Principal Innovation Engineer - Hybrid

Genesis10 • Columbus, OH

5h • $100 - $110 • Hybrid

About The Position

This position will be responsible for driving this organization's 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.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related technical field
• Demonstrated hands-on experience building applications end-to-end (backend + integration + UI), including APIs and workflow automation solutions
• Deep hands-on Google Cloud engineering experience with demonstrated production deployment of applications and AI workloads within GCP
• Demonstrated production experience building AI-enabled applications using Vertex AI and Gemini; experience should extend beyond using Gemini or other GenAI tools solely as coding assistants
• Demonstrated hands-on experience architecting and building agentic or multi-agent systems using Google ADK, Agent Engine, LangGraph, or comparable orchestration frameworks
• Demonstrated experience building AI-enabled applications involving GenAI, RAG, model integration, evaluation, guardrails, and production deployment
• Strong experience designing AI gateway, LLM gateway, or model-proxy patterns covering model routing, authentication, security, policy enforcement, and governance
• Expert-level software engineering and application architecture skills with the ability to independently lead complex initiatives from concept to execution
• Comfortable operating in a fast-paced, ambiguous environment while managing multiple priorities and driving workplans proactively
• 10+ years of experience in software engineering, technology architecture, and end-to-end innovative solution delivery

Nice To Haves

• Experience building innovative digital products in a regulated environment (financial services preferred) with strong security and risk-awareness
• Experience deploying AI solutions in highly controlled environments using technologies or patterns such as VPC Service Controls (VPC-SC), private networking, DLP, and secure service-to-service communication
• Strong API design skills, integration patterns, and experience building services that can be reused across multiple use cases
• Experience deploying agentic and AI-enabled applications using Google Cloud Run or comparable cloud-native container platforms
• Experience implementing grounding/RAG solutions using Vertex AI Search / Discovery Engine or comparable enterprise retrieval technologies
• Experience implementing AI safety and security controls using Model Armor or comparable technologies
• Experience managing token usage, model consumption, observability, and AI-related cost governance
• Experience with modern front-end frameworks and rapid prototyping approaches (e.g., React/Next.js or equivalent), plus strong backend development depth
• Strong hands-on software engineering experience using one or more modern programming languages (e.g., Java, Python, TypeScript/JavaScript, or similar), with the ability to rapidly learn and apply new technologies as needed
• Demonstrated success creating reusable accelerators, including templates, libraries, reference implementations, AI patterns, and governance frameworks that scale delivery across teams
• Experience with AWS Bedrock, Azure OpenAI, or comparable AI platforms is beneficial when combined with demonstrated hands-on Google Cloud AI deployment experience
• Strong communication skills with the ability to explain architecture decisions, tradeoffs, and outcomes to technical and non-technical audiences
• Experience building with a product-centric mindset and ability to iteratively delivery; ability to create momentum while maintaining engineering discipline

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, LangGraph, 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 engineers, helping improve development velocity, quality, architectural consistency, and confidence across the team
• Contribute to innovation reporting by summarizing progress, decisions, tradeoffs, and outcomes in a clear way for senior stakeholders
• Champion a culture of innovation and forward thinking, educating teams about new possibilities and bring an "art of the possible” mindset to problem-solving

Benefits

• Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years
• The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years
• Access to an experienced, caring recruiting team (more than 7 years of experience, on average)
• Behavioral Health Platform
• Medical, Dental, Vision
• Health Savings Account
• Voluntary Hospital Indemnity (Critical Illness & Accident)
• Voluntary Term Life Insurance
• 401K
• Sick Pay (for applicable states/municipalities)
• Commuter Benefits (Dallas, NYC, SF, and Illinois)

What This Job Offers

• Job Type: Full-time
• Career Level: Principal