1

Senior Ai Validation Jobs in Indiana (NOW HIRING)

AI DevSecOps Senior Engineer

Indianapolis, IN · Hybrid

$109K - $150K/yr

AI DevSecOps Senior Engineer AI DevSecOps Senior Engineer Locations: This role requires associates ... Establish guardrails for AI-generated code security, including validation of outputs and mitigation ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... validation. * Demonstrated skill in reviewing the work of others--through peer review, supervision ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... validation. * Demonstrated skill in reviewing the work of others--through peer review, supervision ...

next page

Showing results 1-20

Senior Ai Validation information

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

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

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

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

What cities in Indiana are hiring for Senior Ai Validation jobs?

Cities in Indiana with the most Senior Ai Validation job openings:

Senior AI Architect, Indianapolis, IN

Indianapolis, IN • On-site

Agility 360
Finance and Insurance • 51 - 200 employees

Full-time, Contractor

This job post has expired today. Applications are no longer accepted.


Job description

Job Openings >> Senior AI Architect, Indianapolis, IN
Senior AI Architect, Indianapolis, IN
Summary
Title: Senior AI Architect, Indianapolis, IN ID: 1849 Location: Indianapolis, IN
Description

Senior AI Architect, Indianapolis, IN

Agility 360 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.
Apply Now
Copyright 2026 Agility 360. All rights reserved.
Powered by ApplicantStack Applicant Tracking
Privacy Policy | Terms of Use