprise-scale distributed systems
  • AWS, Docker, Kubernetes
  • Snowflake, SQL/NoSQL, data architecture
  • DevOps, CI/CD, Infrastructure as Code, observability
  • API design (REST, GraphQL, gRPC)
* Ladders Estimates

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