Note: The job is a remote job and is open to candidates in USA. Solugenix is assisting a mortgage technology solutions client with hiring a hands-on Staff Engineer/AI Solutions Architect. The role will define AI strategy, identify high-value opportunities, create implementation roadmaps, lead AI solution delivery, and guide architecture and engineering teams across mortgage capital markets workflows.
Responsibilities
- Evaluate the client’s technology, data, products, and operational workflows to identify opportunities where AI can deliver measurable business value
- Define and guide an enterprise AI strategy aligned with the client’s capital markets products and long-term technology roadmap
- Develop a prioritized AI implementation roadmap covering near-term use cases and longer-term platform capabilities
- Lead hands-on implementation of AI solutions, prototypes, proofs of concept, and production-ready services
- Identify opportunities involving generative AI, large language models, intelligent document processing, data extraction, workflow automation, predictive analytics, and decision-support capabilities
- Establish appropriate patterns for retrieval-augmented generation, model integration, prompt management, evaluation, monitoring, and human oversight
- Evaluate third-party AI products, foundation models, cloud services, and internal development options
- Define AI governance and engineering guardrails related to security, privacy, explainability, accuracy, model risk, fair lending, regulatory compliance, and responsible AI use
- Assess the existing application, integration, cloud, and data landscape and recommend scalable architectural improvements
- Define solution architecture across Java, Spring Boot, Angular, AWS, data platforms, APIs, and AI services
- Establish reusable architectural patterns and standards for integrating AI capabilities into existing products and workflows
- Provide technical direction and hands-on guidance to engineering teams throughout design, development, testing, and deployment
- Review designs and code to ensure solutions meet requirements for scalability, security, performance, resiliency, and maintainability
- Partner with product, engineering, data, security, compliance, and business stakeholders to translate strategic objectives into executable technology initiatives
- Communicate technical strategy, architectural decisions, risks, and tradeoffs clearly to both technical and nontechnical stakeholders
- Apply deep mortgage-domain expertise to the design of AI-enabled technology solutions
- Identify AI opportunities across mortgage data aggregation, document review, loan-level analysis, due diligence, risk management, quality control, exception management, and reporting
- Help ensure that solutions reflect mortgage-industry workflows, data standards, investor requirements, regulatory considerations, and secondary-market practices
Skills
- 12-15+ years of overall software engineering, architecture, and implementation experience
- At least 2–3 years of recent, hands-on experience implementing AI solutions
- Strong mortgage technology and domain experience, preferably involving capital markets, secondary-market transactions, loan review, mortgage data, due diligence, risk management, or related workflows
- Deep hands-on expertise with:
- Java
- Spring Boot
- AWS
- REST APIs and distributed systems
- Cloud-native and microservices architecture
- AI, machine learning, generative AI, or large language model integration
- Experience designing and deploying secure, scalable enterprise applications in AWS
- Practical experience integrating AI models and services into existing business applications and workflows
- Experience with AI solution patterns such as retrieval-augmented generation, vector search, intelligent document processing, prompt orchestration, model evaluation, and AI observability
- Strong understanding of enterprise data architecture, data quality, integration, normalization, and governance
- Ability to evaluate an existing technology landscape and create a pragmatic, phased modernization and AI roadmap
- Demonstrated ability to remain hands-on while providing strategic and architectural leadership
- Strong communication, collaboration, facilitation, and stakeholder-management skills
Company Overview
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