Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 18 days ago

AI Engineer (On-Site, Indiana Only)

Allied Solutions LLC39 open roles

Where
Carmel, IN
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAI Engineer (On-Site, Indiana Only)Allied Solutions LLC · Carmel, IN

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Allied Solutions LLC's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Allied Solutions LLC postings stay open a median of 27 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted 18 days ago

Allied Solutions LLC median: 27 days open

The posting

An Artificial Intelligence Engineer architects, fine-tunes, and deploys AI solutions to streamline operations and unearth insights, driving innovation across diverse industries. With expertise in machine learning and cognitive technologies, they build predictive models that not only solve current challenges but also anticipate future trends. Their work revolutionizes data utilization, enhancing decision-making and setting new standards for operational excellence.

Job Duties and Responsibilities:

Hands-On Solution Implementation - 50%

  • Implementation: Configure, connect, and extend AI-enabled solutions using enterprise AI platforms, commercial products, automation tools, integrations, and lightweight supporting components.
  • AI Platform Integration: Design and build secure, reusable connections that enable enterprise AI platforms to access approved data, services, and business actions using APIs, connectors, orchestration tools, and emerging standards such as Model Context Protocol (MCP)
  • Prototyping: Build and validate proofs of concept to confirm feasibility, usability, performance, and expected value before broader implementation.
  • Production Delivery: Advance assigned solutions through testing, production readiness, launch, and operational handoff within the team's delivery priorities and practices.
  • Problem Resolution: Troubleshoot implementation issues and collaborate with platform, architecture, security, data, vendor, and business partners to resolve constraints.

Solution Discovery and Delivery Planning - 15%

  • Implementation Discovery: Work with business stakeholders and the AI Architect to understand the assigned workflow, users, pain points, desired outcomes, and measures of success.
  • Requirements and Data Readiness: Translate an approved use case into implementable requirements and acceptance criteria; identify required data, access, dependencies, and delivery constraints.
  • Workflow Validation: Validate the proposed future-state workflow through demonstrations, prototypes, and user feedback, surfacing practical implementation considerations and appropriate human decision points.
  • Delivery Planning: Provide estimates, technical findings, risks, and implementation options to support solution and delivery decisions.

Platform and Capability Solutioning - 15%

  • Capability Awareness: Maintain a strong understanding of Allied's enterprise platforms, approved technologies, data assets, integration capabilities, and reusable services.
  • Capability Fit: Evaluate candidate capabilities through hands-on research and experimentation, including generative AI, predictive machine learning, rules-based automation, analytics, and existing platforms.
  • Technical Findings: Document feasibility, performance, integration needs, implementation effort, limitations, and support considerations to inform solution decisions; work with the AI Architect and platform owners to ensure the selected approach follows enterprise patterns and guardrails.
  • Recommendations: Develop clear solution recommendations based on business fit, implementation speed, security, integration, cost, scalability, and ongoing support needs.

Responsible, Reliable, and Sustainable Implementation - 10%

  • Responsible Delivery: Implement applicable Responsible AI, privacy, security, legal, accessibility, and data-governance requirements.
  • Testing and Evaluation: Define and execute evaluations appropriate to the solution type, including business effectiveness, usability, accuracy, precision and recall where applicable, groundedness, bias, drift, failure handling, human oversight, and escalation.
  • Operational Readiness: Implement appropriate monitoring, feedback mechanisms, documentation, and support procedures.
  • Sustainable Design: Consider maintainability, platform alignment, vendor dependencies, technical debt, and operational overhead in implementation decisions.

Adoption, Measurement, and Reuse - 10%

  • User Enablement: Partner with Enablement Lead and business teams to provide guidance, demonstrations, training, and other support needed for effective adoption.
  • Continuous Improvement: Gather usage information, user feedback, business results, and relevant platform or vendor changes to recommend improvements, simplification, scaling, replacement, or retirement.
  • Knowledge Reuse: Create and share reusable configurations, workflow patterns, implementation documentation, and lessons learned.

Qualifications (Education, Experience, Certifications & KSA):

  • Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field is required.
  • Master's degree preferred.
  • Relevant work experience may be considered as an equivalent for education requirements.
  • 4+ years of professional experience in AI or related fields required.
  • Experience in developing and implementing AI models and systems.
  • Experience with cloud computing services (AWS, Azure, Google Cloud) is a plus.
  • Portfolio of projects or contributions to open-source projects demonstrating expertise in AI.
  • Proficient in programming languages such as Python, R, or Java. In-depth knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NLTK).
  • Strong ability to work with large data sets and complex algorithms. Proficient in data structures, statistical modeling, and computer science fundamentals.
  • Excellent problem-solving skills and the ability to think algorithmically.
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Analytical and decision-making.
  • Ability to work independently and as part of a team.
  • Ability to meet deadlines and work under pressure.
  • Ability to think strategically and tactically.

#LI-ID1

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.

We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.

All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

To view our privacy statement click here

To view our terms and conditions click here

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Allied Solutions LLC's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Allied Solutions LLC's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Allied Solutions LLC's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.