Infrastructure Optimization & AI Technical Lead
KeyBank
Brooklyn, OH; Remote, United StatesPosted Discovered via the company's careers siteMatch locked
RemoteFull time4+ years exp
Location
4910 Tiedeman Road, Brooklyn Ohio
The Infrastructure Optimization & AI (IOAI)
organization is transforming Enterprise Technology Services (ETS) from reactive operations and manual analysis toward proactive, predictive intelligence and governed Generative AI adoption. At the heart of this mission is the
Operational Digital Intelligence Platform (ODP)
and its flagship conversational intelligence product family, including
AskIT
,
Ask for Network
, and
AskIT for NOC
.
We are seeking a Technical Lead
who bridges the gap between high-level enterprise architecture and hands-on software development. In this role, you will define and implement scalable GCP architectures while actively writing and reviewing high-quality production code. You will serve as the technical authority across our core platform build, guiding cross-functional engineering squads in delivering robust data pipelines, deterministic policy engines, indexing and retrieval systems, and Google Enterprise AI agentic workflows.
1. Technical Leadership & Architecture Strategy
•
Architect Scalable Cloud Solutions
Design and implement modular, loosely coupled cloud architectures on GCP that scale independently and adhere to strict enterprise reliability and zero-trust standards.
•
Enforce Design Patterns
Establish canonical schemas, interface contracts, and reusable platform patterns across ingestion, normalization, storage, and AI reasoning layers.
•
Bridge Architecture & Squad Delivery
Translate product roadmaps and Architecture Review Board (ARB) specifications into actionable engineering milestones, technical spikes, and clear interface contracts.
•
Mentor & Guide Squad Engineers
Provide technical mentorship, code reviews, and architectural guidance to squad developers and partner engineering teams (including TCS engineers) across sprints.
2. Hands-On Software Engineering & Cloud Native Development
•
Backend Micro services
Develop high-performance, containerized micro services and jobs using
Python (FastAPI, Pydantic v2)
hosted on
GCP Cloud Run
.
•
Deterministic Policy Engines
Build deterministic validation and evaluation engines that isolate critical business logic (e.g., CIDR math, precedence rules) from probabilistic LLM outputs to guarantee zero hallucinations on deterministic operations.
•
Canonical Data Contracts
Implement strict schema validation and data contracts for ingesting structured and unstructured operational telemetry from systems like GitLab, Palo Alto Panorama, ServiceNow, and GCP APIs.
•
Resilience & Idempotency
Design idempotent pipelines, automated quarantine routing for malformed payloads, and self-healing deployment models.
3. AI, GraphRAG & Retrieval Orchestration
•
Agentic Orchestration
Architect conversational agent workflows using
Vertex AI Agent Builder
,
Gemini
, and agentic frameworks (e.g., LangGraph), integrating custom tool routing, memory, and complexity routing.
•
Knowledge Retrieval & GraphRAG
Implement advanced hybrid retrieval combining
Spanner Graph
, vector embeddings, and
Vertex AI Search
to power grounded, multi-hop operational reasoning.
•
Grounding & Provenance
Enforce 100% evidence provenance, ensuring all AI-generated responses carry verifiable citations linking back to authoritative rule IDs, commit hashes, or documentation.
•
AI Evaluation & Safety Gates
Partner with QA and AI Assurance teams to implement evaluation pipelines (using frameworks like Braintrust) to measure grounding, latency, and enforce safety gates (e.g., zero False ALLOWs on golden corpora).
4. Operational Excellence & Security
•
Zero-Touch CI/CD
Implement automated testing, container scanning, and zero-touch deployment pipelines to ensure repeatable, immutable cloud releases.
•
Security & Access Governance
Enforce Attribute-Based Access Control (ABAC), pre-retrieval entitlement filtering, Secret Manager integration, and Model Armor safety filters.
•
Observability & FinOps
Integrate end-to-end tracing across Cloud Logging and Cloud Monitoring; balance compute performance with GCP cost efficiency.
Required Qualifications & Experience
•
Hands-On Development Experience
5+ years of professional software development experience, with deep proficiency in
Python
(including modern async patterns, typing, and
Pydantic v2
).
•
Cloud Architecture & GCP Expertise
4+ years of hands-on architecture and engineering experience on
Google Cloud Platform
, specifically:
Serverless Compute & Orchestration
Cloud Run, Cloud Functions, Pub/Sub, Cloud Scheduler.
Data & Storage
BigQuery (partitioning, clustering, policy tags), Cloud Storage, and Cloud Spanner (Spanner Graph is a strong plus).
Security & IAM
Secret Manager, IAM roles/service accounts, and workload identity federation.
•
Modern AI & LLM Systems
Direct experience architecting applications leveraging
Google Vertex AI
(Gemini models, Agent Builder, Search, grounding pipelines, and vector embeddings) or frameworks like LangChain/LangGraph.
•
Data Contracts & System Design
Demonstrated track record designing distributed systems, RESTful APIs, event-driven pipelines, and canonical data models.
•
Technical Leadership
Proven ability to lead squads, mentor developers, define architectural standards, and drive consensus across engineering, product, and platform leadership.
•
Education
Bachelor's degree in Computer Science, Software Engineering, Mathematics, or equivalent practical enterprise experience.
Preferred Qualifications
•
GCP Certifications
Google Cloud Certified Professional Cloud Architect or Professional Data Engineer.
•
Network & IT Operations Domain Knowledge
Familiarity with enterprise network concepts (firewalls, CIDR routing), ServiceNow IT Service Management (ITSM/KM), or IT Operations Analytics.
•
AI Quality & Benchmarking
Experience building automated LLM evaluation harnesses, prompt regression suites, or synthetic evaluation datasets.
•
Financial Services Background
Experience navigating enterprise governance, model risk management, and regulatory compliance within a financial institution.
Core Operating Principles & Culture
As Technical Lead within IOAI, you will embody and drive our core engineering principles :
•
Zero Trust & Security First
Explicit verification and least-privilege access built into every tier.
•
Cloud First & Ephemeral Workloads
Prioritizing disposable, idempotent, and horizontally scalable cloud services.
•
Docs as Tests & AI
Treating documentation, run-books, and knowledge articles as governed, testable inputs for intelligent systems.
•
Keep It Simple & Reduce Variation
Standardizing reusable patterns over custom, one-off complexity.
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 11/26/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
#LI-Remote
Not included in the source posting: about the role, what you'll do, benefits.
Skills
artificial-intelligencegcpllmiampythonbigquerylangchainrest-apiserverlesszero-trustci-cdfastapi
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.