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Senior Ai Software Engineer Jobs in Indiana (NOW HIRING)

Cox Automotive

Sr Software Engineer

Sheridan, IN · On-site

$101K - $169K/yr

Cox Automotive is deploying enterprise AI capabilities on AWS Quick across the enterprise, helping ... We are looking for a Senior Software Engineer who applies the principles of secure software ...

Cox Automotive

Sr Software Engineer

Avon, IN · On-site

$101K - $169K/yr

Cox Automotive is deploying enterprise AI capabilities on AWS Quick across the enterprise, helping ... We are looking for a Senior Software Engineer who applies the principles of secure software ...

Cox Automotive

Sr Software Engineer

Lawrence, IN · On-site

$101K - $169K/yr

Cox Automotive is deploying enterprise AI capabilities on AWS Quick across the enterprise, helping ... We are looking for a Senior Software Engineer who applies the principles of secure software ...

Cox Automotive

Sr Software Engineer

Carmel, IN · On-site

$101K - $169K/yr

Cox Automotive is deploying enterprise AI capabilities on AWS Quick across the enterprise, helping ... We are looking for a Senior Software Engineer who applies the principles of secure software ...

Cox Automotive

Sr Software Engineer

Meridian Hills, IN · On-site

$101K - $169K/yr

Cox Automotive is deploying enterprise AI capabilities on AWS Quick across the enterprise, helping ... We are looking for a Senior Software Engineer who applies the principles of secure software ...

Relativity

Software Engineer

Indianapolis, IN · On-site

Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

Vergence

Senior AI/ML Engineer

Bedford, IN

$93K - $128K/yr

Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems. Qualifications: * Active DoD Secret Clearance ...

Vergence

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems. Qualifications: * Active DoD Secret Clearance ...

Cox Communications, Inc.

Software Engineer II

Carmel, IN · On-site +1

$89K - $134K/yr

The Software Engineer II applies secure software engineering principles to the design, development ... senior engineers. Preferred Qualifications * Exposure to AI/ML-powered tools, AI APIs, prompt ...

Align Technology, Inc.

$116K - $153K/yr

Role summary This position is ideal for an experienced software engineer specializing in modern web technologies who gets excited about building AI-assisted workflows. You will join a cross ...

CSAA

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... Serve as a senior escalation point for complex production issues involving AI platforms, machine ...

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Senior Ai Software Engineer information

What is a senior AI software engineer?

Senior AI Software Engineers are experienced professionals who design, develop, and deploy artificial intelligence (AI) systems and applications. They lead complex projects involving machine learning, deep learning, and data analysis, often mentoring junior engineers and collaborating with data scientists. Their responsibilities include creating scalable AI models, optimizing algorithms, and ensuring that AI solutions meet business objectives. They typically possess advanced knowledge of programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch. Additionally, they stay updated on the latest AI trends and best practices to drive innovation within their organizations.

What does a senior AI software engineer do?

As a Senior AI Software Engineer, you will frequently work cross-functionally with data scientists and product teams to design, develop, and deploy AI solutions. You’ll translate complex models developed by data scientists into scalable, production-ready code, and ensure the solutions meet performance and reliability standards. Regular communication with product managers and stakeholders is essential to align technical deliverables with business objectives, and you may also mentor junior engineers in best practices for AI system integration.

What are the key skills and qualifications needed to thrive as a senior AI software engineer?

To thrive as a Senior AI Software Engineer, you need deep expertise in machine learning, programming languages such as Python or Java, and a strong background in computer science or a related field, often with an advanced degree. Familiarity with frameworks like TensorFlow or PyTorch, experience deploying models to production, and knowledge of cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, leadership, and effective communication skills distinguish top performers in this role. These skills ensure the ability to design, build, and scale AI solutions that drive innovation and deliver business value.

What is the difference between Senior Ai Software Engineer vs Data Scientist?

AspectSenior Ai Software EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with AI frameworksBachelor's/Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentDevelops AI models, software, and algorithms; collaborates with engineering teamsAnalyzes data, builds predictive models, interprets data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require strong technical skills and experience with AI tools, Senior Ai Software Engineers focus on developing and deploying AI software solutions, whereas Data Scientists primarily analyze data to generate insights and build predictive models. The roles often overlap but differ in their core responsibilities and focus areas.

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

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

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

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

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

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

What cities in Indiana are hiring for Senior Ai Software Engineer jobs?

Cities in Indiana with the most Senior Ai Software Engineer job openings:

Senior Ai Software Engineer jobs near you
Infographic showing various Senior Ai Software Engineer job openings in Indiana as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr Software Engineer

Cox Automotive

Sheridan, IN • On-site

$101K - $169K/yr

Full-time

PTO

Posted 4 days ago

Cox Automotive rating

7.7

Company rating: 7.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

105th of 152 rated financial services

Job description

Cox Automotive is deploying enterprise AI capabilities on AWS Quick across the enterprise, helping teams work more effectively in their day-to-day operations.
We are looking for a Senior Software Engineer who applies the principles of secure software engineering to the design, development, maintenance, testing, and evaluation of software and cloud infrastructure that supports this initiative.
As a senior member of the engineering organization, you will be expected to contribute beyond feature implementation by influencing development practices, mentoring teammates, raising engineering standards, and helping guide technical decision-making across products and services. You'll regularly balance short-term delivery objectives with long-term maintainability, scalability, and operational excellence.
This is early-stage work with executive sponsorship, direct access to AWS technical teams, and the autonomy to shape how the platform is built.
What You'll Do
Platform Integration & Connector Governance
  • Own the enterprise connector catalog - define integration standards, security review gates, and onboarding playbooks for teams publishing MCP servers to Quick.
  • Build platform-level integration infrastructure: auth plumbing (Entra/OAuth 2.0), connector health monitoring, and lifecycle tooling.
  • Serve as the senior technical contact for domain teams (Snowflake, Salesforce, ServiceNow, Seismic) building MCP servers - unblock them, enforce guardrails, review designs, and ensure production readiness.
  • Build connectors for systems where no dedicated team exists - AS400 wholesale auction databases, multi-step Databricks pipelines, internal REST/gRPC services, or whatever the business needs next.

AI Platform Engineering & Product Development
  • Own and evolve the AI Artifact Hub - harden the product, improve reliability, and ship features that make it a core part of how the org builds with AI.
  • Build and improve knowledge ingestion pipelines - chunking strategies, metadata extraction, and retrieval quality tuning.
  • Develop agents, skills, and automation workflows that solve real business problems through the Quick platform.
  • Design and implement fine-grained access controls and DLP enforcement - when an agent queries Snowflake or Office 365 on behalf of a user, it must strictly respect row-level permissions and never surface unauthorized data in prompt contexts.
  • Adopt spec-driven, verification-first development practices - define expected behavior before implementation, especially when building with AI-assisted tooling.

Reliability, Observability & Evaluation
  • Build the operational backbone for AI at scale - cost tracking by team/department, proactive circuit breakers for runaway token loops, and fallback handling when underlying services degrade.
  • Design evaluation frameworks and automated "ground truth" test suites - measure whether changes to agent instructions improve or degrade accuracy across dozens of business workflows before they hit production.
  • Build feedback loop APIs (Lambda, Step Functions) that capture human-in-the-loop corrections and feed quality signals back into the platform.
  • Implement observability across the stack: usage metrics, latency, error rates, cost dashboards, and security-aware alerting.

Collaboration & Growth
  • Participate in design and code reviews. Mentor junior engineers through pairing and knowledge sharing.
  • Collaborate with the Principal Engineer on architecture decisions and technical direction.
  • Work directly with AWS technical teams to troubleshoot issues, provide feedback, and adopt new capabilities.

Who You Are
  • Bachelor's degree (list any requirements of discipline here) and 4 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16years' experience in a related field.
  • 5+ years of professional software development experience, including designing, building, and operating production systems.
  • Strong proficiency in Python, including building APIs, data pipelines, and integrations.
  • Hands-on experience with AWS services (Lambda, S3, IAM, API Gateway, CloudWatch, Step Functions, or similar).
  • Experience building integrations with third-party APIs and SaaS platforms, including authentication flows (OAuth 2.0, OIDC).
  • Experience with Infrastructure as Code (Terraform preferred) and CI/CD pipelines (GitHub Actions preferred).
  • Solid understanding of distributed systems concepts: fault tolerance, idempotency, eventual consistency, and graceful degradation.
  • Experience designing and enforcing authorization policies in multi-tenant or multi-user systems (row-level security, ABAC, or similar).
  • Comfort working in a small, fast-moving team where you own what you build end-to-end.
  • Strong communication skills. Able to explain technical decisions clearly and collaborate across teams.
  • Applicants must be authorized to work in the United States for any employer without current or future sponsorship.
  • Ability to work in the office three days per week.
  • Willingness to participate in an on-call rotation for production platform systems.

Preferred Qualifications
  • Experience with AI/ML-powered systems, with exposure to emerging patterns such as RAG, knowledge retrieval, or agent-based architectures.
  • Experience with Amazon Bedrock, AWS managed AI/ML services, or a comparable enterprise AI platform.
  • Familiarity with the Model Context Protocol (MCP) or experience building agent/tool integration layers.
  • Experience with Snowflake, semantic views, or similar data platform technologies.
  • Background in knowledge graphs, embeddings, vector stores, or enterprise search/retrieval systems.
  • Experience building evaluation or testing frameworks for non-deterministic systems (ML model eval, A/B testing infrastructure, or similar).
  • Familiarity with cost optimization in cloud-native architectures - FinOps thinking, usage metering, or chargeback systems.
  • Experience with data loss prevention, PII detection/redaction, or security controls in data pipelines.
  • Experience with event-driven architectures or workflow engines (Step Functions, Temporal).
  • Experience building or operating internal developer platforms or developer tooling.
  • Experience taking ownership of an inherited codebase and improving it to a well-documented, supportable state.
  • Prior work in automotive, media, or another large enterprise with a complex system landscape is an advantage but not required.

USD 101,500.00 - 169,100.00 per year
Compensation:
Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets

What Cox Automotive employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US

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