Senior AI Integration Engineer

WorkTrust Solutions; Rhode Island; Hybrid; USD 140,000 - 200,000; Full time

Job summary

WorkTrust Solutions is seeking a Senior AI Integration Engineer to lead the enterprise AI strategy and adoption, evaluating technologies, defining standards, and guiding vendor selection across the organization.

You will collaborate with Data Science, Cloud, DevOps, Security, and Enterprise Architecture teams to build secure, scalable AI solutions, establish governance, and mentor cross‑functional staff.

Qualifications

• Bachelor's degree or higher in a technical field.
• 7-10+ years designing and implementing AI/ML in enterprise environments.
• Strong programming experience with Python, Java, or similar languages.
• Hands-on with Azure OpenAI and modern AI frameworks.
• Deep expertise in API development, cloud platforms, distributed systems, microservices, and enterprise integrations.

Responsibilities

• Design, develop, and implement secure, scalable integrations between AI platforms and enterprise apps.
• Define and execute the enterprise AI platform strategy and long-term adoption roadmap.
• Lead evaluations of AI platforms and vendors; participate in RFIs/RFPs and PoCs.
• Build and deploy AI-enabled solutions using modern AI frameworks; including Azure OpenAI.
• Design prompt engineering, RAG, LLM optimization, and NLP solutions.
• Build and maintain MLOps pipelines for deployment, monitoring, and lifecycle management.
• Establish AI governance standards, guardrails, and reusable integration patterns.
• Provide architectural guidance for AI agents and AI-enabled applications.
• Integrate structured/unstructured data sources to support AI initiatives.
• Monitor AI performance via observability and testing; manage costs.

Skills

Python

Java

API development

Cloud platforms

Distributed systems

Microservices

Enterprise integrations

LLMs

Prompt engineering

RAG

NLP

MLOps

CI/CD

AI governance

Leadership

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or related field

Tools

Azure OpenAI

Vector databases

CI/CD tools

Job description

We have been engaged in a national search for a Senior AI Integration Engineer to help lead the organization's enterprise AI strategy and adoption. You will play a pivotal role in evaluating AI technologies, defining enterprise standards, guiding vendor selection, and integrating AI solutions across the organization.

This role combines hands‑on engineering with technical leadership, partnering with business leaders, Data Science, Cloud Engineering, DevOps, Cybersecurity, and Enterprise Architecture to build secure, scalable, and governed AI solutions. You will establish best practices for AI integration, oversee AI agent development, and help shape the future of AI across the enterprise.

In this role, the Senior AI Integration Engineer will:

• Design, develop, and implement secure, scalable integrations between AI platforms (LLMs, machine learning models, intelligent agents) and enterprise applications using APIs and cloud‑native technologies.
• Partner with technology leadership to define and execute the organization's enterprise AI platform strategy and long‑term AI adoption roadmap.
• Lead technical evaluations of AI platforms and vendors, participate in RFI/RFP processes, perform proof‑of‑concept assessments, and recommend enterprise AI solutions.
• Build, optimize, and deploy AI‑enabled solutions using modern AI frameworks, including Azure OpenAI and other enterprise AI technologies.
• Design and implement prompt engineering strategies, Retrieval‑Augmented Generation (RAG), LLM optimization, and NLP solutions.
• Build and maintain MLOps pipelines for model deployment, monitoring, observability, and lifecycle management.
• Establish AI governance standards, technical guardrails, reusable integration patterns, and best practices to ensure secure, ethical, and compliant AI implementations.
• Provide technical oversight and architectural guidance for AI agents and AI‑enabled applications developed internally and by third‑party vendors.
• Integrate structured and unstructured enterprise data sources to support AI initiatives and improve business processes.
• Monitor AI performance through model observability, prompt optimization, hallucination detection, latency monitoring, cost tracking, and automated testing.
• Collaborate with business and technology stakeholders to identify, prioritize, and implement AI use cases.
• Serve as a technical mentor and trusted advisor, communicating complex AI concepts to both technical and non‑technical audiences while helping establish enterprise AI standards.

The appropriate individual will have clearly demonstrated experience in the following:

• Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline (or equivalent experience).
• 7 - 10+ years of experience designing and implementing AI and Machine Learning solutions within enterprise environments.
• Strong programming experience with Python, Java, or similar object‑oriented languages.
• Hands‑on experience with enterprise AI platforms such as Azure OpenAI and modern AI frameworks.
• Deep expertise in API development, cloud platforms, distributed systems, microservices, and enterprise integrations.
• Experience with Large Language Models (LLMs), prompt engineering, vector databases, Retrieval‑Augmented Generation (RAG), AI agents, and Natural Language Processing (NLP).
• Designing and supporting MLOps pipelines and CI/CD deployment practices.
• Knowledge of AI observability, prompt/model monitoring, hallucination detection, guardrails, and model performance optimization.
• Establishing AI governance, security, privacy, and responsible AI practices.
• Strong strategic thinking, problem‑solving, communication, and leadership skills with the ability to influence cross‑functional teams and drive enterprise AI initiatives.

Preferred Qualifications

• Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
• Microsoft Azure AI Engineer, Azure Solutions Architect, Google Cloud AI, or other AI/ML certifications.
• Experience evaluating enterprise AI vendors and leading technical due diligence or platform selection initiatives.
• Experience working in healthcare, insurance, or other highly regulated industries.
• Knowledge of regulatory compliance, data privacy, and ethical AI governance frameworks.

Please Note: This is a full‑time employee role. This role is not open to C2C. We are not working the third‑party firms for this engagement. Our client is not sponsoring visa's for this role.

Work Environment

This role is fully remote or can be hybrid in Rhode Island. Remote candidates must reside in one of the following states: Arizona, Connecticut, Florida, Georgia, Louisiana, Massachusetts, North Carolina, Oklahoma, Rhode Island, South Carolina, Texas, Virginia