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Contract Ai Implementation Jobs in Indiana (NOW HIRING)

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

Automate the ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) to ... Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols ...

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

Automate the ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) to ... Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols ...

AI Data Architect

Winamac, IN · On-site

$58.75 - $75.50/hr

... manuals, contracts, emails) to enable highly accurate Retrieval-Augmented Generation (RAG ... implement strict Role-Based Access Control (RBAC) and enterprise security protocols within the AI ...

*This position is contingent upon contract award* Amentum is seeking an AI Modeling Specialist ... Experience implementing data standardization, ontology, or schema alignment frameworks for ...

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Contract Ai Implementation information

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 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, and why are they important?

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 are the most commonly searched types of Ai Implementation jobs in Indiana? The most popular types of Ai Implementation jobs in Indiana are:
What are popular job titles related to Contract Ai Implementation jobs in Indiana? For Contract Ai Implementation jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Contract Ai Implementation jobs? Cities in Indiana with the most Contract Ai Implementation job openings:
Infographic showing various Contract Ai Implementation job openings in Indiana as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.
AI Data Architect

AI Data Architect

Braunability

Winamac, IN • On-site

$58.75 - $75.50/hr

Full-time

Posted 5 days ago


BraunAbility rating

6.5

Company rating: 6.5 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

358th of 433 rated machine equipment manufacturers


Job description

Job Description:

Essential Functions:

  • Data Pipelining & Infrastructure

  • Build,optimize, andmaintainthe data pipelines that feed BAA's AI solutions, connecting both structured and unstructured data from enterprise data lakes (Snowflake), ERP systems (Epicor), CRM (Salesforce), and document repositories (SharePoint).

  • Automate the ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) to enable highlyaccurateRetrieval-Augmented Generation (RAG) architectures.

  • Map complex enterprise data schemas toidentifythe exact tables, fields, and payloadsrequiredto support the cognitive architecture designed by the AI Studio Lead.

  • Build andmaintaindevelopment and testing environments that allow the Studio to experiment rapidly without risking production systems.

  • Security, Governance & Compliance

  • Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols within the AI environment - ensuring AI agents onlyquery dataexplicitly authorizedforthe specific end-user.

  • Prevent data leakage across departments by structurally constraining what each AI model can access at the pipeline level, not just the application level.

  • Serve as the formal infrastructure checkpoint before cognitive architecture developmentbegins - confirming pipeline stability, RBAC compliance, and data integrity prior to any build phase commencing.

  • Monitor data flows for system drift, broken APIs, or context collapse, ensuring AIoutputsremainaccurateand safe for both office and factory floor operations.

  • Establish andmaintainService Level Agreements (SLAs) for pipeline uptime - detecting and communicating failures before end-users areimpacted.

  • Platform Integration & IT Liaison

  • Develop secure API integrations between enterprise AI platforms and BAA's existing technology stack.

  • Serve as the primary technical liaison to BAA IT and Global Data Architecture, ensuring infrastructure provisioning, database access, and cloud networking meet enterprise standards.

  • Advocate for the AI Studio's technical needs within the broader IT governance ecosystem.

  • Implement automated alerting systems for data pipeline failures.

Knowledge, Skills, Abilities:

  • Deep technicalexpertiseworking with SQL, enterprise data lakes, and ETL/ELT pipeline construction.

  • Strongproficiencyin building and securing API integrations between disparate cloud andon-premisessystems.

  • Experience implementing strict security frameworks and Role-Based Access Controls (RBAC)atthe database and application layer.

  • Exceptional troubleshooting and debugging skills - able to independently diagnose integration issues across legacy platforms without waiting for vendor support.

  • Comfortoperatingin a small, fast-moving team where you own entire workstreams end-to-end without layers of specialization or handoffs.

MinimumRequirements:

  • Bachelor's degree and minimum of6years of related work experiencerequired.

  • An equivalent combination of education and/or related work experience equal to10years will also be considered.

  • 3+ years of experience in data engineering, data architecture, or database administration within an enterprise environment.

BraunAbility is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


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