Ai Solution Architect

Primary Location: US - Dallas, TX - 13355 Noel Road Compensation: USD 190,000 - USD 220,000 - yearly Job Description As an AI Solution Architect, you will lead the architectural evolution of Oscar, our enterprise AI platform used across the organization. This is a highly technical, hands‑on role focused on building secure, observable, production‑grade LLM systems at scale. You will define the architectural runway for future capabilities like agent orchestration, tool‑use frameworks, and enterprise data integration while staying deeply engaged in technical spikes, design reviews, and delivery execution. This role sits at the intersection of LLM engineering, Azure cloud architecture, and real‑world enterprise deployment. This position will offer flexibility for hybrid work schedules to include both in‑office presence and telecommute/virtual work, to be based from either Houston or Dallas, TX. Key Responsibilities Define and evolve the AI architecture roadmap for Oscar, building scalable patterns for LLM integration, RAG pipelines, and agent‑based workflows Architect and optimize production‑grade RAG systems, including retrieval strategies, embedding design, vector search tuning, and model orchestration in Azure Lead technical spikes and convert prototypes into secure, production‑ready implementations Establish observability, alerting, cost efficiency, and performance standards for AI services operating at enterprise scale Mentor engineers through Sprint execution, conduct design and code reviews, and elevate overall engineering quality Evaluate emerging AI frameworks (e.g., MCP, orchestration patterns) and introduce practical innovations aligned to product roadmap needs Qualifications Minimum Qualifications Bachelor's Degreeplus at least 10 years of distributed systems or enterprise platforms experience, including 3+ years deploying AI/LLM systems into production environments, or demonstrated equivalent experience and education Proven hands‑on experience designing and implementing RAG architectures in enterprise environments Deep expertise with Azure cloud services and cloud‑native application design Strong foundation in APIs, distributed systems, security controls, and production observability Comfortable operating hands‑on while leading technical direction Preferred Qualifications Experience building or scaling enterprise chatbots or AI‑driven internal platforms Familiarity with agent orchestration frameworks, Model Context Protocol (MCP), MLOps/DevSecOps practices, and multi‑agent architectures Additional Information Relocation assistance is not available for this position Sponsorship for US work authorization is not available for this position, now or in the future. AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well‑being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr