What are the responsibilities and job description for the AI Engineer position at SCIGON?
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Pay Rate; $52-$70/hour
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Overview
We are seeking an Applied AI Engineer to help design, deploy, and operationalize enterprise AI capabilities. This individual will play a key role in enabling AI-powered solutions through native platform functionality, delivering practical business outcomes, and ensuring compliance with enterprise governance and security standards.
The ideal candidate combines hands-on experience with modern LLM platforms, strong software engineering fundamentals, and the ability to work directly with business partners to translate ideas into production-ready solutions.
Key Responsibilities- Design, deploy, and manage reusable AI capabilities within enterprise AI platforms, including skills, tools, and plug-in functionality.
- Drive the complete lifecycle of AI enablement solutions, from intake and configuration through deployment, governance, ongoing support, and optimization.
- Configure foundation models such as Claude, Gemini, and similar technologies to support enterprise automation and business workflows.
- Deliver AI solutions from concept through production implementation, ensuring scalability, security, and operational readiness.
- Integrate existing enterprise systems, services, and approved tools using available connectivity frameworks and protocols.
- Collaborate with Security, Cloud, and Infrastructure teams to implement appropriate access controls, identity management practices, and credential governance.
- Ensure solutions comply with established AI governance standards, including auditability, monitoring, risk controls, and operational guardrails.
- Partner with engineering, automation, data, and business teams to identify opportunities and deliver impactful AI-driven capabilities.
- Proven experience developing, publishing, and managing Claude Skills or plug-ins in a production environment.
- Demonstrated success deploying AI capabilities that are actively used by business stakeholders.
- Ability to contribute immediately with minimal onboarding and ramp-up time.
- Experience building and deploying technology solutions within regulated or highly governed enterprise environments.
- Strong understanding of security controls, compliance requirements, access management, and operational governance.
- Comfortable working within structured delivery processes and change-control frameworks.
- Strong communication and stakeholder management abilities.
- Capable of translating business challenges into practical AI-enabled solutions.
- Experience collaborating with both technical and non-technical audiences.
- 5 years of experience in software engineering, automation engineering, or a related technical discipline.
- At least 2 years of experience designing and deploying production-grade solutions powered by large language models.
- Strong proficiency in Python development and API-based integrations.
- Experience with enterprise software integration patterns and distributed systems.
- Solid engineering practices, including testing, source control, observability, monitoring, and supportability.
- Hands-on experience with modern LLM ecosystems, including prompt engineering, model configuration, tool integration, and function execution.
- Experience working within public cloud environments such as Azure, Google Cloud Platform, Vertex AI, or equivalent technologies.
- Ability to evaluate AI use cases pragmatically and determine when traditional engineering approaches may be more effective.
- Self-directed and capable of independently leading technical initiatives in a fast-moving environment.
- Experience building AI agents and multi-agent workflows.
- Familiarity with orchestration platforms and agent frameworks.
- Understanding of Model Context Protocol (MCP) implementations and agent-to-agent integrations.
- Experience with RAG architectures, vector databases, embeddings, and semantic search solutions.
- Knowledge of modern identity and access management concepts, including RBAC, service accounts, agent identities, and least-privilege models.
- Previous experience supporting organizations operating within highly regulated industries such as insurance, financial services, healthcare, or similar sectors.
Salary : $52 - $70