1

Associate Ai Engineer Jobs in Indiana (NOW HIRING)

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Work You'll Do As an Associate Vice President, AI and Data Solutions on the AI & Data team, you ...

Showing results 41-60

Associate Ai Engineer information

See Indiana salary details

$39.5K

$78.6K

$125.6K

How much do associate ai engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for associate ai engineer in Indiana is $78,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $90,400.00 per year, depending on experience, location, and employer.

What does an Associate AI Engineer do?

An Associate AI Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers to build machine learning algorithms, preprocess data, and test AI solutions. Their responsibilities often include writing code, evaluating model performance, and collaborating with data scientists and software developers. This entry-level role provides hands-on experience in AI technologies and helps build a foundation for more advanced engineering positions.

What are the key skills and qualifications needed to thrive as an Associate AI Engineer?

To thrive as an Associate AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, probability, statistics), and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms such as AWS or Google Cloud are typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help distinguish top performers in this role. These skills and qualities are essential for successfully developing, implementing, and maintaining AI solutions in a collaborative and rapidly evolving environment.

What are some common challenges an Associate AI Engineer may face when working on real-world machine learning projects?

As an Associate AI Engineer, you may encounter challenges such as handling imperfect or limited datasets, balancing model performance with computational constraints, and integrating AI solutions into existing products. Collaboration with data scientists, software engineers, and product managers is crucial to refine objectives and ensure technical feasibility. Additionally, keeping up with evolving AI frameworks and best practices can be demanding, but it provides valuable learning opportunities and skill growth.

What is the difference between Associate Ai Engineer vs Data Scientist?

AspectAssociate Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, startups, R&D teams; focus on AI model developmentResearch labs, tech firms, finance; focus on data analysis and modeling
Employer & Industry UsageAI-focused roles in tech, healthcare, financeData analysis across industries like marketing, finance, healthcare

Associate Ai Engineers typically focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Associate Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

How much do entry level associate AI engineers make?

Entry-level associate AI engineers typically earn between $70,000 and $90,000 annually, depending on location, education, and company size. Starting salaries may also include benefits such as health insurance and opportunities for skill development in machine learning tools and programming languages like Python or TensorFlow.

Is there a demand for associate AI engineers?

There is a strong and growing demand for associate AI engineers as industries increasingly adopt artificial intelligence and machine learning technologies. Entry-level roles often require knowledge of programming languages like Python, familiarity with AI frameworks, and relevant certifications, making it a promising career path for those with technical skills and a background in data science or software development.

What jobs can you get with an associate AI engineer?

An associate AI engineer can qualify for roles such as AI developer, machine learning technician, data analyst, or AI support specialist. These positions typically require knowledge of programming languages like Python, familiarity with AI frameworks, and understanding of data processing. Entry-level roles often involve assisting in developing, testing, and maintaining AI models and systems.

What are the most commonly searched types of Ai Engineer jobs in Indiana?

The most popular types of Ai Engineer jobs in Indiana are:

What cities in Indiana are hiring for Associate Ai Engineer jobs?

Cities in Indiana with the most Associate Ai Engineer job openings:

Infographic showing various Associate Ai Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $78,634 per year, or $37.8 per hour.

Data, Analytics & AI - Senior Associate

Indianapolis, IN • On-site

Pwc
Finance and Insurance • 10K+ employees

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Managed Services - Data, Analytics & AI - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data, Analytics & AI Managed Services practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity and using these moments as opportunities to grow.
In this role, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will be part of a team that focuses on leveraging data to drive insights and make informed business decisions. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Leveraging data analytics to drive strategic insights and informed decision-making for clients
- Developing and implementing innovative solutions to optimize business performance and enhance competitive advantage
- Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards
- Building and maintaining relationships with clients to understand their needs and deliver tailored data solutions
- Managing data pipelines and confirming data quality and integrity throughout analytics processes
- Applying analytical thinking and data science techniques to interpret complex data sets and generate actionable insights
- Collaborating with teams to develop data architecture and visualization strategies that align with client objectives
- Engaging in continuous process improvement to enhance data analytics capabilities and methodologies
- Navigating complex situations and adapting to changing business contexts to deliver quality outcomes
- Mentoring junior team members and fostering a collaborative and inclusive work environment
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Demonstrating proficiency in data visualization tools like QlikView and Spotfire
- Utilizing Python and Java for advanced data analytics projects
- Developing business intelligence solutions using Oracle BI and BIRT
- Engaging in stakeholder management and competitive advantage analysis
- Applying analytical thinking to macroeconomic and microeconomic research
- Embracing change and continuous process improvement in dynamic environments

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


pwc logo

About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK