Senior AI Integration Engineer

Pay

Pay Range: $151,900.00 - $243,100.00

About the role

Work independently and collaboratively to design, implement, and optimize the integration of AI solutions within enterprise systems. Serve as a strategic expert who bridges advanced AI technologies and existing business applications, ensuring secure, scalable, and ethical deployment of AI-driven workflows. Lead initiatives with IT, data science, cloud engineering, cybersecurity and business units to deliver intelligent automation, enhance operational efficiency, and accelerate innovation.

Responsibilities

• Design and lead secure, scalable API and system integrations between AI systems (LLMs, ML models, intelligent agents) and enterprise platforms such as ERP, CRM, and cloud services.
• Develop integration strategies that align with organizational goals and technical feasibility.
• Define and evolve AI strategies to support business objectives.
• Advise on AI adoption opportunities, identify areas for efficiency and innovation, and stay current with advancements in AI, ML, and LLM technologies.
• Build, tune, and deploy custom AI models and algorithms for specific use cases.
• Implement and maintain MLOps pipelines for model deployment, monitoring, and lifecycle management using modern tools.
• Assist in data architecture, preparation, and sanitization for effective AI model utilization.
• Evaluate existing systems and recommend AI-driven improvements to enhance functionality and efficiency.
• Ensure ethical AI use by implementing governance frameworks and adhering to organizational, regulatory, and privacy standards.
• Maintain data security and compliance throughout AI solution development and deployment.
• Monitor, analyze, and optimize AI system performance, resource utilization, and reliability.
• Design automated testing frameworks to validate accuracy, reliability, and compliance.
• Lead discussions with data scientists, DevOps, and product teams to translate business requirements into AI-enabled solutions.
• Provide technical leadership to ensure scalability, security, and alignment with business needs.
• Document integration processes and maintain technical records.
• Communicate complex AI concepts to technical and non-technical stakeholders and proactively recommend improvements to systems and workflows based on emerging best practices.
• Mentor engineers and guide cross-functional teams toward high-impact AI outcomes.
• Perform other duties as assigned.

Requirements

• Bachelor’s in computer science, Artificial Intelligence, Engineering, or related field, or an equivalent combination of education and related work experience.
• Five to seven years of experience in AI and Machine Learning technologies.
• Proficiency in Python, Java, or similar programming languages.
• Deep experience with API development, cloud platforms, vector databases, and modern AI frameworks (e.g. Azure Open AI).
• Strong experience in prompt engineering, LLM tuning and NLP tasks.
• Experience with observability for prompts/models (hallucination detection, guardrails, cost/latency tracking).
• Strong understanding of distributed systems, microservices, and CI/CD practices.
• Ability to lead multiple complex initiatives in a fast-paced environment.
• Excellent problem-solving, communication, and collaboration skills.
• Strategic and critical thinking with a focus on customer experience and business value.
• Ability to work effectively with a wide variety of people in individual and group settings.
• Strong organizing skills, with the ability to prioritize and respond to shifting deadlines.

Qualifications

The Extras:

• Master’s degree in computer science, Artificial Intelligence, Engineering, or related field.
• Certifications in AI/ML or cloud platforms (Azure, Google) are highly valued.
• Experience with AI governance, ethical AI frameworks, and compliance requirements.