AI Solution Engineer

Overview

Trustmark’s mission is to improve wellbeing – for everyone. It is a mission grounded in a belief in equality and born from our caring culture. It is a culture we can only realize by building trust. Trust established by ensuring associates feel respected, valued and heard. At Trustmark, you’ll work collaboratively to transform lives and help people, communities and businesses thrive.

Flourish in a culture of diversity and inclusion where appreciation, mutual respect and trust are constants, not just for our customers but for ourselves. At Trustmark, we have a commitment to welcoming people, no matter their background, identity or experience, to a workplace where they feel safe being their whole, authentic selves. A workplace made up of diverse, empowered individuals that allows ideas to thrive and enables us to bring the best to our colleagues, clients and communities.

Responsible for building, integrating, and deploying Agentic AI and Generative AI solutions - transforming high-level Agentic Architectures into robust, production-ready systems. Partners closely with the AI Solution Lead, data engineering, software engineering to implement industry-quality AI systems. The ideal candidate brings hands-on knowledge of LLMs, retrieval systems, agentic architecture, evaluation frameworks, and enterprise-grade deployment patterns.

AI Solution Engineering & Implementation:

• Build AI engineering applications at Trustmark and take full ownership of solution development and delivery.
• Work with AI Solution Lead to implement AI solutions - agentic workflows, tool integration, orchestration patterns, retrieval and RAG design, guardrails, observability.
• Convert solution designs into working prototypes, proof-of-concepts, and production-grade modules.
• Develop agentic workflows, tool-calling flows, and automation steps using frameworks such as Lang Chain, Lang Graph, Llama Index, Auto Gen, and workflow tools like n8n.
• Implement system integrations with enterprise APIs, databases, authentication layers, and cloud services.
• Ensure all components meet performance, reliability, security, and compliance standards.
• Technology Evaluation:
  Continuously evaluate emerging AI, GenAI, and agentic technologies, frameworks, and tools to propose innovative solutions and ensure the AI tech stack remains current.

Product Delivery & Technical Execution

• Translate business requirements into working AI solutions, focusing on coding, integration, and deployment.
• Execute end-to-end delivery of AI features, from prototyping and testing to deployment, monitoring, and performance tuning.
• Build and maintain production-grade pipelines for data ingestion, model training, and inference using MLOps best practices with focus on generative models.
• Collaborate with internal teams to leverage advancements in generative AI for solution enhancements.

Technical Support & Documentation

• Provide technical troubleshooting and support for deployed AI solutions, ensuring smooth operation and quick resolution of issues.
• Maintain detailed documentation of SDLC process, AI architecture, workflows, operational guidelines, and troubleshooting steps for maintainability and knowledge transfer.
• Assist internal teams with technical queries related to AI solution deployment and integration.

• Bachelor’s degree in computer science, Data Science, or a closely related technical field.
• 5+ years of hands-on experience in AI/ML engineering, applied data science, or intelligent systems
• Hands-on experience developing and deploying solutions using traditional AI/ML solutions including predictive modeling, NLP, optimization, and anomaly detection.
• Practical experience developing and deploying AI solutions using LLM and agentic frameworks - Lang Chain, Lang Graph, Llama Index, Auto Gen.
• Strong hands-on proficiency in Python for application and ML development;
• Solid data curation skills: experience organizing, validating, and maintaining high‑quality datasets; building reliable batch/stream workflows for ongoing retraining and data refreshing.
• Proficient with foundational Generative AI models (e.g., Open AI, Llama, Gemini, Claude) and…