1

Amazon Ai Jobs in Indiana (NOW HIRING)

You will be expected to work onsite at an Amazon facility. Key job responsibilities - Improve site ... R technology solutions, AI, and self-service tools, ensuring effective utilization while ...

We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

You will be expected to work onsite at an Amazon facility, ensuring personal connection and hands ... Using cutting-edge AI-powered analytics and data insights, you'll identify trends and opportunities ...

Experience working across OCI and at least one additional cloud platform, including Amazon Web ... Experience leading AI or ERP transformation programs for large enterprises The wage range for this ...

You will be expected to work onsite at an Amazon facility. Key job responsibilities - Support a ... AI-powered tools, HR analytics platforms, and emerging technologies to derive insights and drive ...

Amazon creative experience (A+, Brand Store, listing optimization, Sponsored Brands). * Shopify experience. * Meta advertising experience. * AI tools for creative development. * Experience with ...

AWS Devops Cloud Engineer

Indianapolis, IN · Hybrid

$50.50 - $69/hr

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across ... Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS ...

AWS Devops Cloud Engineer

Indianapolis, IN · On-site

$50.50 - $69/hr

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across ... Manage and support cloud-based data and analytics platforms, including Databricks, Amazon RDS ...

next page

Showing results 1-20

Amazon Ai information

See Indiana salary details

$95.2K

$149.3K

$162.7K

How much do amazon ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for amazon ai in Indiana is $149,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,700.00 and $161,800.00 per year, depending on experience, location, and employer.

What is an Amazon AI?

An Amazon AI job typically involves working with artificial intelligence and machine learning technologies to enhance Amazon's products and services. Roles in this field may include data scientists, machine learning engineers, research scientists, and AI software developers. Employees in these positions develop algorithms, build AI models, and optimize systems for tasks such as natural language processing, computer vision, and recommendation systems. These jobs require expertise in programming, data analysis, and AI frameworks like TensorFlow or PyTorch. Amazon AI professionals contribute to innovations in Alexa, AWS AI services, and various other AI-driven projects.

What do Amazon AI professionals do?

Amazon AI professionals often work on projects such as building and optimizing recommendation systems, creating natural language processing models for Alexa or automated customer support, and developing computer vision solutions for logistics and retail. Their daily work may involve data preprocessing, model training and evaluation, deploying AI solutions at scale, and collaborating with product managers, engineers, and data scientists to meet business objectives. Team members usually operate in an agile environment, participating in regular code reviews and brainstorming sessions. This role offers opportunities for tackling unique, large-scale challenges and contributing directly to innovations that impact millions of customers.

What are the key skills and qualifications needed to thrive in the Amazon AI position?

To excel in an Amazon AI role, candidates generally need strong technical expertise in machine learning, deep learning, and programming languages such as Python, along with an advanced degree in computer science or a related field. Familiarity with Amazon Web Services (AWS), cloud-based AI tools, and frameworks like TensorFlow or PyTorch is typically required, with certifications such as AWS Certified Machine Learning Specialty being advantageous. Strong problem-solving abilities, collaboration skills, and a customer-focused mindset help individuals stand out. These capabilities are crucial for developing scalable AI solutions that improve Amazon's products and services while working within dynamic, cross-functional teams.

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

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

Infographic showing various Amazon Ai job openings in Indiana as of August 2026, with employment types broken down into 2% Internship, 87% Full Time, and 11% Part Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $149,304 per year, or $71.8 per hour.

AI/ML Engineer Generative AI, Agentic AI & AWS

Compunnel

Indianapolis, IN • On-site

Full-time

Posted 4 days ago


Job description

Job Summary
We are looking for a hands-on AI/ML Engineer with strong experience in Python, Generative AI, Agentic AI, Machine Learning, and AWS to build and productionize enterprise AI solutions. The ideal candidate will have experience developing LLM/RAG applications, agentic workflows, ML pipelines, APIs, and cloud-native AI services.
Key Responsibilities
• Design, develop, test, deploy, and support end-to-end AI/ML solutions using Python and AWS.
• Build production-grade Python APIs, services, workers, data pipelines, and AI/LLM integrations using FastAPI, Pydantic, boto3, SQLAlchemy, pandas, NumPy, and scikit-learn.
• Develop RAG pipelines including document ingestion, parsing, chunking, metadata, embeddings, vector/hybrid search, reranking, retrieval, grounding, citations, and access-aware filtering.
• Build Agentic AI workflows with tools, state, memory, structured outputs, human-in-the-loop approvals, retries, error handling, and observability.
• Work with LangChain, LangGraph, CrewAI, AWS Strands Agents, or equivalent agent frameworks.
• Develop Generative AI solutions using Amazon Bedrock, foundation models, Knowledge Bases, Agents/AgentCore, and Guardrails.
• Implement classical ML solutions using scikit-learn, PyTorch, or TensorFlow, including training, evaluation, inference, monitoring, and model lifecycle management.
• Develop AI/ML evaluation frameworks covering golden datasets, prompt testing, retrieval evaluation, LLM evaluation, regression testing, and human review.
• Implement secure and scalable AWS solutions using SageMaker, Lambda, Step Functions, S3, OpenSearch, API Gateway, ECS/Fargate, EKS, EventBridge, SQS/SNS, RDS/Aurora, DynamoDB, and Glue.
• Implement IAM, KMS, Secrets Manager, VPC, encryption, CloudWatch, CloudTrail, logging, monitoring, and security controls.
• Support CI/CD, MLOps, Infrastructure as Code, and automated deployment using Terraform, AWS CDK/CloudFormation, GitHub Actions, CodeBuild/CodePipeline, and ECR.
• Develop unit, integration, contract, security, performance, and end-to-end tests using pytest.
• Optimize AI applications for latency, throughput, token consumption, cost, reliability, and scalability.
• Collaborate with architects, data engineers, QA, DevOps, security, and HCLS teams.
• Mentor other engineers and contribute to engineering best practices.
Required Qualifications
• Strong hands-on experience with Python.
• Experience developing FastAPI and REST APIs.
• Strong experience with Generative AI and LLMs.
• Experience with prompt and context engineering.
• Hands-on experience with RAG, embeddings, vector search, and hybrid search.
• Experience developing Agentic AI and AI agent solutions.
• Experience with LangChain, LangGraph, CrewAI, AWS Strands, or equivalent agent frameworks.
• Experience with Amazon Bedrock, including Knowledge Bases, Agents, and Guardrails.
• Experience with Amazon SageMaker.
• Hands-on experience with AWS services including Lambda, Step Functions, S3, OpenSearch, and API Gateway.
• Strong SQL skills.
• Experience with pytest and automated testing.
• Experience with Docker and Kubernetes.
• Experience with Terraform, AWS CDK, or CloudFormation.
• Experience with CI/CD and MLOps practices.
• Knowledge of IAM, KMS, Secrets Manager, and CloudWatch.
• Strong understanding of Machine Learning fundamentals.
• Experience with LLM/AI evaluation and observability.
Preferred Qualifications
• Experience in Healthcare and Life Sciences.
• Experience with HIPAA, PHI, or PII security requirements.
• Experience with AWS AgentCore.
• Experience with PyTorch or TensorFlow.
• Experience with PostgreSQL or DynamoDB.
• Experience with event-driven architecture.
• Knowledge of Responsible AI and AI security.
• Experience developing human-in-the-loop AI systems.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

Social media