Principal Solutions Architect – AI

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Location:

Dallas, TX (On-site or Hybrid as applicable)

Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future.

About Service Link

Service Link is redefining the mortgage services landscape through cutting-edge technology, data-driven insights, and AI-powered solutions. We partner with leading lenders and financial institutions to help them accelerate strategic goals, optimize operational efficiency, and deliver exceptional customer experiences.

Our commitment goes beyond traditional services— we leverage advanced automation, predictive analytics, and intelligent platforms to transform complex processes into seamless, scalable solutions.

At Service Link, innovation isn’t just a buzzword; it’s the foundation of how we uphold the highest standards of quality, compliance, and service excellence.

If you’re passionate about architecting AI solutions that solve real-world challenges in the lending ecosystem, you’ll find a home here.

About the Role

We’re seeking a visionary yet hands‑on Principal Solutions Architect – AI to lead the design and implementation of enterprise‑grade AI platforms and solutions. This role will define the blueprint for intelligent systems that leverage Agentic AI capabilities and Model Context Protocol (MCP) to enable dynamic, context‑aware workflows across the mortgage lifecycle.

You will architect solutions that go beyond static models—building adaptive, autonomous agents that interact with APIs, orchestrate tasks, and deliver measurable business impact at scale.

What You’ll Do

• 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.

What Sets You Apart

• You understand Agentic AI architectures and can design systems where autonomous agents collaborate to achieve business goals.
• You have experience implementing MCP for secure, standardized communication between models and enterprise tools.
• You thrive in complexity and can simplify it into elegant, scalable solutions.
• You balance innovation with compliance and security in regulated environments.

Required Experience

• 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 (Lang Chain, Semantic Kernel, CrewAI, or similar).
• Experience in hosting and optimizing AI models on GPUs, TPUs, and distributed environments
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• Strong knowledge of MLOps, MCP, RAG architectures, and distributed systems
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• Familiarity with vector databases and retrieval pipelines for RAG.
• Excellent communication and stakeholder management skills.

Preferred Experience

• Experience with Generative AI
  , LLM…