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ServiceLink · 1 month ago

Principal Solutions Architect – AI

DFW Metroplex

Full-time

Hybrid

Lead/Staff

10+ years exp

ServiceLink is redefining the mortgage services landscape through cutting-edge technology and AI-powered solutions. The Principal Solutions Architect – AI will lead the design and implementation of enterprise-grade AI platforms, defining strategies for intelligent systems that leverage advanced AI capabilities to enhance operational efficiency.

Asset ManagementFinancial ServicesInsurance

No H1B

Responsibilities

Architectural Leadership: Define and own the AI architecture strategy, incorporating Agentic AI patterns and MCP-based interoperability for scalable, context-aware systems

Multi-Agent Orchestration: Design frameworks where autonomous agents collaborate, share context, and execute complex workflows with minimal human intervention

Context Management: Implement MCP for secure, standardized context exchange between models, agents, and enterprise APIs, ensuring persistence and auditability

Tool Integration Layer: Build extensible registries for dynamic agent access to APIs, RPA bots, and external services with robust permissioning

Governance & Compliance: Establish guardrails for agent autonomy, policy-driven orchestration, and ethical AI practices in regulated environments

Observability & Control: Architect dashboards for agent telemetry, performance monitoring, and human-in-the-loop intervention

Security & Identity: Integrate RBAC, secure token exchange, and encryption for agent communications

Scalability & Resilience: Design for horizontal scaling of agent clusters and implement failover/self-healing mechanisms

Collaboration: Partner with architects, engineering, data science, and product teams to re-engineer business processes using AI-driven automation and agentic orchestration

Mentorship: Guide technical teams and foster a culture of innovation and continuous learning

Qualification

AI architecture strategyAgentic AI patternsMCP implementationMulti-agent systemsMLOpsLLM deploymentDistributed systemsVector databasesStakeholder managementCommunication

Required

10+ years in software architecture with at least 5 years in AI/ML solution design

Proven experience architecting enterprise-grade AI platforms and multi-agent systems

Experience with LLM deployment, fine-tuning, and agentic orchestration frameworks (LangChain, Semantic Kernel, CrewAI, or similar)

Experience in hosting and optimizing AI models on GPUs, TPUs, and distributed environments

Strong knowledge of MLOps, MCP, RAG architectures, and distributed systems

Familiarity with vector databases and retrieval pipelines for RAG

Excellent communication and stakeholder management skills

Preferred

Experience with Generative AI, LLM orchestration, and Agentic AI frameworks (LangChain, Semantic Kernel / Microsoft Agent Framework, CrewAI, or similar)

Background in B2B SaaS, enterprise platforms, or regulated industries

Knowledge of AI ethics, compliance, and regulatory frameworks