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Software Engineer Ai Remote Jobs in Indiana (NOW HIRING)

Agilent

$168K - $315K/yr

Impact Your leadership will help PSD accelerate software delivery by embedding AI-powered automation into the core of engineering workflows. You will improve developer productivity, reduce manual ...

Kobie Marketing

Senior Software Engineer

Indianapolis, IN · On-site +1

$117K - $154K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Traction Ag, Inc.

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

Traction Ag helps farmers simplify the business of farming through cloud-based software that brings ... An AI research role * A pure ML modeling role * A prompt engineering role * A people management ...

Preventia

Software Developer

Indianapolis, IN · On-site +1

We have a flexible work environment with a mixture of remote work and in office hours ... Work alongside other software developers on the team to elevate technology and consistently apply ...

Harris

... engineering, low-code/no-code tools, or scripting * Strong communication skills - ability to ... Experience in the software or utility industry What would make you stand out: * Experience with ...

Harris

... engineering, low-code/no-code tools, or scripting * Strong communication skills - ability to ... Experience in the software or utility industry What would make you stand out: * Experience with ...

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Software Engineer Ai Remote information

How does a remote Software Engineer specializing in AI typically collaborate with cross-functional teams?

As a remote Software Engineer focused on AI, you'll frequently collaborate with data scientists, product managers, and other engineers through digital platforms. Daily interactions often involve virtual stand-ups, code reviews, and shared documentation to ensure alignment on project goals and timelines. Effective communication and proactive updates are crucial, as much of the teamwork happens asynchronously. You'll also participate in brainstorming sessions and sprint planning to integrate AI solutions that meet both business and technical requirements.

What does a Software Engineer AI (Remote) do?

A Software Engineer AI (Remote) is responsible for designing, developing, and implementing artificial intelligence algorithms and systems while working from a remote location. They collaborate with teams to build machine learning models, integrate AI solutions into products, and ensure the scalability and reliability of AI-driven applications. In addition to coding and model training, they may also work on data preprocessing, deployment, and performance monitoring—all while communicating effectively with team members using digital tools.

What are the key skills and qualifications needed to thrive as a Software Engineer AI (Remote), and why are they important?

To thrive as a Software Engineer AI (Remote), you need a strong background in computer science, programming (Python, Java, C++), machine learning principles, and typically a degree in a related field. Familiarity with deep learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and version control systems (Git) is commonly required, along with relevant certifications. Excellent problem-solving, self-motivation, and clear communication are vital soft skills, especially for remote collaboration. These skills ensure you can develop effective AI solutions, work autonomously, and contribute meaningfully to distributed teams.

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

AspectSoftware Engineer Ai RemoteData Scientist Ai Remote
Required CredentialsBachelor's in CS or related field, programming skills, AI/ML knowledgeBachelor's or higher in CS, Statistics, or related, strong analytical skills
Work EnvironmentRemote, collaborative teams, software development lifecycleRemote, data analysis, model building, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for AI roles involving coding and software developmentCompared for roles focusing on data analysis and model deployment

While both roles work remotely and involve AI, Software Engineer Ai Remote primarily focuses on developing AI software and applications through coding, whereas Data Scientist Ai Remote emphasizes analyzing data, building models, and deriving insights. The choice depends on whether you prefer software development or data analysis within the AI field.

What are popular job titles related to Software Engineer Ai Remote jobs in Indiana? For Software Engineer Ai Remote jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Software Engineer Ai Remote jobs in Indiana look for? The top searched job categories for Software Engineer Ai Remote jobs in Indiana are:
What cities in Indiana are hiring for Software Engineer Ai Remote jobs? Cities in Indiana with the most Software Engineer Ai Remote job openings:
Software Engineer Ai Remote jobs near you
Lead, AI Engineering & SDLC Automation

Lead, AI Engineering & SDLC Automation

Agilent

On-site, Remote

$168K - $315K/yr

Full-time

Posted 19 days ago

Agilent Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

107th of 527 rated manufacturers

Job description

Job Description

We're looking for a Lead, AI Engineering & SDLC Automation (Director) to define and lead PSD's AI-enabled engineering automation strategy, roadmap, and delivery function. This role will lead a team responsible for delivering AI-assisted engineering capabilities, agentic workflow automation, and SDLC automation that meaningfully improve developer productivity and software delivery across the Productivity Solutions Division.

You will own the selection, integration, governance, and adoption of AI-enabled engineering tools and automation within developer workflows, partnering across DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to scale safe, reliable, and measurable AI-enabled software delivery practices.

Impact

Your leadership will help PSD accelerate software delivery by embedding AI-powered automation into the core of engineering workflows. You will improve developer productivity, reduce manual toil, increase consistency across the SDLC, and help teams adopt AI-enabled practices safely, reliably, and at scale.

What You'll Do

  • Lead and develop the AI Engineering & Automation team responsible for AI-assisted SDLC automation, developer workflow integration, and engineering productivity tooling.

  • Define team priorities, resource needs, operating cadence, performance expectations, and execution plans.

  • Own the roadmap for AI-enabled engineering automation across PSD, from tool selection and integration to adoption, measurement, and continuous improvement.

  • Deliver AI-assisted engineering tools, agentic workflows, copilots, and workflow automation with measurable productivity uplift.

  • Integrate AI automation into CI/CD pipelines, developer paved roads, engineering workflows, and platform services.

  • Establish governance, safety guardrails, evaluation criteria, usage standards, and secure integration patterns for responsible AI adoption in engineering workflows.

  • Partner with DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to embed automation into software delivery practices.

  • Prioritize AI automation investments based on productivity uplift, developer experience, quality, reliability, security, cost, and platform strategy.

  • Drive cross-organization adoption through enablement, documentation, training, feedback loops, and measurable adoption plans.

  • Resolve conflicting priorities across engineering productivity, security, reliability, cost, and responsible AI adoption.

  • Define and track success measures for AI-enabled engineering automation, including productivity, adoption, toil reduction, quality, reliability, and developer experience.

Qualifications

What You Bring

  • Typically 5+ years of experience formally or informally leading people, projects, and/or programs.

  • Bachelor's or Master's degree or equivalent experience.

  • Strong background in AI-enabled engineering, platform engineering, DevOps, developer productivity, workflow automation, or SDLC automation.

  • Experience leading teams, programs, or cross-functional initiatives in complex software engineering environments.

  • Experience translating organizational strategy into roadmaps, execution plans, governance models, and measurable outcomes.

  • Experience with AI agents, copilots, AI-assisted software engineering tools, ML-driven automation, or agentic workflow automation.

  • Strong understanding of CI/CD, SDLC tooling, developer workflows, engineering productivity tooling, and secure integration patterns.

  • Understanding of responsible AI adoption, AI governance, usage controls, safety guardrails, and secure deployment patterns.

  • Ability to influence senior stakeholders across engineering, product, security, QE, IT, and platform organizations.

  • Experience driving adoption, enablement, and behavior change across distributed engineering teams.

  • Ability to balance speed, productivity, quality, reliability, security, cost, and responsible AI use.

  • Strong analytical and communication skills, with the ability to translate productivity and adoption insights into practical roadmap decisions.

Additional Details

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least July 1, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $168,160.00 - $315,300.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: OccasionalShift: DayDuration: No End DateJob Function: R&D

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