Lead AI Engineer

JOB DESCRIPTION - PERM - 185k +7.5% bonus - HYBRID (2-3 days onsite)

Insight Global is hiring an AI engineer for one of our DFW based property technology clients. This client is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence within the Property Tech domain. Their Agentic AI team is focused on driving innovation by building next generation AI applications and enhancing existing systems with Generative AI capabilities.

We are seeking a Lead AI Engineer who is a senior technical leader responsible for driving the strategy, architecture, and delivery of Agentic and Generative AI solutions across our Prop Tech portfolio. You will define and implement the technical roadmap for AI systems, mentor the AI engineering team, and collaborate with executives and product leaders to identify high-impact AI opportunities.

This is a hybrid role requiring 2-3 days in office at our client's Richardson, TX location.

• Typically 8+ years of experience in Software Engineering, ML Engineering, or Data Science, with 3+ years hands‑on in Applied AI/LLMs and at least 2+ years in a senior/lead role.
• Deep expertise in:
• Designing and operating distributed, cloud‑native systems (GCP, Azure, or AWS)
• Containerization and orchestration (Docker, Kubernetes) and modern CI/CD.
• Working with coding assistants like Windsurf, Cursor, Codex, etc.
• Proven track record of:
• Architecting and shipping complex AI systems to production at scale
• Leading multi‑engineer initiatives and mentoring others
• Making data‑driven tradeoffs between speed, quality, and cost.
• Advanced experience with:
• LLM‑based application design (prompting, tool use, function calling, multi‑agent workflows)
• RAG architectures, vector databases, and retrieval optimization techniques
• AI observability, monitoring, and evaluation frameworks.
• Excellent communication and stakeholder management skills:
• Ability to communicate complex AI concepts to executives and non‑technical partners
• Comfortable representing AI strategy and progress to leadership and cross‑functional teams.

• Experience with:
• Working with coding assistants like Windsurf, Cursor, Codex, etc.
• Multimodal and real‑time agents (voice + text + UI control, streaming interactions).
• Background in:
• AI experiment tracking and evaluation frameworks (e.g., OpenAI Evals, Langsmith Evals, etc.)
• Data platforms (data lakes/warehouses, feature stores, event streams like Kafka)
• Designing AI products in domains with strong regulatory or privacy constraints.
• Experience building organizational AI strategies, setting standards, and helping define AI hiring and capability roadmaps.