Lead AI Engineer - AWS Platform

The PNC Financial Services Group, Inc.
Denver, CO, United States
3 days ago
Apply on www.builtincolorado.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$130,000.0 - $190,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Cloud Computing Continuous Integration Data Centers Information Engineering Distributed Systems Machine Learning OpenShift Release Management Software Systems
+12 more
SQL Databases Management of Software Versions Software Vulnerability Management Large Language Models AWS Lambda Containerization Kubernetes Build Tools Machine Learning Operations Data Pipelines Docker Microservices

Job description

We are modernizing our data and analytics ecosystem by embedding AI and Generative AI across core insurance platforms (Policy, Claims, Billing, and Enterprise systems)., * Build RAG pipelines using vector databases and enterprise data sources

  • Build machine learning models that automate their training, validation, monitoring, and retraining
  • Develop APIs and services to operationalize AI capabilities across the organization

Develop Data + AI Pipelines

  • Build ingestion for multimodal content and transformation pipelines for structured and unstructured data
  • Integrate AI workflows with enterprise systems (policy, claims, billing, etc.)
  • Ensure data quality, traceability, reliability, and governance in all AI pipelines

Operationalize Models (MLOps)

  • Implement CI/CD for AI/ML workflows
  • Deploy, monitor, and maintain models in production
  • Manage model versioning, performance monitoring, and retraining processes

Build on AWS

  • Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services
  • Contribute to evolving use of AWS Bedrock

Apply Responsible AI Practices

  • Implement guardrails for LLM-based systems (grounding, validation, safety)
  • Ensure secure handling of sensitive data (PII, financial, etc.)
  • Build systems aligned with enterprise governance and compliance standards

Lead by Doing

  • Provide technical guidance and mentorship to engineers
  • Contribute to engineering standards and reusable patterns
  • Partner with architects and business teams to deliver high-impact use cases, 75K-150K Annually Junior 75K-150K Annually Junior Machine Learning * Payments * Security * Software * Financial Services Develops, tests, deploys, maintains, and debugs software across the full project lifecycle. Translates business requirements into technical designs, supports production systems, documents solutions, estimates development tasks, collaborates with teammates, and mentors newer developers. The role requires application architecture, SDLC, testing, troubleshooting, and maintenance experience using Java, .NET, and/or Delphi, with Delphi preferred. Top Skills: .NetDelphiJava PNC Bank

Senior Software Engineer

2 Hours Ago Remote or Hybrid USA Senior level Senior level Machine Learning * Payments * Security * Software * Financial Services Designs, develops, tests, deploys, maintains, and debugs software solutions. Leads complex technical initiatives, Java microservices and API integration, OpenShift deployments, server and database administration, release management, production support, vulnerability remediation, incident resolution, and vendor coordination. Supports remote deposit platforms while managing application resiliency, security compliance, documentation, and stakeholder communication. Top Skills: AgileAPIsCandescent Remote Deposit/CaptureCloud-Native ArchitecturesConnect:DirectContainerizationDevOpsJavaLinuxMicroservicesMicrosoft Sql ServerOpenshift Container PlatformPowershellPythonSdlcShell ScriptingWindows Server PNC Bank

Requirements

Required

  • 10+ years in software, data engineering, 5 years AI/ML engineering
  • Hands-on experience building production AI/ML systems
  • Experience with RAG pipelines, LLMs, or NLP-based systems
  • Experience with AWS Bedrock or similar GenAI platforms
  • Experience with data pipelines and distributed systems
  • Experience deploying and operating systems in AWS
  • Working knowledge of MLOps practices (CI/CD, monitoring, versioning)

Preferred

  • Experience with vector databases (Pinecone, Weaviate, etc.)
  • Experience in regulated industries (insurance, finance, healthcare)
  • Exposure to microservices and containerized environments (Docker, Kubernetes)

Benefits & conditions

Posted Yesterday In-Office or Remote Hiring Remotely in Denver, CO, USA 130K-190K Annually Expert/Leader In-Office or Remote Hiring Remotely in Denver, CO, USA 130K-190K Annually Expert/Leader Build and scale production-grade AI and generative AI systems on AWS, including LLM applications, RAG pipelines, machine learning models, data pipelines, APIs, and MLOps workflows. Deploy, monitor, version, and retrain models while implementing responsible AI guardrails, governance, security, and compliance. Provide technical mentorship and collaborate with architects and business teams across insurance platforms. The summary above was generated by AI, We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members
  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
  • Free basic life and AD&D, long-term disability and short-term disability insurance
  • Medical, dental and vision plans to meet your unique healthcare needs
  • Wellness incentives
  • Generous time off program that includes personal, holiday and volunteer paid time off
  • Flexible work schedules and hybrid/remote options for eligible positions
  • Educational assistance, 136K-252K Annually Senior level 136K-252K Annually Senior level Machine Learning * Payments * Security * Software * Financial Services Leads enterprise infrastructure services across data center, compute, storage, networking, cloud, and hybrid environments. Oversees multiple teams, infrastructure strategy, modernization, capacity planning, architecture, lifecycle management, incident response, patching, security, risk, budgets, vendors, and executive communications. Drives transformation toward automated, software-defined platforms while developing management talent and ensuring reliable, secure infrastructure operations. Top Skills: Cloud ComputingCompute InfrastructureContainersData Center InfrastructureHybrid CloudInfrastructure As CodeIt Service ManagementNetwork InfrastructurePlatform EngineeringStorage Infrastructure

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