Principal Innovation Engineer - Hybrid or Remote

Genesis
10 is currently seeking an Innovation Principle Engineer for a contract to hire position with a Regional Financial Institution. This position can work on a hybrid or can work remotely in the footprint locations of Columbus, OH;
Minnetonka, MN;
Atlanta, GA:
Dallas, TX;
Detroit, MI;
Chicago, IL Compensation: $100.00 - $110.00 per hour, W2, based on qualifications

Position Overview:

This position will be responsible for driving this organizations most complex innovation initiatives by designing and building end-to-end, production-grade prototypes and reusable technology assets, including AI-enabled and agentic applications within Google Cloud, while setting high engineering standards for solution architecture, application design, security, governance, and delivery acceleration across the Technology Innovation portfolio. This role requires strong hands-on full-stack engineering skills, the mindset of a startup innovator in a large organization, deep experience building AI-integrated applications end-to-end, developing APIs and user experiences, and the ability to operate independently with limited supervision in a fast-paced innovation environment.

The ideal candidate will bring demonstrated production experience with Vertex AI, Gemini, agent frameworks, AI gateway/model-proxy patterns, and enterprise-grade deployment of AI workloads.

Key Responsibilities:

Lead the design and delivery of high-impact innovation solutions aligned with the organization's business goals and technology trends in financial services Architect and build end-to-end prototypes, production-ready solutions, and reusable assets, including AI-enabled applications, agentic workflows, APIs, workflow automations, and integrations Translate AI innovation concepts, including GenAI, RAG, and agentic patterns, into production-grade applications using Google Cloud technologies such as Vertex AI and Gemini Architect and implement agent-based and multi-agent systems using frameworks such as Google ADK, Agent Engine, Lang Graph, or equivalent technologies Design and oversee cloud-native deployment patterns for AI applications and agent services, ideally using Cloud Run, CI/CD, observability, logging, monitoring, and secure environment configuration Architect or integrate with AI gateways and model-proxy layers supporting model routing, authentication, access controls, guardrails, policy enforcement, and usage governance Define grounding and Retrieval-Augmented Generation (RAG) patterns using Vertex AI Search / Discovery Engine or comparable enterprise retrieval technologies Establish AI governance patterns covering token usage, model consumption, cost management, security controls, guardrails, evaluation, and observability Build solutions with a future-proof mindset, laying a solid foundation for development and preventing the need for costly redesigns Establish and evolve engineering standards for innovation delivery, including reference architectures, reusable templates, code quality, API patterns, agent orchestration patterns, integration patterns, and secure AI development standards Partner with other technology teams to align on enterprise architecture, identity / access patterns, data access, compliance needs, private networking, and reuse opportunities Evaluate emerging technologies and developer tooling, including Digital Assets, AI-assisted development, orchestration frameworks, app frameworks, integration approaches, and AI governance technologies, and assess applicability to the client's environment Drive technical problem-solving across ambiguous domains;

proactively decompose work into deliverable increments and lead execution to complete finished outcomes Provide technical mentorship and guidance to…