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Ai Engineer Contract Jobs in Indiana (NOW HIRING)

... is a Contract position based out of Fort Wayne, IN. Pay and Benefits The pay range for this ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

AI-Ready Infrastructure: Design high-performance data flows and transformation layers that surface ... Experience implementing Data Contracts , schema registries, and observability tools. What You Need ...

AI-Ready Infrastructure: Design high-performance data flows and transformation layers that surface ... Experience implementing Data Contracts , schema registries, and observability tools. What You Need ...

AI-Ready Infrastructure: Design high-performance data flows and transformation layers that surface ... Experience implementing Data Contracts , schema registries, and observability tools. What You Need ...

Controls Engineer

Indianapolis, IN · On-site

$79K - $103K/yr

Indianapolis, IN Duration: 12 Months Contract Travel: 30%-40% Required Job Overview We are seeking ... Work with data analytics platforms and technologies such as Power BI, AI, and ML. Troubleshooting ...

Showing results 21-40

Ai Engineer Contract information

What are AI engineer contracts?

AI Engineer contracts are agreements between companies and artificial intelligence engineers who work on a temporary or project basis to develop, implement, or maintain AI technologies. Contractors may be hired for specific projects like building machine learning models, automating processes, or integrating AI solutions into existing systems. Unlike full-time employees, contract AI engineers often work on a freelance or fixed-term basis, offering flexibility for both the employer and the engineer. These contracts typically outline the scope of work, duration, payment terms, and deliverables. Companies often use AI Engineer contracts to quickly access specialized skills without long-term commitments.

What are some common challenges AI engineers face when working on contract projects?

AI Engineers working on contract projects often encounter challenges like quickly adapting to new codebases and company processes, aligning with client expectations, and managing project scope within set timelines. Since contractors may have limited onboarding time, effective communication and time management are crucial for integrating with existing teams. Additionally, ensuring the transfer of knowledge and documentation at project completion is vital for long-term success and client satisfaction.

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

To thrive as an AI Engineer (Contract), you need strong expertise in programming languages (such as Python or Java), machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and version control systems is typically required, along with certifications in AI or machine learning being advantageous. Outstanding problem-solving skills, adaptability, and effective communication set top-performing contract AI engineers apart. These skills ensure efficient project delivery, seamless integration with teams, and the ability to develop innovative AI solutions that meet client needs.

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

AspectAi Engineer ContractData Scientist Contract
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsagePrimarily in AI-focused roles across various industriesAcross industries for data analysis and insights

While both roles involve working with data and algorithms, Ai Engineer Contract focuses on developing AI models and systems, whereas Data Scientist Contract emphasizes analyzing data to derive insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

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 are popular job titles related to Ai Engineer Contract jobs in Indiana?

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

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

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

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

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

Infographic showing various Ai Engineer Contract job openings in Indiana as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

Senior AI Architect, Indianapolis, IN

Agility360

Indianapolis, IN • On-site

$130 - $170/hr

Other

Re-posted yesterday


Job description

Senior AI Architect, Indianapolis, IN

Agility 360 is seeking a Senior AI Architect for a client in Indianapolis, IN. This person will be responsible for shaping enterprise-wide AI architecture and driving scalable, ethical, and high-impact AI solutions. This role requires strong systems thinking, hands‑on experience with AI/ML and GenAI technologies, and the ability to translate business needs into practical, production‑ready solutions.

Essential Job Functions
  • Partner with business leaders, product managers, and stakeholders to understand workflows, constraints, and AI opportunities
  • Assess AI use cases for feasibility, data readiness, architecture impact, and delivery risk
  • Translate business requirements into scalable AI solution architectures and technical designs
  • Design enterprise‑grade AI solutions including data flows, integrations, security, and monitoring
  • Develop architecture artifacts such as workflows, diagrams, and decision records
  • Recommend AI approaches (ML, GenAI, RAG, agentic workflows, automation, hybrid models)
  • Ensure solutions meet standards for scalability, reliability, compliance, and responsible AI
  • Collaborate with architecture, security, data, and governance teams to align with enterprise standards
  • Build prototypes, PoCs, and reference implementations to validate solutions and reduce risk
  • Provide hands‑on technical guidance, design reviews, and troubleshooting support
  • Mentor engineers and cross‑functional teams through coaching and knowledge sharing
  • Establish reusable AI architecture standards, patterns, and best practices
  • Define and promote responsible AI principles including transparency, privacy, and oversight
  • Continuously evaluate emerging AI technologies and incorporate practical innovations
  • Capture lessons learned and develop reusable playbooks and architecture guidance
Education / Experience Requirements
  • Bachelor’s degree in Computer Science, Data Engineering, or related field required; Master’s preferred
  • 10+ years of software engineering or architecture experience with 5+ years in AI/ML solutions
  • Strong expertise in AI/ML system design, MLOps, and cloud‑native architectures
  • Experience with LLMs, RAG architectures, vector databases, and modern AI frameworks
  • Hands‑on experience with platforms such as AWS SageMaker, Azure ML, Vertex AI, Databricks, or OpenAI APIs
  • Proven ability to lead architecture decisions and collaborate across enterprise teams
  • Knowledge of AI governance, responsible AI practices, and data privacy/security standards
  • Strong communication, organizational, and problem‑solving skills
  • Experience with enterprise architecture frameworks (Zachman/TOGAF) preferred
  • Cloud or architecture certifications (AWS, Azure) preferred
Additional Details
  • Location: on‑site in Indianapolis, IN
  • Contract to hire
  • Salary: commensurate with experience
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