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Llm Jobs in Indiana (NOW HIRING)

Blue Cross of Idaho

AI Technical Lead

Carmel, IN · On-site

$118.51 - $177.76/hr

Design and implement AI‑powered applications including large language model (LLM) systems and retrieval‑based knowledge applications. Define architecture patterns that support experimentation ...

New

Samba

Data Scientist

Warsaw, IN · On-site

$47.48 - $87.05/hr

RAG systems, LLM-augmented models, vector databases, and semantic search * Strong communicator -- able to translate technical work into clear documentation, user stories, and cross-functional ...

Parloa

Senior Agent Architect

Florence, IN · On-site

Use your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design prompts for reliable, user-aligned agent behavior. * Translate complex customer workflows into ...

Fluence

$51.75 - $68.50/hr

Evaluate new LLM and agent capabilities continuously and translate them into practical, governed, high-value business improvements * Collaborate with IT on security review, data access governance ...

Deloitte

Google AI Architect

Indianapolis, IN · On-site

LLM and AI Integration: Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and ...

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How much do llm jobs pay per year?

As of Sep 2, 2026, the average yearly pay for llm in Indiana is $137,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $151,500.00 per year, depending on experience, location, and employer.

What is an LLM?

LLMs, or Large Language Models, are advanced artificial intelligence systems designed to understand and generate human-like text based on vast amounts of data. These models, such as OpenAI's GPT series, are trained on diverse datasets and can perform a range of tasks, including answering questions, writing content, translating languages, and more. LLMs work by predicting the next word in a sequence, allowing them to create coherent and contextually relevant responses. They are widely used in applications like chatbots, virtual assistants, and automated content generation.

What are the key skills and qualifications needed to thrive as an LL.M. graduate?

To thrive as an LLM graduate, you need advanced knowledge of legal principles, strong research and analytical skills, and a prior law degree such as an LLB or JD. Familiarity with legal databases, research tools like Westlaw or LexisNexis, and sometimes bar admission or certification in specific jurisdictions is advantageous. Exceptional written and verbal communication, attention to detail, and cross-cultural competence are standout soft skills in this field. These abilities are crucial for interpreting complex legal issues, advising clients, and succeeding in global or specialized legal practice.

What are some common challenges faced by professionals working with large language models and how can they be addressed?

Professionals working with large language models often encounter challenges such as managing computational resource demands, ensuring data privacy, and mitigating biases in model outputs. Collaboration with data engineers and IT teams is essential to optimize infrastructure and streamline model deployment. Staying updated on best practices and regulatory guidelines helps address ethical concerns and improve model performance. Continuous monitoring and iteration are key to maintaining accuracy and relevance in real-world applications.

What is the difference between Llm vs Paralegal?

AspectLlmParalegal
Required CredentialsLaw degree (JD or equivalent), possibly an LLM for specializationAssociate's degree or certificate in paralegal studies
Work EnvironmentLaw firms, corporate legal departments, academiaLaw firms, corporate legal departments, government agencies
Industry UsageLegal practice, academia, researchLegal support, case preparation, client communication

The main difference is that an Llm is an advanced law degree for specialization or academic purposes, while a paralegal provides legal support and case assistance without being licensed to practice law. Both roles work closely within legal environments, but the Llm is more focused on legal expertise and research, whereas paralegals handle administrative and preparatory tasks.

What jobs can I do with a large language model?

A large language model (LLM) can be used in roles such as AI researcher, NLP engineer, data scientist, or machine learning engineer, focusing on developing and deploying AI applications. These jobs typically require skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch.

Which large language model is most in demand?

The most in-demand large language models for jobs like LLM development and deployment are OpenAI's GPT-4 and GPT-3, as well as Google's PaLM and Meta's LLaMA. Skills in fine-tuning, prompt engineering, and understanding these models are highly sought after in the AI industry.
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Llm jobs near you
Infographic showing various Llm job openings in Indiana as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $137,211 per year, or $66 per hour.

AI Administrator, IT Shared Services

The Heritage Group

Indianapolis, IN

Full-time

Re-posted 25 days ago

Job description

About The Heritage Group

The Heritage Group is a fourth-generation, family-owned business focused on construction and materials, environmental services and specialty chemicals. Over the last 90+ years, the Heritage portfolio has grown to include more than 50 companies that employ more than 6,000 people. What unites this diverse group of businesses and individuals is our commitment to create a safer, more enriching, and sustainable world by harnessing the power of family.


The AI Administrator is the enterprise owner for approved AI platforms and services. Operating within the ITSS Digital Productivity & Collaboration team, this role administers and governs Microsoft 365 Copilot, Copilot Studio, Azure AI, Microsoft Fabric AI capabilities, and other approved LLM platforms such as Claude. The role ensures AI services are secure, cost-efficient, compliant, and aligned with identity governance standards. Like other platform and identity administration roles, this position emphasizes platform reliability, licensing and cost optimization, governance enforcement, and risk management rather than business solution development.

*This role is hybrid, based out of our Indianapolis, IN offices. Qualified candidates must currently reside within 75 miles of the Indianapolis, IN area*
Essential Functions

  • Enterprise AI platform governance and administration: Own tenant-level administration for approved AI platforms, including Microsoft 365 Copilot, Copilot Studio agent environments, Azure AI services, and integrated generative AI tools. Configure environments, roles, controls, and access models; define and enforce usage standards, security controls, and compliance requirements in partnership with Security and Compliance.
  • Licensing and consumption-based billing management: Oversee AI licensing, capacity, and cost governance. Manage license procurement, assignment, and de-provisioning; administer pay-as-you-go billing and Azure consumption plans; monitor usage, budgets, and alerts; support business-unit chargebacks; and serve as the primary liaison with the Cloud Solution Provider for licensing, renewals, invoicing, and model optimization.
  • Monitoring and continuous platform oversight: Track AI platform performance, adoption, utilization, capacity, feature releases, and policy changes. Review Microsoft updates, adjust configurations as needed, identify optimization opportunities, and communicate service impacts or access changes to users and support teams.
  • Identity and security integration: Treat AI services, agents, bots, service principals, and related non-human accounts as governed identities. Partner with Identity Management and Security to manage lifecycle controls, access reviews, credentials, role assignments, privacy safeguards, and risk mitigation for AI services.
  • AI adoption and governed experimentation: Lead enterprise AI adoption efforts by partnering with business units, IT, Security, Compliance, Data, and Finance to encourage practical experimentation with approved AI tools. Establish clear guardrails, intake paths, usage guidance, and support models that allow teams to explore AI capabilities safely while maintaining appropriate controls for data protection, identity, compliance, cost, and risk.
  • Operational support and cross-functional collaboration: Serve as the subject matter expert for enterprise AI platforms. Provide advanced support and guidance to IT teams and business units, help solution teams stay within governance guardrails, coordinate with data, cloud, security, finance, and business stakeholders, and support AI enablement and literacy efforts.
  • Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company's core values, competencies, and skills.

Education Qualifications

  • Required Bachelor's Degree in Information Systems, Computer Science, or a related field, or equivalent work experience.


Experience Qualifications

  • Required 5+ years of experience in enterprise IT administration, cloud platform management, IT operations, Microsoft 365 administration, or Azure services.
  • Preferred prior experience in AI administration
  • Strongly preferred working knowledge of Microsoft's AI ecosystem, including Microsoft 365 Copilot, Copilot Studio, Azure AI, and tenant-level policies and settings
  • Strongly preferred experience and familiarity with consumption-based billing, Azure cost management, Microsoft 365 Admin Center, Azure portal, PowerShell or scripting, data privacy, compliance, ethical AI practices, and governed administration of alternate LLM platforms.
  • Strong understanding of identity governance, access controls, permission design, usage policies, risk management, change control, and compliance requirements for rapidly evolving technology platforms.
  • Ability to work cross-functionally, influence without direct authority, explain technical and cost concepts in business terms, partner with vendors and finance teams, and operate effectively in a fast-changing AI environment.


Skills and Abilities

  • Professional demeanor and team player with the ability to establish and maintain cooperative and effective working relationships
  • Outstanding customer service/communication skills
  • Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams
  • Desire to learn and acquire expertise in new technologies
  • Microsoft Office Suite expertise: Outlook, Excel, Word, etc


Working Conditions/Physical Demands

  • Work is primarily performed in an office or professional setting using standard business equipment; hybrid or remote work may be available based on role and business needs.
  • Work is generally performed during standard business hours; occasional extended hours may be required to meet business or project demands.
  • Minimal travel expected; occasional travel for meetings, training, or company events may be required.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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