

Centraprise
Data Analytics & AI Consultant
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analytics & AI Consultant in Chicago, IL or Denver, CO, lasting 12+ months at an hourly pay rate. Requires 10+ years in data analytics, 2+ years in Generative and Agentic AI, and expertise in cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 1, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Chicago, IL
-
🧠 - Skills detailed
#Libraries #Azure #NLP (Natural Language Processing) #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Scala #Snowflake #GCP (Google Cloud Platform) #Airflow #Consulting #Security #dbt (data build tool) #Databricks #MLflow #Hugging Face #Data Engineering #ML (Machine Learning) #Cloud #Langchain #Python
Role description
Job Title: Data Analytics & AI Consultant (Generative AI & Agentic AI Focus)
Location: Chicago, IL / Denver, CO (Onsite Role)
Duration: 12+ Months Contract
About the Role:
We are seeking a strategic, technically proficient Data, Analytics, and AI Consultant with deep expertise in Generative AI, Agentic AI, and modern cloud-based data platforms. You will be responsible for engaging with clients to understand their business challenges, framing and validating business use cases, designing and engineering end-to-end solutions, and delivering measurable business impact through Data, Analytics, and AI initiatives.
Key Responsibilities:
• Client Engagement & Business Understanding
• Collaborate with business stakeholders to understand their strategic goals, challenges, and opportunities.
• Identify and prioritize use cases where Data, Analytics, and AI can drive tangible business value.
• Translate complex business problems into structured, data-driven solutions.
Solution Design & Architecture
• Design end-to-end solution approaches involving Data Engineering, Advanced Analytics, and AI (including Generative and Agentic AI components).
• Define measurable success criteria, KPIs, and expected business outcomes.
• Architect scalable, secure, and cloud-native solutions using modern data and AI platforms (AWS, Azure, GCP, etc.).
• Integrate traditional analytics and machine learning approaches with emerging Generative and Agentic AI capabilities.
Engineering & Delivery
• Lead the engineering and development of AI/ML and analytics solutions, ensuring scalability, robustness, and security.
• Collaborate with data engineers, ML engineers, and software developers to implement production-grade solutions.
• Implement prompt engineering, fine-tuning, RAG pipelines, agents and orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, etc.) as needed.
Client Communication & Reporting
• Present solution approaches, technical architectures, and progress updates to clients in a clear and business-aligned manner.
• Provide periodic updates, demos, and post-delivery support as required.
Required Qualifications:
• 10+ years of experience in data analytics and AI solutioning, including 2+ years in Generative AI and Agentic AI.
• Proven experience in client-facing consulting roles, driving business discovery and technical delivery.
• Expertise in AI/ML, NLP, LLMs (OpenAI, Anthropic, Mistral, LLaMA, etc.), and orchestration tools.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools (e.g., Snowflake, Databricks, Airflow, dbt).
• Proficiency in Python and relevant AI/ML libraries (e.g., Hugging Face, LangChain, OpenAI SDKs).
• Strong knowledge of solution architecture, security, scalability, and integration patterns.
• Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications:
• Experience with agent frameworks (e.g., CrewAI, AutoGen, LangGraph, Lang Chain, Strands).
• Familiarity with MLOps practices and tools (e.g., Sage MakerMLflow, Vertex AI, Azure ML).
• Experience in regulated industries (finance, healthcare, etc.) is a plus.
• Certifications in cloud, data engineering, or AI/ML (e.g., AWS ML Specialty, Azure AI Engineer).
Please Note: Centraprise is an equal opportunity employer. Applicants must be authorized to work in the U.S.
U.S. citizens and Green Card holders are strongly encouraged to apply.
Job Title: Data Analytics & AI Consultant (Generative AI & Agentic AI Focus)
Location: Chicago, IL / Denver, CO (Onsite Role)
Duration: 12+ Months Contract
About the Role:
We are seeking a strategic, technically proficient Data, Analytics, and AI Consultant with deep expertise in Generative AI, Agentic AI, and modern cloud-based data platforms. You will be responsible for engaging with clients to understand their business challenges, framing and validating business use cases, designing and engineering end-to-end solutions, and delivering measurable business impact through Data, Analytics, and AI initiatives.
Key Responsibilities:
• Client Engagement & Business Understanding
• Collaborate with business stakeholders to understand their strategic goals, challenges, and opportunities.
• Identify and prioritize use cases where Data, Analytics, and AI can drive tangible business value.
• Translate complex business problems into structured, data-driven solutions.
Solution Design & Architecture
• Design end-to-end solution approaches involving Data Engineering, Advanced Analytics, and AI (including Generative and Agentic AI components).
• Define measurable success criteria, KPIs, and expected business outcomes.
• Architect scalable, secure, and cloud-native solutions using modern data and AI platforms (AWS, Azure, GCP, etc.).
• Integrate traditional analytics and machine learning approaches with emerging Generative and Agentic AI capabilities.
Engineering & Delivery
• Lead the engineering and development of AI/ML and analytics solutions, ensuring scalability, robustness, and security.
• Collaborate with data engineers, ML engineers, and software developers to implement production-grade solutions.
• Implement prompt engineering, fine-tuning, RAG pipelines, agents and orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen, etc.) as needed.
Client Communication & Reporting
• Present solution approaches, technical architectures, and progress updates to clients in a clear and business-aligned manner.
• Provide periodic updates, demos, and post-delivery support as required.
Required Qualifications:
• 10+ years of experience in data analytics and AI solutioning, including 2+ years in Generative AI and Agentic AI.
• Proven experience in client-facing consulting roles, driving business discovery and technical delivery.
• Expertise in AI/ML, NLP, LLMs (OpenAI, Anthropic, Mistral, LLaMA, etc.), and orchestration tools.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools (e.g., Snowflake, Databricks, Airflow, dbt).
• Proficiency in Python and relevant AI/ML libraries (e.g., Hugging Face, LangChain, OpenAI SDKs).
• Strong knowledge of solution architecture, security, scalability, and integration patterns.
• Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications:
• Experience with agent frameworks (e.g., CrewAI, AutoGen, LangGraph, Lang Chain, Strands).
• Familiarity with MLOps practices and tools (e.g., Sage MakerMLflow, Vertex AI, Azure ML).
• Experience in regulated industries (finance, healthcare, etc.) is a plus.
• Certifications in cloud, data engineering, or AI/ML (e.g., AWS ML Specialty, Azure AI Engineer).
Please Note: Centraprise is an equal opportunity employer. Applicants must be authorized to work in the U.S.
U.S. citizens and Green Card holders are strongly encouraged to apply.






