Senior AI Engineer

Senior AI Engineer - Agentic Solutions
Candidates must be able to convert to full time without sponsorship
Candidates must interview onsite in Conroe, TX. Hybrid schedule, 3 days a week.
Need two professional references at the time of submission along with LinkedIn profile.
Candidate Must work on Apolis W2

Requirements:
Agentic AI
Agentic Orchestration (LangChain, LangGraph, Crew AI, Semantic Kernel, etc.)
Microsoft Foundry (including Azure AI Search) or AWS equivalents
Python
RAG
Data pipeline development
Vector Databases
API development

About this role
As a Senior AI Engineer, you will design and ship agentic systems that make redesigned workflows real. This role is not about optimizing what already exists-you will build AI-native processes from the ground up, translating business intent into production-grade systems.

This is a high-ownership, hands-on role. You will prototype rapidly, validate with domain experts, and deploy incrementally. We are looking for someone deeply passionate about AI who stays current by choice and can innovate quickly within established governance, security, and data guardrails.

Job Duties
• Design, build, and deploy end-to-end, multi-step agentic AI systems that replace or reimagine DBS business workflows.
• Architect agent pipelines using tool-calling, memory, retrieval-augmented generation, and orchestration patterns appropriate to workflow risk and complexity.
• Implement human-in-the-loop and escalation mechanisms for high-risk or low-confidence decisions.
• Integrate agentic systems with enterprise data sources, internal APIs, and third-party tools in compliance with security and data governance policies.
• Ensure strong data grounding, output quality, reliability, and graceful failure behavior in production systems.
• Select appropriate GenAI frameworks and manage LLM integrations, prompts, and model versions.
• Own delivery end-to-end from rapid prototype through pilot and production deployment.
• Work closely with process owners, domain experts, and governance partners to deliver trusted, usable solutions.

Qualifications
• An undergraduate degree in STEM with 5+ years in software or related domain, featuring 2+ years specialized in AI/ML, LLM solutions, and hands-on development of agentic systems.
• Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and agent orchestration, with experience using LangGraph (or similar) for stateful, tool-driven execution.
• Experience deploying and operating LLM/agent workflows in production, including monitoring and evaluation.
• Working knowledge of Azure based cloud environments, including Azure AI Foundry and Databricks, in enterprise settings.
• Self-directed learner with strong problem-solving skills and practical business judgment.

Opportunities for Growth
• Shape how AI-native workflows and agentic patterns scale across DBS.
• Grow from delivering individual agentic systems to owning higher-impact AI initiatives and cross-workflow architectures.
• Work hands-on with emerging GenAI models, frameworks, and real production deployments.

Additional information:

• Must be in or around Conroe, TX
• Position is for a Hybrid work schedule