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Agentic Ai Jobs in Indiana (NOW HIRING)

Fabric Data Engineer

Fort Wayne, IN

$104K - $125K/yr

The Fabric Data Engineer brings a strong builder mindset - equally comfortable writing high-quality transformation code, establishing agentic AI-assisted development workflows, and communicating ...

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

The Fabric Data Engineer brings a strong builder mindset - equally comfortable writing high-quality transformation code, establishing agentic AI-assisted development workflows, and communicating ...

As the Senior Director, Arc - Agentic Economy Strategy & GTM, you will define and execute Circle ... Working across a network of AI builders, model providers, inference platforms, cloud and data ...

As the Senior Director, Arc - Agentic Economy Strategy & GTM, you will define and execute Circle ... Working across a network of AI builders, model providers, inference platforms, cloud and data ...

As the Senior Director, Arc - Agentic Economy Strategy & GTM, you will define and execute Circle ... Working across a network of AI builders, model providers, inference platforms, cloud and data ...

Showing results 41-60

Agentic Ai information

See Indiana salary details

$33

$62

$110

How much do agentic ai jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for agentic ai in Indiana is $62.59, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $95.14 per hour, depending on experience, location, and employer.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

How to start a career in agentic AI?

To start a career in agentic AI, develop strong skills in artificial intelligence, machine learning, and programming languages such as Python. Gaining experience through relevant projects, internships, or certifications in AI and automation tools can improve job prospects in this field.

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

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are growing in demand across industries such as technology, healthcare, and finance. Careers in this field typically require skills in machine learning, programming, and data analysis, and may involve working with AI frameworks and tools. The field offers opportunities for innovation and specialization but also requires ongoing learning due to rapid technological advancements.
What are popular job titles related to Agentic Ai jobs in Indiana? For Agentic Ai jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Agentic Ai jobs? Cities in Indiana with the most Agentic Ai job openings:
Infographic showing various Agentic Ai job openings in Indiana as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $130,183 per year, or $62.6 per hour.

Senior Director, Arc - Agentic Economy Strategy & GTM

Circle

Austin, IN

Full-time

Re-posted 14 days ago


Job description

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.

What you'll be part of:

Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.

What you'll be responsible for:

As the Senior Director, Arc - Agentic Economy Strategy & GTM, you will define and execute Circle's strategy for the agentic economy, helping establish USDC, Arc, and the Circle Agent Stack as the default financial infrastructure for AI agents. Working across Ecosystems, Product, Developer Relations, Engineering, and Commercial leadership, you will identify the highest-value opportunities for agent-driven economic activity, define the strategic roadmap for ecosystem adoption, architect partnership and growth programs, and influence the product investments required to accelerate adoption.


This is not a traditional business development role. Success in this position comes from defining ecosystem strategy closely with relationship owners and commercial teams to build a category-defining ecosystem rather than executing individual transactions.


You will build and scale the agentic economy ecosystem on Arc, Circle's own blockchain - making it the chain where the agentic economy settles by default. Because Arc is infrastructure Circle owns end to end, your mandate is to deepen the surfaces that live on it: a marketplace with real supply depth, broad external adoption of the Agent Stack, and the design-partner integrations and product capabilities that make Arc the natural home for agentic transactions. Working across a network of AI builders, model providers, inference platforms, cloud and data center companies, enterprises, developers, and ecosystem partners, you'll turn that network into durable, defensible advantage for Circle.

What success looks like:

Within your first 90 days, you will:

  • Develop and socialize a comprehensive agentic economy ecosystem strategy aligned across Product, Ecosystems, Developer Relations, and executive leadership.

  • Identify priority demand channels, ecosystem partners, and platform integrations required to accelerate agentic USDC adoption.

  • Establish strong working relationships across Product, Engineering, Developer Relations, Partnerships, and Commercial teams.

  • Build alignment around ecosystem priorities, platform requirements, and partnership opportunities.

  • Establish operating rhythms and ownership models across internal stakeholders supporting the agentic economy strategy.

Within your first 6-12 months, you will:

  • Launch strategic ecosystem partnerships that drive measurable agentic transaction volume and usage of Circle Agent Stack products.

  • Expand adoption of Agent Wallets, Nanopayments, Agent Marketplace, and related infrastructure across priority ecosystem participants.

  • Influence product roadmap priorities that improve the competitiveness and adoption of Circle's agentic infrastructure.

  • Create repeatable ecosystem growth motions, partnership frameworks, and adoption programs that scale beyond individual relationships.

  • Establish Circle as a leading platform for agent-driven payments and finance.

  • Develop a clear strategic bridge between agentic payments, autonomous finance, and future agent-driven capital markets activity.

What you'll work on:

  • Define and own the strategic roadmap for Arc's agentic economy ecosystem, including channel prioritization, ecosystem design, platform adoption, and long-term growth strategy.

  • Build and scale adoption programs across venture ecosystems, AI startups, model providers, inference platforms, cloud and data center companies, enterprises, and developer communities.

  • Design partnership structures, ecosystem incentives, commercial frameworks, and growth programs that accelerate agentic transaction volume and USDC adoption.

  • Partner closely with Product and Engineering teams to translate ecosystem needs into product priorities across Agent Wallets, Nanopayments, Agent Marketplace, Circle Skills, and Arc infrastructure.

  • Develop repeatable ecosystem motions including credits programs, reference architectures, default integrations, onboarding frameworks, and co-marketing initiatives.

  • Influence product strategy by bringing the voice of AI builders, model providers, cloud and infrastructure providers, enterprises, and ecosystem participants into roadmap decisions.

  • Monitor ecosystem performance, market dynamics, competitive developments, and emerging AI infrastructure trends to continuously strengthen Circle's market position.

  • Help shape the long-term convergence of the agentic economy, autonomous finance, and agent-driven capital markets activity across Arc.

What you'll bring to Circle:

Core Requirements

  • 12+ years of experience spanning platform partnerships, ecosystem development, product partnerships, developer platforms, strategy, business development, or related functions.

  • Demonstrated success creating and scaling new markets, categories, platforms, ecosystems, or infrastructure businesses.

  • Proven ability to influence executive stakeholders and drive alignment across multiple organizations without direct authority.

  • Experience building platform adoption strategies, ecosystem growth initiatives, or marketplace businesses that drive measurable usage and engagement.

  • Strong product instincts with the ability to translate ecosystem requirements into platform capabilities and roadmap priorities.

  • Experience structuring complex commercial partnerships, business models, and ecosystem programs involving multiple stakeholders and long-term strategic outcomes.

  • Exceptional communication, stakeholder management, executive influence, and strategic problem-solving skills.

  • Demonstrated ability to operate effectively in highly ambiguous, rapidly evolving markets and turn emerging opportunities into scalable business outcomes.

Preferred Requirements

  • Experience working with AI platforms, foundation model providers, inference infrastructure, cloud and data center infrastructure, agent frameworks, developer tooling, or AI application ecosystems.

  • Experience with payments, fintech infrastructure, stablecoins, digital assets, embedded finance, or internet-native financial systems.

  • Familiarity with the agentic economy, autonomous systems, programmable payments, machine-to-machine transactions, or AI-driven economic networks.

  • Experience building ecosystems around developer platforms, APIs, marketplaces, or usage-based infrastructure products.

  • Experience working with enterprise technology adoption, platform GTM, or emerging technology commercialization initiatives.

Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.

Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

Base Pay Range: $245,000-$307,500

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

Should you require accommodations or assistance in our interview process because of a disability, please reach out toaccommodations@circle.comfor support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

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