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Ai Optimization Jobs in Indiana (NOW HIRING)

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

... Optimizing open-weight language models, including LLaMA, Mistral, and Gemma, for local and cloud ... for AI projects - Utilizing machine learning libraries like Scikit-Learn for data analysis ...

Masco Corporation

AI Agent Developer

Indianapolis, IN · On-site

Innovation & Optimization * Fine-tune foundation models (GPT-4o, GPT-5, Claude Opus, DBRX) for ... applied AI/ML. * Demonstrated ability to ship at least one production-ready agentic or RAG ...

Merchants Bancorp

AI Enablement Specialist

Carmel, IN · On-site

This role serves as the primary Tier 2 resource supporting business analysts and end users in the adoption, development, and optimization of AI-powered tools including Microsoft Copilot, Copilot ...

Cisco

Applied AI Scientist

Indianapolis, IN

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... LargeScale Training & Optimization - Experience optimizing model architectures, distributed ...

Deloitte

Google AI Architect

Indianapolis, IN

Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool/function calling, safety policies, Vector Search, evaluation); implement deployment, inference optimization ...

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Contributing to innovation through experimentation with foundation models, vector databases, and optimization techniques. Experience needed for our Principal AI Engineer include: * A Bachelor ...

Crowe LLP

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Analyze large-scale datasets, model telemetry, and inference performance to drive optimization ...

micro1 AI

Bioinformatics Software Engineer

Evansville, IN · Remote

$80 - $110/hr

... AI-driven discovery platforms. * Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources. * Provide ...

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Ai Optimization information

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

What are popular job titles related to Ai Optimization jobs in Indiana?

For Ai Optimization jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ai Optimization jobs in Indiana look for?

The top searched job categories for Ai Optimization jobs in Indiana are:

What cities in Indiana are hiring for Ai Optimization jobs?

Cities in Indiana with the most Ai Optimization job openings:

Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in Indiana as of August 2026, with employment types broken down into 4% Internship, 82% Full Time, 6% Part Time, and 8% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

AI Administrator, IT Shared Services

The Heritage Group

Indianapolis, IN • On-site

Full-time

Re-posted 6 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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