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Ai Medical Jobs in Indiana (NOW HIRING)

Pwc

AI Engineer

Indianapolis, IN

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable ... PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation ...

First Databank

Medical Device Coder

Indianapolis, IN · On-site

$18 - $24/hr

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

Hearst Health

Medical Device Coder

Carmel, IN · On-site

$18.50 - $24.75/hr

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

Hearst

Medical Device Coder

Carmel, IN · On-site

$18.50 - $24.75/hr

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

Hearst UK

Medical Coder Specialist

Indianapolis, IN · On-site

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

Hearst

Medical Coder Specialist

Indianapolis, IN · On-site

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

Hearst

Medical Coder Specialist

Carmel, IN · On-site

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

Hearst

Medical Coder Specialist

Carmel, IN

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

Hearst Health

Medical Coder Specialist

Carmel, IN · On-site

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

Hearst

Medical Coder Specialist

Carmel, IN

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

Hearst

Medical Coder Specialist

Carmel, IN

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

First Databank

Medical Coder Specialist

Carmel, IN

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

Hearst

Medical Coder Specialist

Indianapolis, IN

Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, to support medical device coding research, HCPCS data analysis, content validation, audit review, and workflow efficiency.

SEP

AI Engineer (in person)

Westfield, IN · On-site

... medical, aerospace, finance, heavy machinery, and more. In 2019, we started investigating how AI ... can be applied to the needs of our clients. Since then, we have been assisting them from AI ...

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All JobsAi Medical JobsAi Medical Jobs in Indiana

Ai Medical information

What is an AI medical professional?

An AI Medical professional is someone who specializes in applying artificial intelligence technologies within the healthcare and medical field. This role involves developing, implementing, and managing AI systems that can assist with diagnostics, treatment planning, patient monitoring, and healthcare research. AI Medical professionals may work as data scientists, engineers, or clinical experts collaborating to improve patient care, enhance efficiency, and support medical decision-making through advanced algorithms and machine learning models. Their expertise helps bridge the gap between technology and medicine, driving innovation in healthcare.

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

To thrive as an AI Medical Specialist, you need a strong background in healthcare, data science, and machine learning, often supported by degrees in computer science, bioinformatics, or a related field. Familiarity with medical imaging software, AI frameworks like TensorFlow or PyTorch, and certifications in health informatics or AI are highly beneficial. Excellent problem-solving, analytical thinking, and effective communication skills help bridge the gap between clinical professionals and technical teams. These skills are essential to develop reliable AI healthcare solutions that improve diagnostics, patient outcomes, and operational efficiency.

What are some common challenges faced by professionals in AI medical roles, and how can they be addressed?

Professionals in AI medical roles often encounter challenges such as integrating new technologies with existing healthcare systems, ensuring data privacy, and navigating regulatory requirements. Collaboration with clinicians and IT teams is essential to ensure that AI solutions are both effective and user-friendly. Staying updated on healthcare regulations and best practices in AI ethics can help address these challenges, as can ongoing communication with stakeholders to tailor solutions that meet clinical needs while maintaining patient trust.

What is the difference between Ai Medical vs Medical Assistant?

AspectAi MedicalMedical Assistant
Required CredentialsCertification in AI or healthcare tech, relevant degreesCertified Medical Assistant (CMA), post-secondary education
Work EnvironmentHealthcare settings, tech companies, AI development labsClinics, hospitals, outpatient facilities
Employer & Industry UsageTech firms, healthcare providers integrating AIMedical clinics, hospitals, outpatient centers
Common Search & Comparison IntentUnderstanding AI roles in healthcareMedical assisting duties and certifications

Ai Medical professionals focus on integrating AI technology into healthcare, requiring tech and healthcare knowledge. Medical Assistants perform clinical and administrative tasks in healthcare settings, often with certification. While Ai Medical emphasizes AI systems, Medical Assistants support patient care directly. Both roles are vital but serve different functions within the healthcare industry.

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

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

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

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

What cities in Indiana are hiring for Ai Medical jobs?

Cities in Indiana with the most Ai Medical job openings:

Ai Medical jobs near you
Infographic showing various Ai Medical job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

AI Analyst

Indianapolis, IN • On-site

Tata Consultancy Service Limited
See more jobs at Tata Consultancy Service Limitedexternal

$95K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Must Have Technical/Functional Skills
2-4 years of experience in a technical analyst, AI support, or systems configuration role.
Hands-on experience working with LLMs (e.g., OpenAI, Anthropic Claude, AWS Bedrock) -configuration, API usage, and
prompt engineering.
Proficiency in Python for scripting, log parsing, and light automation.
Practical AWS knowledge: navigating CloudWatch logs, Lambda, S3, and IAM to support troubleshooting.
Strong analytical and problem-solving skills with attention to detail.
Required Technologies: Gen-AI, AI Agent engineering, MLOps, MCP,Python, Angular/React/VueJs, NODEJS, AWS platform
Roles & Responsibilities
Design and build end-to-end AI-powered applications to enhance Clinical Operations platforms.
Develop and deploy AI capabilities (LLM applications, RAG pipelines, agent orchestration) to support clinical, regulatory,
and business workflows.
Integrate AI solutions into enterprise environments ensuring scalability, security, and compliance.
Architect and implement integrations with various platforms and enterprise data ecosystems using API-first and
microservices-based approaches.
Design and optimize data models, pipelines, and transformations to ensure high-quality, reliable, and governed datasets.
Ensure alignment with enterprise data standards, metadata management, and traceability requirements.
Embed Responsible AI principles, ensuring fairness, transparency, explainability, and regulatory compliance
(e.g., GxP, data privacy).
Establish governance, auditability, and validation processes aligned with clinical standards.
Develop production-grade code, perform code reviews, and ensure engineering best practices.
Monitor and optimize system performance, scalability, and reliability across applications and pipelines.
Identify opportunities to improve system reliability, response quality, and cost efficiency.
Troubleshoot complex issues across data, infrastructure, and AI layers.
Leverage cloud platforms (AWS/Azure) and modern DevOps/MLOps practices to enable secure, scalable deployments.
Lead end-to-end deliveryfrom ideation and prototyping to full-scale production rollout.
Partner with stakeholders to convert concepts into production-ready solutions delivering measurable business value.
Collaborate with cross-functional teams to identify high-impact opportunities aligned with business priorities.
Provide technical leadership, guiding architecture decisions, best practices, and problem resolution.
Troubleshoot production issues by reviewing AWS logs (CloudWatch, Lambda, S3) and coordinating resolution.
Salary Range: $95,000 -$105,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Perfo rmance Bonus, College Fund, Student Loan Refinancing.
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