Remotery

AI Development Engineer

atNetCovRemoteUS flagUnited StatesFull-timeArtificial IntelligenceMid-levelSenior$100k – $140k/year

Posted Aug 1

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and implement AI-driven solutions utilizing the Hatz AI platform as the core technology.

• Evaluate customer data sources and requirements to determine the appropriate solution architecture, establishing secure and compliant data pipelines that connect customer systems to AI workflows.

• Act as the primary resource for deploying customer AI requests, executing technical implementations of AI Agents, Workflows, and Applications within production settings.

• Maintain a strong expertise with the Hatz AI platform, which serves as NetCov's principal AI solution.

• Keep up-to-date knowledge of the Microsoft Co-Pilot and Anthropic Claude ecosystems, including integration points, deployment models, API functionalities, and common use cases.

• Provide troubleshooting support for customer-managed Co-Pilot and Claude deployments upon request and assist customers in optimizing their existing Microsoft and Anthropic AI investments.

• Assess requests across all three platforms to recommend optimal solution architectures, including decisions on migrating workloads between platforms.

• Evaluate customer data sources for quality, completeness, and suitability for AI, collaborating with customers to address issues that might impact solution performance.

• Design workflows for data validation, cleansing, and preparation, while establishing architectural patterns that separate, secure, and govern customer data across Hatz, Co-Pilot, and Claude.

• Document specifications for data sources, transformation logic, and governance policies for every deployment.

• Ensure that data handling practices comply with customer requirements, privacy regulations, and NetCov’s security policies; identify gaps that necessitate project work or vendor solutions.

• Monitor and respond to customer-facing AI tickets in HaloPSA, evaluating scope, classification, and platform selection.

• Provide technical troubleshooting, data diagnostics, and optimization recommendations.

• Deliver timely, high-quality solutions that meet service level agreements, communicating any data quality or architectural constraints that may affect feasibility.

• Identify requests that require formal projects rather than support tickets, such as complex data integration, platform migrations, and multi-platform initiatives, while advising the SVP of Innovation on qualification, scope, and resources.

• Define and refine ticket categories in HaloPSA for AI services, including multi-platform support, and track reporting metrics like platform usage and support volume by ecosystem to guide team growth, hiring, and process enhancements.

• Generate and monitor reporting metrics to drive process improvements, including patterns in platform usage and support volume by AI ecosystem.

• Recognize trends in customer requests, platform preferences, and pain points that indicate market demand and opportunities for deeper engagement across all three ecosystems.

• Utilize advanced prompt engineering techniques tailored for Hatz AI, Co-Pilot, and Claude, while understanding the strengths, limitations, and use case alignments of each platform.

• Advocate for AI security and data governance standards across all deployments.

• Document solutions, configurations, and lessons learned to enhance organizational knowledge, while staying informed about AI/ML advancements, platform updates, and industry best practices.

• Collaborate closely with the AI & Development Director to align deployments with internal development roadmaps and data architecture standards.

• Work with cross-functional teams on both internal and client-facing projects, effectively communicating requirements, data needs, and progress to stakeholders at all levels.

• Partner with customer IT and data teams regarding existing data systems, governance policies, and AI deployments; liaise with Microsoft and Anthropic support as necessary.


⛳️ Requirements

• Proven experience in deploying AI/ML solutions or similar technical implementations within production environments.

• Strong understanding of prompt engineering principles, best practices in AI security, and considerations for data governance.

• Familiarity with customer data sources and challenges related to data quality; experience with ETL/ELT processes or API-based data integrations is a plus.

• Knowledge of ticketing and service management systems (experience with HaloPSA is advantageous).

• Exceptional technical communication skills, capable of engaging both technical and non-technical audiences.

• Ability to solve problems independently and thrive in a fast-paced, growing team environment.

• Working knowledge of, or ability to rapidly learn, multiple AI platforms and their associated tools.

• Previous experience with the Hatz AI platform or comparable AI-as-a-service solutions is preferred.

• Hands-on experience with Microsoft Co-Pilot, Azure OpenAI, or Anthropic Claude API/platform integrations is preferred.

• Background in customer-facing technical support, professional services, project management, or service delivery is preferred.

• Experience in defining support processes and categorization systems in managed services or MSP environments is preferred.

• Experience with data quality assessment, validation, or master data management; familiarity with compliance frameworks such as GDPR, CCPA, or HIPAA is preferred.

• Background in data architecture or database administration is preferred.


🏝️ Benefits

• Innovative Solutions: Engage with cutting-edge cybersecurity and IT services designed to meet the evolving needs of the financial sector.

• Competitive Compensation: Receive a competitive base salary along with performance-based incentives and commissions.

• Professional Growth: Benefit from continuous training, career development opportunities, and pathways for advancement within a rapidly expanding company.

• Collaborative Culture: Join a team of dedicated professionals who work collectively to tackle complex challenges and provide exceptional service to our clients.

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