AI Solution Lead

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 driving the design, delivery, and enterprise adoption of Agentic AI and Generative AI solutions. Partners closely with business stakeholders, engineering teams, and product owners to translate strategic priorities into scalable, production-grade AI solutions that deliver measurable value.

• Lead the AI engineering efforts at Trustmark and take full ownership of solution design, development, and delivery.
• Translate business problems into actionable AI architectures and solution blueprints - agentic workflows, tool integration, orchestration patterns, retrieval and RAG design, guardrails, observability.
• Work with Info Sec, Data and AI governance teams to establish frameworks for AI governance, ethical, and compliant AI development.
• Act as a thought leader, influencing stakeholders on emerging AI paradigms and responsible AI practices.
• LLM Strategy:
  Define the strategy for model selection (Open vs Proprietary) fine-tuning, and RAG architectures to ensure domain specificity and data privacy.
• Technology Evaluation:
  Continuously evaluate emerging AI, GenAI, and agentic technologies, frameworks, and tools to propose innovative solutions and ensure the architecture remains current.

• Independently design end-to-end solution architecture for AI systems integrating data, LLMs and multi-agent systems with existing applications and data sources.
• Own a focused portfolio of agentic and GenAI initiatives; ensure alignment to business strategy and enterprise AI roadmap. Create and maintain solution architecture artifacts, risk/issue.

• Work closely with business stakeholders, engineers and other IT teams and partners to develop, test, and iterate on AI products.

• Build scalable industry strength AI solutions - including CI/CD pipelines, automated testing, version control for models/data.
• Establish comprehensive monitoring and observability frameworks to track AI system performance, cost-per-query, data/model drift, and potential anomalies in production environments.
• Collaborate with the enterprise AI Change Management and Education teams to ensure impactful communication strategies to promote AI success stories and best practices.
• Lead the design and rapid prototyping of AI components to validate architectural approaches and showcase transformative capabilities to stakeholders.

• Bachelor’s degree in computer science, Data Science, or a related technical field.
• 8+ years of experience in AI/ML engineering with hands-on delivery in full stack development in production environments.
• Very strong experience in building traditional AI/ML solutions including predictive modeling, NLP, optimization, and anomaly detection, with hands-on delivery in production environments.
• Evolving experience with Agentic AI and Generative AI frameworks, including chat and voice-based applications, RAG, and working with leading LLMs and multimodal models.
• Very strong experience in deploying full-stack software applications.
• Experience with cloud platforms and MLOps practices for deploying and managing models in production.
• Strong expertise in deploying optimized performance tested scalable AI/ML…