AI Engineer (On-Site, IN)

Allied Solutions LLC • Carmel, IN

4d • Onsite

About The Position

The AI Engineer architects, fine-tunes, and deploys AI solutions to streamline operations, uncover insights, and drive innovation across industries. The role builds predictive models and other AI-enabled solutions to address current challenges, anticipate trends, improve decision-making, and support operational excellence at Allied.

The engineer implements and integrates AI-enabled solutions using enterprise platforms, commercial products, automation tools, APIs, connectors, orchestration tools, and supporting components. The role includes prototyping, testing, production launch and handoff, troubleshooting, and collaboration with technical and business partners. The engineer also works with stakeholders and the AI Architect to clarify workflows and requirements, assess data readiness and technical capabilities, validate proposed workflows, and provide delivery estimates and recommendations.

The position requires responsible, secure, reliable, and sustainable implementation, including appropriate evaluation, monitoring, documentation, and support procedures. The engineer partners with business teams to encourage adoption, assess outcomes, improve solutions, and share reusable configurations and lessons learned.

Requirements

• Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field; relevant work experience may be considered equivalent to education requirements.
• At least 4 years of professional experience in AI or related fields.
• Experience developing and implementing AI models and systems.
• Proficiency in programming languages such as Python, R, or Java.
• In-depth knowledge of machine learning frameworks such as TensorFlow or PyTorch and libraries such as scikit-learn or NLTK.
• Ability to work with large data sets and complex algorithms.
• Proficiency in data structures, statistical modeling, and computer science fundamentals.
• Strong problem-solving skills and ability to think algorithmically.
• Strong communication skills, including explaining complex technical concepts to non-technical stakeholders.
• Analytical and decision-making skills.
• Ability to work independently and as part of a team.
• Ability to meet deadlines and work under pressure.
• Ability to think strategically and tactically.

Nice To Haves

• Master’s degree.
• Experience with cloud computing services such as AWS, Azure, or Google Cloud.
• Portfolio of projects or contributions to open-source projects demonstrating expertise in AI.

Responsibilities

• Configure, connect, and extend AI-enabled solutions using enterprise AI platforms, commercial products, automation tools, integrations, and lightweight supporting components.
• Design and build secure, reusable connections that let enterprise AI platforms access approved data, services, and business actions through APIs, connectors, orchestration tools, and standards such as Model Context Protocol (MCP).
• Build and validate proofs of concept to assess feasibility, usability, performance, and expected value.
• Advance assigned solutions through testing, production readiness, launch, and operational handoff.
• Troubleshoot implementation issues and collaborate with platform, architecture, security, data, vendor, and business partners to resolve constraints.
• Work with business stakeholders and the AI Architect to understand workflows, users, pain points, desired outcomes, and measures of success.
• Translate approved use cases into implementable requirements and acceptance criteria; identify data, access, dependencies, and delivery constraints.
• Validate future-state workflows through demonstrations, prototypes, and user feedback, identifying implementation considerations and human decision points.
• Provide estimates, technical findings, risks, and implementation options to support solution and delivery decisions.
• Maintain understanding of Allied's enterprise platforms, approved technologies, data assets, integration capabilities, and reusable services.
• Research and experiment with candidate capabilities, including generative AI, predictive machine learning, rules-based automation, analytics, and existing platforms.
• Document feasibility, performance, integration needs, implementation effort, limitations, and support considerations; work with the AI Architect and platform owners to follow enterprise patterns and guardrails.
• Develop solution recommendations based on business fit, implementation speed, security, integration, cost, scalability, and ongoing support needs.
• Implement applicable Responsible AI, privacy, security, legal, accessibility, and data-governance requirements.
• Define and execute evaluations appropriate to the solution, including business effectiveness, usability, accuracy, precision and recall where applicable, groundedness, bias, drift, failure handling, human oversight, and escalation.
• Implement appropriate monitoring, feedback mechanisms, documentation, and support procedures.
• Consider maintainability, platform alignment, vendor dependencies, technical debt, and operational overhead in implementation decisions.
• Partner with the Enablement Lead and business teams to provide guidance, demonstrations, training, and other support for adoption.
• Gather usage information, user feedback, business results, and relevant platform or vendor changes to recommend improvements, simplification, scaling, replacement, or retirement.
• Create and share reusable configurations, workflow patterns, implementation documentation, and lessons learned.

Benefits

• Medical, dental, and vision insurance coverage.
• 100% company-paid life and disability coverage.
• 401(k) options with company match.
• Three weeks of PTO by the end of the first year.
• Career growth opportunities and promotion from within.
• Broad career options across Allied's business portfolio while remaining with the same organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level