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Contract Ai Implementation Jobs in Connecticut (NOW HIRING)

Edge Global

Program Manager Gen AI

Hartford, CT · On-site

Contract JD:- * Technical Program Manager AI Center of Enablement Position Overview Seeking a ... driving the successful implementation of AI initiatives across the organization Key ...

Staffingine LLC

Generative AI Architect

Orange, CT · On-site

Contract * ideate/originate AI Use Cases within the organization. * Act as a strategic consultant ... implementation plan. * Conduct in-depth feasibility assessments of AI use cases, evaluating ...

Staffingine LLC

Sr .Net Developer with Azure AI

Hartford, CT · On-site

$55.50 - $68.75/hr

Contract * Design and implement fullstack solutions using .NET Azure and modern cloud native patterns * Integrate Azure AI services eg Azure OpenAI AI Foundry into enterprise applications * Ensure ...

Staffingine LLC

Sr .Net Developer with Azure AI

Hartford, CT · On-site

$55.50 - $68.75/hr

Contract Responsibilities · Design and implement fullstack solutions using .NET Azure and modern cloud native patterns · Integrate Azure AI services eg Azure OpenAI AI Foundry into enterprise ...

TEKsystems

Conversational AI Product Manager

Stamford, CT · Hybrid

$65 - $80/hr

... implement chat updates required by product launches, offer changes, and promotional campaigns. · ... in a contract environment Business Drivers: Increase sales conversion through conversational ...

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Contract Ai Implementation information

What is a contract AI implementation specialist?

A Contract AI Implementation specialist is a professional who helps organizations integrate artificial intelligence solutions into their contract management processes. This role involves assessing business needs, selecting appropriate AI technologies, and overseeing the deployment of tools that automate tasks like contract analysis, risk assessment, and compliance monitoring. The specialist ensures that the AI system aligns with legal standards and company policies while streamlining workflows and improving efficiency. They often collaborate with legal, IT, and procurement teams to ensure a smooth transition and optimal use of AI in managing contracts.

What are the key skills and qualifications needed to thrive as a contract AI implementation specialist?

To thrive as a Contract AI Implementation Specialist, you need expertise in AI concepts, contract management, and a relevant technical or business degree, often with experience in legal tech or AI deployment. Familiarity with tools such as contract lifecycle management (CLM) platforms, machine learning frameworks, and data integration systems is typically required. Strong problem-solving, communication, and project management skills help you collaborate across legal, IT, and business teams. These skills ensure successful AI-driven contract solutions that streamline workflows, minimize risk, and deliver business value.

What are some common challenges faced by professionals in contract AI implementation roles, and how can they be addressed?

Professionals working in Contract AI Implementation often encounter challenges such as integrating AI solutions with existing contract management systems, ensuring data privacy and security, and managing change within the organization. To address these, it's important to work closely with IT and legal teams, prioritize stakeholder communication, and provide comprehensive training to end-users. Staying up to date with evolving AI technologies and regulatory requirements also helps in proactively identifying and mitigating risks during implementation.

What is the difference between Contract Ai Implementation vs Data Scientist?

AspectContract Ai ImplementationData Scientist
Required CredentialsTypically requires AI/ML certifications, programming skills, and project management experienceRequires degrees in data science, statistics, or related fields, often with advanced degrees
Work EnvironmentProject-based, client-focused, often freelance or consulting rolesFull-time or research roles within organizations or academia
Industry UsageUsed across various industries for specific AI projectsApplied in data analysis, research, and model development within organizations

Contract Ai Implementation professionals focus on delivering AI solutions on a project basis, often working with clients and requiring specific certifications. Data Scientists typically work within organizations, conducting research and developing models, often with advanced degrees. Both roles overlap in technical skills but differ in work setting and scope.

What are popular job titles related to Contract Ai Implementation jobs in Connecticut?

For Contract Ai Implementation jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Contract Ai Implementation jobs in Connecticut look for?

The top searched job categories for Contract Ai Implementation jobs in Connecticut are:

What cities in Connecticut are hiring for Contract Ai Implementation jobs?

Cities in Connecticut with the most Contract Ai Implementation job openings:

Contract Ai Implementation jobs near you
Infographic showing various Contract Ai Implementation job openings in Connecticut as of August 2026, with employment types broken down into 65% Full Time, 6% Part Time, 9% Temporary, and 20% Contract. Highlights an 70% In-person, and 30% Remote job distribution.

Program Manager Gen AI

Edge Global

Hartford, CT • On-site

Other

Re-posted 12 days ago

Job description

Position: Program Manager Gen AI

Location: : Hartford CT (5 days in a week)

Job type: Contract

JD:-

  • Technical Program Manager AI Center of Enablement Position Overview Seeking a highly skilled and experienced Technical Program Manager for AI Center of Enablement The ideal candidate will work closely with various departments to manage the execution of proposed AI experiments and use cases This role involves analyzing the value delivered by AI use cases ensuring architecture reviews are conducted delivery checklists are followed and AI guardrails are metThe Technical Program Manager will play a critical role in driving the successful implementation of AI initiatives across the organization Key Responsibilities AI Use Case Analysis Analyze the value delivered by AI use cases assessing both quantitative and qualitative benefits Work with finance controllers to validate the financial value calculations of AI use cases Provide regular reports and updates to stakeholders on the performance and outcomes of AI projects Architecture Review Ensure that all AI projects undergo thorough architecture reviews to validate technical feasibility and alignment with best practices Collaborate with architects and technical leads to identify and address potential risks and challenges in AI implementations Maintain documentation of architecture review findings and recommendations for continuous improvement Delivery Management Oversee the execution and delivery of AI projects ensuring adherence to project timelines budgets and quality standards Implement and enforce delivery checklists to ensure all critical steps and requirements are met Coordinate with cross functional teams including data scientists engineers and product managers to ensure successful project delivery AI Governance Ensure that all AI projects comply with established AI guardrails including ethical guidelines data privacy and security standards Implement monitoring and auditing mechanisms to track compliance with AI governance policies Develop and maintain documentation for AI governance including model validation testing and deployment protocols AI Model Capacity Management Manage the capacity and scalability of AI models to ensure optimal performance and resource utilization Monitor and forecast AI model capacity needs adjusting as necessary to meet project demands Collaborate with infrastructure and operations teams to ensure the AI platform can support current and future model requirements Stakeholder Collaboration Facilitate effective communication and collaboration among cross functional teams and stakeholders Conduct regular meetings and workshops to gather feedback address concerns and ensure alignment on project goals and priorities Act as a liaison between business units and technical teams translating business requirements into technical specifications Continuous Improvement Identify opportunities for process improvements and efficiencies in AI project management and delivery Stay up to date with the latest advancements in AI technology and best practices continuously seeking ways to enhance the AI Center of Enablement Foster a culture of innovation and continuous learning within the team encouraging the exploration of new technologies and methodologies Value Calculation Financial Validation Collaborate with finance controllers to validate the financial value calculations of AI use cases Ensure accurate and transparent reporting of the financial impact of AI projects