Staff AI Implementation Engineer | Bankrate
About The Position
We are looking for a Staff AI Implementation Engineer to serve as the central builder and operator of AI-powered automation across the company. This is a high-impact, entrepreneurial role reporting directly to the Head of AI Transformation. You will partner directly with leaders in Product, Marketing, Operations, Compliance, Commercial, HR, Finance, and other functions to identify high-value automation opportunities, then design, build, ship, and govern the AI agents that deliver them. You will operate across the full spectrum of implementation complexity from production-grade agentic systems built on platforms like Vertex AI, to rapid-deployment automations inside tools like Zapier. You will own the end-to-end lifecycle: scoping, prototyping, deploying, monitoring, and iterating. This is not a research role. We need someone who moves fast, ships constantly, and treats every cross-functional partner like a customer.
Requirements
- 7+ years of experience in software engineering, automation engineering, ML engineering, or a closely related technical role
- Demonstrated experience building and deploying AI/ML-powered applications or agentic systems in a production environment
- Strong understanding of A2A protocol, MCP architecture, and data structure for powering AI applications.
- Strong proficiency in Python and at least one cloud AI/ML platform (Vertex AI, AWS Bedrock/SageMaker, Azure AI)
- Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering
- Working knowledge of low-code automation platforms (Zapier, Make, n8n, or similar)
- Proven ability to work cross-functionally and communicate technical concepts to non-technical audiences
- Entrepreneurial mindset. You thrive in ambiguity, self-direct your work, and bias toward action and output over process
Responsibilities
- Design, build, and deploy AI agents and automated workflows that solve real business problems across multiple departments
- Lead the design of a custom Agent Harness via custom or managed solutions like Claude Managed Agents, building proprietary orchestration, state management, and 'human-in-the-loop' guardrails tailored specifically to the complexities of financial services.
- Develop high-code solutions (e.g., Vertex AI, LangChain, custom APIs) for complex, mission-critical use cases requiring fine-grained control
- Consult on low-code/no-code automations (e.g., Zapier, Make) for rapid-turnaround needs where speed and simplicity are paramount
- Architect reusable agent patterns, templates, and shared infrastructure to accelerate future builds
- Implement monitoring, logging, and observability frameworks for all deployed agents to ensure reliability and auditability
- Design and enforce governance policies around data access, model usage, prompt management, and output quality
- Act as a trusted technical partner to business stakeholders—translate ambiguous business needs into well-scoped automation solutions
- Run lightweight discovery and intake processes to prioritize the agent roadmap based on ROI and feasibilit
Benefits
- Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees
