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Ai Executive Assistant Jobs in Decatur, IL (NOW HIRING)

Codvo.ai

Field Service Engineer

Texas, IL · On-site

Perform system upgrades, asset replacements, and device setup/configuration. Assist with new hire setup, onboarding IT tasks, and workspace provisioning. Provide desk side support to VIP/Executive ...

ADM

Internal Audit Assistant Director

Decatur, IL

$151K - $283K/yr

This role partners with executive leadership to evaluate enterprise risks, strengthen governance ... Leverage AI, automation tools and Data Analytics to enhance the quality/effectiveness of the audit ...

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Ai Executive Assistant information

See Decatur, IL salary details

$29.1K

$62.5K

$99.4K

How much do ai executive assistant jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai executive assistant in Decatur, IL is $62,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $72,700.00 per year, depending on experience, location, and employer.

What is an AI Executive Assistant?

An AI Executive Assistant is a digital tool powered by artificial intelligence that helps executives manage their schedules, communications, and administrative tasks. Unlike traditional assistants, AI executive assistants can automatically organize meetings, respond to emails, set reminders, and even analyze data to support decision-making. They are designed to increase productivity by handling routine tasks, allowing executives to focus on more strategic work. Many AI executive assistants integrate with popular business tools and can be customized to fit the unique needs of each executive.

What are the key skills and qualifications needed to thrive as an AI Executive Assistant?

To thrive as an AI Executive Assistant, you need a strong understanding of executive support, time management, and administrative processes, often supported by experience in office management or related fields. Proficiency with AI-driven productivity tools, virtual meeting platforms, calendar management systems, and data organization software is typically required. Exceptional communication, discretion, adaptability, and problem-solving skills help set top performers apart. These skills and qualities ensure efficient support for executives, seamless workflow management, and effective decision-making in fast-paced business environments.

How does an AI Executive Assistant typically coordinate with human executives and other team members to maximize productivity?

An AI Executive Assistant often works closely with human executives by managing schedules, organizing meetings, and handling routine communications, which frees up executives to focus on higher-level tasks. Collaboration with other team members usually involves facilitating information flow, tracking project deadlines, and automating administrative tasks. Success in this role depends on clear communication, adaptability to different work styles, and the ability to integrate seamlessly with digital tools and existing workflows. This position also requires ongoing learning to keep up with evolving AI technologies and best practices.

What cities near Decatur, IL are hiring for Ai Executive Assistant jobs?

Cities near Decatur, IL with the most Ai Executive Assistant job openings:

Ai Executive Assistant jobs near you
Infographic showing various Ai Executive Assistant job openings in Decatur, IL as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $62,520 per year, or $30.1 per hour.

(US) Product Owner - AI products & projects

Codvo.ai

Texas, IL • Remote

Full-time

Re-posted 28 days ago

Job description

Product Owner - AI products & projects
Experience: 6-8 years | Function: Product & Solutioning

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.


 
Role Summary
You will own the vision, roadmap, and delivery of intelligent, AI-native products & solutions that turn complex enterprise workflows into simple, assistive experiences. You'll operate at the intersection of product strategy, applied AI/ML, Generative AI and platform engineering - translating cutting-edge capabilities into measurable business value.

Key Responsibilities
1) Define the Vision & Roadmap
           Own a problem-first roadmap for AI-powered platforms and assistants across priority journeys.
           Comprehensive market research & prioritize use cases with clear value hypotheses (efficiency, revenue, quality) and Revenue Roadmap.
2) UAT first development
           Run structured discovery (persona, journey mapping, workflow time-and-motion).
           Author detailed UAT document for each feature with detailed acceptance criteria, test cases and evaluation metrics.
3) Product Leadership
           Lead backlog, sprint goals, and release planning with AI/ML, data, and platform engineering.
           Manage dependencies (data readiness, NFRs, MLOps, security, integrations) and unblock teams rapidly.
4) Measure, Learn, Iterate
           Define north-star & guardrail metrics: accuracy, latency, cost per request, containment, adoption, and satisfaction.
           Drive experimentation (A/B), prompt/model iterations, UX refinements, and policy updates.
5) Bridge Business & Technology
           Translate model behavior and system constraints into business-speak (value, risk, ROI).
           Create readable artifacts: PR/FAQ, release notes, change logs, and exec updates.
6) Safety, Compliance & Observability
           Partner with Security/Legal to enforce PII/PHI handling, data residency, SOC2/ISO controls.
           Ensure traceability (prompt versioning, dataset lineage, evaluation reports) and human-in-the-loop in product thinking wherever needed.

Must-Have Qualifications
           2+ years building or shipping AI/ML/GenAI products & solutions (NLP, RAG/semantic search, recommendations, predictive, or automation).
           Practical exposure to LLMs, vector databases, prompt engineering, and cloud AI services (well familiar with Azure OpenAI, AWS Bedrock, GCP Vertex).
           Proven agile delivery using Jira/ Confluence/ Azure DevOps; design collaboration in Figma.
           Strong systems thinking with the ability to simplify complex workflows.
           Strong academic background + MBA (Tier-1) engineering/CS preferred.
 
Nice to Have
           Experience with agentic systems (tool-use, function calling, planners), prompt orchestration, and knowledge retrieval frameworks.
           Familiarity with enterprise integrations, APIs, and event-driven architectures.
           Understanding of MLOps/LLMOps (evaluation harnesses, offline/online tests, drift monitoring, canary releases).

Familiarity with Skills & Tools 
           Product: Roadmapping, PRD/PR-FAQ, OKRs, KPI design, experimentation.
           AI/Tech: RAG patterns, embeddings, retrieval tuning, prompt/policy design, latency/cost trade-offs.
           Governance: Prompt/version control, LLMOps, evaluation dashboards.
           Collab: Azure DevOps, Figma, Lucidchart, PPT, Excel, Word, Git.


Employment Type: FULL_TIME

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