AI Architect Jobs in Chicago, IL
AI Architect jobs in Chicago are concentrated in the Loop, River North, and Fulton Market across financial services, healthcare technology, and enterprise software, with demand running strong across Fortune 500 headquarters and fast-growing technology firms. Employers hiring right now include Avanade, Huron Consulting, and VeeRteq Solutions. See the openings below and apply to the ones that match your experience.
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Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.
Join our team as the expert you are now and create your future.
Responsibilities:
- Build and operate approved model-access patterns for governed AI usage, including Amazon Bedrock where applicable.
- Build infrastructure as code, deployment automation, CI/CD templates, and reusable platform components.
- Implement usage telemetry, token reporting, model usage reporting, user attribution, project attribution, quotas, and cost-management data pipelines.
- Deploy and operate approved sandbox patterns for coding agents and tool-using agents.
- Build governed tool/service mediation patterns for AI applications and agents, including MCP or equivalent approaches where applicable.
- Implement logging, monitoring, alerting, audit evidence capture, and operational reporting for onboarded workloads.
- Build onboarding templates and reference implementations that Client-facing AI Delivery, Enterprise IT, Global Products, analytics, consulting, engineering, and internal operations teams can reuse.
- Use AI tools hands-on to accelerate infrastructure coding, automation, debugging, test creation, documentation, and runbook development.
- Help define runbooks, support models, incident paths, and operational handoffs.
Required Qualifications
- 6+ years of experience building and operating production cloud or platform infrastructure, including hands-on experience with AWS, infrastructure as code, automation, or production operations.
- Strong infrastructure as code experience.
- Experience with cloud networking, IAM, secrets management, logging, monitoring, deployment automation, and operational support.
- Strong software engineering or scripting skills for automation and platform tooling.
- Demonstrated ability to use AI tools as a practical system-building accelerator for infrastructure automation, code generation, debugging, testing, or documentation.
- Familiarity with APIs, event-driven systems, service integration, and secure deployment patterns.
- Ability to work in ambiguous environments and convert platform requirements into working systems.
Preferred Qualifications
- Experience with Amazon Bedrock or other managed AI/model platforms.
- Experience with token/cost telemetry, usage attribution, chargeback, showback, or FinOps data pipelines.
- Experience with Temporal or comparable workflow orchestration platforms for durable infrastructure automation, agent workflows, or operational processes.
- Experience with containerized or sandboxed execution environments.
- Experience with agent tools, MCP, model gateways, API gateways, or secure service broker patterns.
- Experience supporting regulated, client-confidential, PHI, PII, or sensitive workloads.
Flexible living locations across the US. Ability to travel as needed.
The estimated base salary for this job is $175,000 - $245,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $201,000 - $306,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
Position Level
Senior ManagerCountry
United States of AmericaHuron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.
Join our team as the expert you are now and create your future.
Responsibilities:
- Build and operate approved model-access patterns for governed AI usage, including Amazon Bedrock where applicable.
- Build infrastructure as code, deployment automation, CI/CD templates, and reusable platform components.
- Implement usage telemetry, token reporting, model usage reporting, user attribution, project attribution, quotas, and cost-management data pipelines.
- Deploy and operate approved sandbox patterns for coding agents and tool-using agents.
- Build governed tool/service mediation patterns for AI applications and agents, including MCP or equivalent approaches where applicable.
- Implement logging, monitoring, alerting, audit evidence capture, and operational reporting for onboarded workloads.
- Build onboarding templates and reference implementations that Client-facing AI Delivery, Enterprise IT, Global Products, analytics, consulting, engineering, and internal operations teams can reuse.
- Use AI tools hands-on to accelerate infrastructure coding, automation, debugging, test creation, documentation, and runbook development.
- Help define runbooks, support models, incident paths, and operational handoffs.
Required Qualifications
- 6+ years of experience building and operating production cloud or platform infrastructure, including hands-on experience with AWS, infrastructure as code, automation, or production operations.
- Strong infrastructure as code experience.
- Experience with cloud networking, IAM, secrets management, logging, monitoring, deployment automation, and operational support.
- Strong software engineering or scripting skills for automation and platform tooling.
- Demonstrated ability to use AI tools as a practical system-building accelerator for infrastructure automation, code generation, debugging, testing, or documentation.
- Familiarity with APIs, event-driven systems, service integration, and secure deployment patterns.
- Ability to work in ambiguous environments and convert platform requirements into working systems.
Preferred Qualifications
- Experience with Amazon Bedrock or other managed AI/model platforms.
- Experience with token/cost telemetry, usage attribution, chargeback, showback, or FinOps data pipelines.
- Experience with Temporal or comparable workflow orchestration platforms for durable infrastructure automation, agent workflows, or operational processes.
- Experience with containerized or sandboxed execution environments.
- Experience with agent tools, MCP, model gateways, API gateways, or secure service broker patterns.
- Experience supporting regulated, client-confidential, PHI, PII, or sensitive workloads.
Flexible living locations across the US. Ability to travel as needed.
The estimated base salary for this job is $175,000 - $245,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $201,000 - $306,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
Position Level
Senior ManagerCountry
United States of AmericaSee All 44 AI Architect Jobs in Chicago
Find roles in Chicago that match your experience and apply in just a few clicks.
Find AI Architect JobsAI Architect Job Market in Chicago
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Healthcare & Medical Services
AI Architect Jobs in Chicago: Frequently Asked Questions
How do I get a ai architect job in Chicago?
Focus your search on Chicago's Loop and Fulton Market districts, where financial services firms, management consultancies, and enterprise software companies hire most actively. Hands-on experience designing large-scale AI systems, ML pipelines, or LLM integrations gives you a clear edge in this market. Candidates who can speak to governance, responsible AI frameworks, and cloud-native deployment tend to move faster through interviews at Chicago's large institutional employers.
Which companies hire ai architects in Chicago?
Chicago ai architect roles are posted by Avanade, Huron Consulting, and VeeRteq Solutions and others right now, based on current listings on Migrate Mate as of September 2026. Chicago's hiring base is unusually diverse, mixing global financial institutions, major healthcare systems, logistics companies, and a growing cluster of AI-native startups anchored in the Fulton Market corridor.
Are there remote ai architect jobs in Chicago?
Yes, though availability varies since ai architect work often requires close collaboration with engineering and product teams. About 93% of ai architect openings tied to Chicago are remote or hybrid as of September 2026, reflecting broader technology sector norms in the city. Strategic architecture and design phases tend to offer the most remote flexibility, while hands-on model deployment and stakeholder alignment work typically draws teams back on-site.
How can I get a ai architect job in Chicago with little or no experience?
The most realistic entry path in Chicago is moving through a machine learning engineer or senior data scientist role at one of the city's large technology employers or financial institutions, then transitioning into architecture as you take on system-design responsibilities. Chicago consulting firms also bring in associate architects through structured technical tracks. Building a portfolio that demonstrates end-to-end system thinking, even on open-source or volunteer projects, matters more to most Chicago hiring managers than credentials alone.
Which industries hire the most ai architects in Chicago?
Most ai architect openings in Chicago sit in Consulting & Professional Services and Healthcare & Medical Services, per current listings on Migrate Mate as of September 2026. Chicago's position as a global hub for commodities trading, healthcare administration, and logistics gives those sectors an outsized appetite for AI talent compared to most other U.S. cities.
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