Senior AI Engineer – AI Governance

Abotts Partners with singapore based tech giant to help migrate their public sector customer from Sybase to SQL server.

Abotts partners with NYPL to integrate with their partner libraries.

ABOTTS partners with County in Los Angeles to upgrade their court infrastructure into new technologies.

Upworks Inc partners with ABOTTS to build their Oracle Cloud Infrastructure (OCI) and migrate their custom applications to OCI.

Abotts partners with startup to manage and maintain their IT infrastructure and support SOC2 reporting.

Abotts Inc Partners with Gnorth consulting to deploy exadata and ODA for a large public sector customer.

Abotts Partners with singapore based tech giant to help migrate their public sector customer from Sybase to SQL server.

Abotts partners with NYPL to integrate with their partner libraries.

ABOTTS partners with County in Los Angeles to upgrade their court infrastructure into new technologies.

Upworks Inc partners with ABOTTS to build their Oracle Cloud Infrastructure (OCI) and migrate their custom applications to OCI.

Abotts partners with startup to manage and maintain their IT infrastructure and support SOC2 reporting.

Abotts Inc Partners with Gnorth consulting to deploy exadata and ODA for a large public sector customer.

Location: Onsite (Eden Prairie, Minnesota, United States)
Employment Type: Contract
Experience: 8+ years
Work Arrangement: Onsite

Job Summary

We are seeking a Senior AI Engineer – AI Governance to lead the design, implementation, and governance of enterprise AI and machine learning systems. The ideal candidate will combine strong hands‑on experience in AI/ML engineering, Generative AI, LLMs, cloud AI platforms, and MLOps with a strong understanding of AI governance, responsible AI, model risk management, security, privacy, and regulatory requirements
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The candidate will work closely with engineering, security, legal, compliance, data, and business teams to ensure that AI solutions are secure, explainable, transparent, reliable, compliant, and aligned with organizational policies and applicable regulations
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The role will involve establishing AI governance frameworks, developing AI risk and control mechanisms, evaluating AI models and applications, and supporting the responsible deployment of AI across the organization.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML and Generative AI solutions for enterprise applications.
• Develop and integrate LLM-based applications, AI agents, RAG pipelines, embeddings, vector databases, and AI APIs
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• Work with models and platforms such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or similar AI platforms
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• Develop AI solutions using Python and modern AI/ML frameworks and libraries
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• Design and implement production‑ready AI architectures across cloud environments.
• Build and maintain MLOps/LLMOps pipelines for model development, evaluation, deployment, monitoring, and lifecycle management.
• Optimize AI systems for performance, scalability, reliability, cost, and security.
• Implement automated testing and evaluation frameworks for AI/ML and GenAI applications.

AI Governance & Responsible AI

• Develop and implement an enterprise‑wide AI Governance Framework covering the complete AI lifecycle.
• Establish governance processes for AI use‑case identification, risk assessment, approval, development, deployment, monitoring, and retirement
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• Define and maintain AI policies, standards, procedures, and technical controls.
• Establish AI risk classification and assessment methodologies based on business impact, data sensitivity, model capabilities, and potential risks.
• Develop governance controls for Generative AI, LLMs, AI agents, and third‑party AI services
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• Establish processes for model documentation, including model cards, system…