Head of Estates Development

Development Manager - Ai Agent & Full Stack Development

ICE Mortgage Technology is digitizing and automating the entire real estate and housing finance lifecycle so critical data can flow seamlessly from one process to the next creating a better experience for the homeowner, lender and servicer. We are providing configurable technology, extensive data and comprehensive analytics that span the entire loan life cycle.

The Development Manager - AI Agent & Full Stack Development will be responsible for managing the end-to-end delivery of AI-powered agent systems and intelligent automation solutions that enhance our mortgage servicing capabilities. This role combines hands-on technical leadership with operational excellence, overseeing release management, environment operations, team delivery, and cross-functional coordination to ensure our next-generation intelligent applications are built, deployed, and maintained at production scale across multi-tenant SaaS environments.

Manages day-to-day delivery of AI agent and full stack development initiatives, ensuring on-time, high-quality releases aligned with business objectives and quarterly roadmap commitments

Owns and drives operational excellence including release management, environment provisioning and maintenance (on-premises and AWS), observability and alerting setup, and incident triage across development, staging, and production environments

Coordinates with Operations teams on environment setups, infrastructure changes, deployment activities, and production support escalations

Manages ServiceNow (SNOW) ticketing workflows for incident management, change requests, and service requests, ensuring SLA adherence and timely resolution

Administers and maintains Azure DevOps (ADO) for project management including Features, Stories, Tasks, sprint planning, backlog grooming, and release tracking

Provides technical leadership and people management to a team of software engineers, ensuring professional growth, skill development, and alignment with organizational goals

Keeps up to date with trends in AI as it relates to solving business problems and guides the team in adopting best practices for AI/ML development and deployment

Partners with Product Management, Architecture, QA, and DevOps teams to translate business requirements into actionable engineering plans with clear milestones and deliverables

Designs and oversees the development of APIs necessary to affect front end functionality and/or be consumed by other partners

Ensures full stack design and development quality across projects involving application development, migrations, and additions to existing applications

Oversees front end application development utilizing React, Angular, Node.js, etc. in close accord with a UX team and ensures the responsiveness of those applications

Oversees development of code libraries and APIs using Python and Java (Spring Boot)

Manages delivery of AI solutions using AWS Bedrock and related services

Enforces secure development practices which encompass secure coding, testing, access control, and secure deployment to build robust and resilient applications, with particular emphasis on protecting Non-Public Information (NPI) and Personally Identifiable Information (PII)

Ensures compliance with data privacy regulations and security standards applicable to financial services and mortgage industry (e.g., Oversees the design and creation of data models for applications and databases

Facilitates software design meetings and analyzes user needs to determine technical requirements

Ensures development and execution of test protocols with an emphasis on automated Unit Tests, Component Tests, and Scenario Tests

Manages documentation and procedures for installation, maintenance, and operational runbooks

Mentors and guides software development staff, conducting regular code reviews, 1:1s, and performance assessments

Manages capacity planning, resource allocation, and hiring activities to support team growth and delivery commitments

Establishes and tracks engineering KPIs including velocity, quality metrics, deployment frequency, mean time to recovery (MTTR), and AI-specific metrics such as LLM token usage, agent response times, and tool call success rates

Remains current on industry standards in web development and AI/ML operations

A Bachelor's or Master's degree in Computer Engineering, Computer Science, or other related discipline; 10+ years of experience in Software Development with 3+ years in a people management or team lead capacity

• Demonstrated experience managing engineering teams in a SaaS provider environment delivering multi-tenant applications at scale
• Prior experience working in industries that handle Non-Public Information (NPI) and Personally Identifiable Information (PII) such as Financial Services, Mortgage, Banking, Insurance, or Healthcare
• Proven track record of delivering AI/ML applications to production including predictive AI, Generative AI, or Agentic AI solutions
• Experience managing operational responsibilities including release management, environment operations (on-premises and cloud), observability/alerting, and incident management
• Experience with ServiceNow (SNOW) for ticketing, change management, and incident workflows
• Experience with Azure DevOps (ADO) for project management including Features, Stories, sprint management, and release tracking
• Experience working with development technologies including Python,.NET or Java/Spring, JavaScript
• Experience working with OpenShift container platform and developing microservices
• Experience with modern front-end technologies such as React or Angular a plus
• Experience with RESTful services and SOAP Web services development
• Experience working with applications in the cloud such as AWS or Azure a plus
• Experience with Continuous Integration and Continuous Delivery (CI/CD) pipelines
• Experience with source code management tools such as Azure DevOps, TFS, Jira or Git
• Experience interacting with relational databases, such as MySQL, PostgreSQL, Oracle, or SQL Server
• Proficiency with development techniques such as Test-Driven Development, Unit Tests, Component Tests and/or Scenario Tests a plus
• Familiarity working in a Software Development Life Cycle (SDLC) leveraging Agile principles and AI Tools such as GitHub Copilot, Claude Code or Cursor
• Experience working with software security platforms such as Snyk, and remediating security vulnerabilities
• Ability to communicate well both verbally and in writing to technical and non-technical audiences of various levels within ICE or outside the organization (executives, regulators, clients, etc.)
• Strong understanding of agent systems built using modern LLM frameworks (Ex: LangChain, LangGraph, Semantic Kernel) and foundation models from AWS Bedrock, OpenAI, or Azure OpenAI platforms
• Understanding of RAG patterns, vector database implementations, semantic search optimization, and autonomous agent architecture design
• Experience managing delivery of multi-agent systems with awareness of patterns for orchestration, coordination, and memory management (short-term and long-term)
• Ability to evaluate, test, and monitor AI agent performance using established frameworks and methodologies for non-deterministic systems
• Understanding of LLM security best practices including prompt injection prevention, data leakage mitigation, and responsible AI governance